From 229eee6e1549e4fedda0a529daa222a0dcba0d22 Mon Sep 17 00:00:00 2001
From: spirosperos <gicko3@gmail.com>
Date: Thu, 7 Aug 2025 16:46:01 +0200
Subject: [PATCH 1/9] Initial commit

---
 .pre-commit-config.yaml                       |   6 +
 .../hi_rl_test_gamepad.json                   |  92 ++++++
 ...l_serl_simulation_training_guide_README.md |  98 ++++++
 .../train_gym_hil_env_gamepad.json            | 297 ++++++++++++++++++
 media/hil-serl-sim/panda-hil-serl.gif         | Bin 0 -> 12514044 bytes
 .../hil-serl-sim/train_intervention_rate.png  | Bin 0 -> 128185 bytes
 src/lerobot/envs/configs.py                   |   2 +
 src/lerobot/scripts/rl/actor.py               |   9 +
 src/lerobot/scripts/rl/gym_manipulator.py     |  84 ++++-
 src/lerobot/scripts/rl/learner.py             |  57 ++++
 10 files changed, 630 insertions(+), 15 deletions(-)
 create mode 100644 examples/hil_serl_simulation_training/hi_rl_test_gamepad.json
 create mode 100644 examples/hil_serl_simulation_training/hil_serl_simulation_training_guide_README.md
 create mode 100644 examples/hil_serl_simulation_training/train_gym_hil_env_gamepad.json
 create mode 100644 media/hil-serl-sim/panda-hil-serl.gif
 create mode 100644 media/hil-serl-sim/train_intervention_rate.png

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index f09017991f..05460711ac 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -36,26 +36,32 @@ repos:
       - id: check-yaml
       - id: check-toml
       - id: end-of-file-fixer
+        exclude: ^(outputs/|examples/hil_serl_simulation_training/outputs/)
       - id: trailing-whitespace
+        exclude: ^(outputs/|examples/hil_serl_simulation_training/outputs/)
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
     rev: v0.12.4
     hooks:
       - id: ruff-format
+        exclude: ^(outputs/|examples/hil_serl_simulation_training/outputs/)
       - id: ruff
         args: [--fix, --exit-non-zero-on-fix]
+        exclude: ^(outputs/|examples/hil_serl_simulation_training/outputs/)
 
   - repo: https://github.com/adhtruong/mirrors-typos
     rev: v1.34.0
     hooks:
       - id: typos
         args: [--force-exclude]
+        exclude: ^(outputs/|examples/hil_serl_simulation_training/outputs/)
 
   - repo: https://github.com/asottile/pyupgrade
     rev: v3.20.0
     hooks:
     -   id: pyupgrade
         args: [--py310-plus]
+        exclude: ^(outputs/|examples/hil_serl_simulation_training/outputs/)
 
   ##### Markdown Quality #####
   - repo: https://github.com/rbubley/mirrors-prettier
diff --git a/examples/hil_serl_simulation_training/hi_rl_test_gamepad.json b/examples/hil_serl_simulation_training/hi_rl_test_gamepad.json
new file mode 100644
index 0000000000..4b040a9df2
--- /dev/null
+++ b/examples/hil_serl_simulation_training/hi_rl_test_gamepad.json
@@ -0,0 +1,92 @@
+{
+    "type": "hil",
+    "wrapper": {
+        "gripper_penalty": -0.02,
+        "display_cameras": false,
+        "add_joint_velocity_to_observation": true,
+        "add_ee_pose_to_observation": true,
+        "crop_params_dict": {
+            "observation.images.front": [
+                0,
+                0,
+                128,
+                128
+            ],
+            "observation.images.wrist": [
+                0,
+                0,
+                128,
+                128
+            ]
+        },
+        "resize_size": [
+            128,
+            128
+        ],
+        "control_time_s": 40.0,
+        "use_gripper": true,
+        "fixed_reset_joint_positions": [
+            0.0,
+            0.195,
+            0.0,
+            -2.43,
+            0.0,
+            2.62,
+            0.785
+        ],
+        "reset_time_s": 2.0,
+        "control_mode": "gamepad"
+    },
+    "use_viewer": true,
+    "use_gamepad": true,
+    "name": "franka_sim",
+    "mode": "record",
+    "repo_id": "username/panda-pick-gamepad",
+    "dataset_root": "./recordings_static_gamepad",
+    "task": "PandaPickCubeGamepad-v0",
+    "num_episodes": 30,
+    "episode": 0,
+    "pretrained_policy_name_or_path": null,
+    "device": "cuda",
+    "push_to_hub": true,
+    "fps": 10,
+    "random_block_position": true,
+    "features": {
+        "observation.images.front": {
+            "type": "VISUAL",
+            "shape": [
+                3,
+                128,
+                128
+            ]
+        },
+        "observation.images.wrist": {
+            "type": "VISUAL",
+            "shape": [
+                3,
+                128,
+                128
+            ]
+        },
+        "observation.state": {
+            "type": "STATE",
+            "shape": [
+                18
+            ]
+        },
+        "action": {
+            "type": "ACTION",
+            "shape": [
+                4
+            ]
+        }
+    },
+    "features_map": {
+        "observation.images.front": "observation.images.front",
+        "observation.images.wrist": "observation.images.wrist",
+        "observation.state": "observation.state",
+        "action": "action"
+    },
+    "reward_classifier_pretrained_path": null,
+    "number_of_steps_after_success": 0
+}
diff --git a/examples/hil_serl_simulation_training/hil_serl_simulation_training_guide_README.md b/examples/hil_serl_simulation_training/hil_serl_simulation_training_guide_README.md
new file mode 100644
index 0000000000..1543b7b51e
--- /dev/null
+++ b/examples/hil_serl_simulation_training/hil_serl_simulation_training_guide_README.md
@@ -0,0 +1,98 @@
+# LeRobot Training Guide: Panda Cube Picking
+
+A concise guide for training a robot policy to pick cubes using LeRobot's HIL-SERL framework.
+
+## Installation
+
+Install LeRobot with HIL-SERL support as shown in the [official documentation](https://huggingface.co/docs/lerobot/hilserl):
+
+```bash
+pip install -e ".[hilserl]"
+```
+
+## Recording Demonstrations
+
+Proceed with recording sample episodes for pretraining the reinforcement learning algorithm:
+
+```bash
+python -m lerobot.scripts.rl.gym_manipulator --config_path examples/hil_serl_simulation_training/hi_rl_test_gamepad.json
+```
+
+**Important Notes:**
+
+- **Recommended**: Collect 30-40 episodes including some failed picking attempts
+- **Control**: Use a gamepad controller for better end-effector control (configuration already set up)
+- **Dataset Storage**:
+  - `dataset_root` points to local folder where dataset is saved
+  - `repo_id` points to HuggingFace account for dataset upload
+  - **Prerequisite**: Install and authorize HuggingFace CLI with token to push datasets and replace the username in the `hi_rl_test_gamepad.json` and `train_gym_hil_env_gamepad.json`
+
+## Training the Policy
+
+Start both the learner and actor using these commands:
+
+```bash
+# Terminal 1: Start learner
+python -m lerobot.scripts.rl.learner --config_path examples/hil_serl_simulation_training/train_gym_hil_env_gamepad.json
+
+# Terminal 2: Start actor
+python -m lerobot.scripts.rl.actor --config_path examples/hil_serl_simulation_training/train_gym_hil_env_gamepad.json
+```
+
+The learner initializes with parameters from the offline training dataset.
+
+## Human Intervention Strategy
+
+**Important**: Allow the policy a few episodes to test picking on its own before intervening.
+
+**Best practices** for human intervention (see [official guide](https://huggingface.co/docs/lerobot/hilserl#guide-to-human-interventions)):
+
+1. **Guide the end effector back to the object** if it's drifting away from the cube
+2. **Guide the end effector above the cube** and let the policy try to pick it and raise it
+3. **Completely pick the object** if needed
+
+**Progression Strategy:**
+
+- As training progresses, interventions should become less aggressive
+- Once the policy manages to pick the cube on its own, start intervening only to guide the end effector to the approximate area where the object is found
+
+## Training Results
+
+The fully trained policy result can be seen in this video:
+
+![Panda Cube Picking Demo](../../media/hil-serl-sim/panda-hil-serl.gif)
+
+## Resuming Training from Checkpoint
+
+Checkpoints are automatically saved based on the `save_freq` parameter in `train_gym_hil_env_gamepad.json` and are stored in the `outputs` folder.
+
+To resume training, both actor and learner need to be called with the policy path:
+
+```bash
+# Terminal 1: Resume learner
+python -m lerobot.scripts.rl.learner --config_path examples/hil_serl_simulation_training/train_gym_hil_env_gamepad.json --policy.path=examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/pretrained_model
+
+# Terminal 2: Resume actor
+python -m lerobot.scripts.rl.actor --config_path examples/hil_serl_simulation_training/train_gym_hil_env_gamepad.json --policy.path=examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/pretrained_model
+```
+
+Where `policy.path` is the full path to the locally saved checkpoints.
+
+## Monitoring Training
+
+Set the Weights & Biases flag to `true` in `train_gym_hil_env_gamepad.json` to follow live training results.
+
+The trained intervention rate should approximately look like this after a while:
+
+![Training Intervention Rate](../../media/hil-serl-sim/train_intervention_rate.png)
+
+## Configuration Files
+
+- `hi_rl_test_gamepad.json`: Recording configuration
+- `train_gym_hil_env_gamepad.json`: Training configuration
+
+## Key Parameters
+
+- **Save Frequency**: Controlled by `save_freq` in training config
+- **Checkpoint Location**: `outputs/train/YYYY-MM-DD/HH-MM-SS_jobname/checkpoints/`
+- **Policy Path**: Points to `pretrained_model/` directory within checkpoints
diff --git a/examples/hil_serl_simulation_training/train_gym_hil_env_gamepad.json b/examples/hil_serl_simulation_training/train_gym_hil_env_gamepad.json
new file mode 100644
index 0000000000..1477bab25b
--- /dev/null
+++ b/examples/hil_serl_simulation_training/train_gym_hil_env_gamepad.json
@@ -0,0 +1,297 @@
+{
+    "output_dir": null,
+    "job_name": "default",
+    "resume": false,
+    "seed": 1000,
+    "num_workers": 4,
+    "batch_size": 256,
+    "steps": 100000,
+    "log_freq": 30,
+    "save_checkpoint": true,
+    "save_freq": 100,
+    "wandb": {
+        "enable": false,
+        "project": "franka_sim",
+        "disable_artifact": true
+    },
+    "dataset": {
+        "repo_id": "hf_username/panda-pick-gamepad",
+        "use_imagenet_stats": false,
+        "video_backend": "pyav"
+    },
+    "policy": {
+        "type": "sac",
+        "n_obs_steps": 1,
+        "repo_id": "hf_username/panda-pick-gamepad-policy",
+
+        "normalization_mapping": {
+            "VISUAL": "MEAN_STD",
+            "STATE": "MIN_MAX",
+            "ENV": "MIN_MAX",
+            "ACTION": "MIN_MAX"
+        },
+        "input_features": {
+            "observation.images.front": {
+                "type": "VISUAL",
+                "shape": [
+                    3,
+                    128,
+                    128
+                ]
+            },
+            "observation.images.wrist": {
+                "type": "VISUAL",
+                "shape": [
+                    3,
+                    128,
+                    128
+                ]
+            },
+            "observation.state": {
+                "type": "STATE",
+                "shape": [
+                    18
+                ]
+            }
+        },
+        "output_features": {
+            "action": {
+                "type": "ACTION",
+                "shape": [
+                    3
+                ]
+            }
+        },
+        "dataset_stats": {
+            "observation.images.front": {
+                "mean": [
+                    0.485,
+                    0.456,
+                    0.406
+                ],
+                "std": [
+                    0.229,
+                    0.224,
+                    0.225
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+            },
+            "observation.images.wrist": {
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+                    0.456,
+                    0.406
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+                    0.225
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+        },
+        "num_discrete_actions": 3,
+        "device": "cuda",
+        "storage_device": "cpu",
+        "use_amp": false,
+        "use_torch_compile": true,
+        "shared_encoder": true,
+        "freeze_vision_encoder": true,
+        "vision_encoder_name": "helper2424/resnet10",
+        "image_encoder_hidden_dim": 32,
+        "image_embedding_pooling_dim": 8,
+        "state_encoder_hidden_dim": 256,
+        "latent_dim": 64,
+        "actor_network_kwargs": {
+            "hidden_dims": [
+                256,
+                256
+            ],
+            "activate_final": true
+        },
+        "critic_network_kwargs": {
+            "hidden_dims": [
+                256,
+                256
+            ],
+            "activate_final": true,
+            "final_activation": null
+        },
+        "discrete_critic_network_kwargs": {
+            "hidden_dims": [
+                256,
+                256
+            ],
+            "activate_final": true,
+            "final_activation": null
+        },
+        "num_critics": 2,
+        "num_subsample_critics": null,
+        "actor_lr": 0.0003,
+        "critic_lr": 0.0003,
+        "temperature_lr": 0.0003,
+        "temperature_init": 0.01,
+        "target_entropy": null,
+        "use_backup_entropy": true,
+        "discount": 0.97,
+        "critic_target_update_weight": 0.005,
+        "policy_update_freq": 1,
+        "utd_ratio": 2,
+        "grad_clip_norm": 10.0,
+        "policy_kwargs": {
+            "std_max": 5.0,
+            "std_min": 1e-05,
+            "init_final": 0.05,
+            "use_tanh_squash": true
+        },
+        "offline_buffer_capacity": 100000,
+        "online_buffer_capacity": 100000,
+        "online_steps": 1000000,
+        "online_step_before_learning": 100,
+        "online_env_seed": 10000,
+        "push_to_hub": true,
+        "license": null,
+        "private": null,
+        "tags": null,
+        "concurrency": {
+            "actor": "threads",
+            "learner": "threads"
+        },
+        "async_prefetch": false,
+        "actor_learner_config": {
+            "learner_host": "127.0.0.1",
+            "learner_port": 50051,
+            "policy_parameters_push_frequency": 1,
+            "queue_get_timeout": 2
+        }
+    },
+    "env": {
+        "type": "hil",
+        "wrapper": {
+            "gripper_penalty": -0.02,
+            "display_cameras": false,
+            "add_joint_velocity_to_observation": true,
+            "add_ee_pose_to_observation": true,
+            "crop_params_dict": {
+                "observation.images.front": [
+                    0,
+                    0,
+                    128,
+                    128
+                ],
+                "observation.images.wrist": [
+                    0,
+                    0,
+                    128,
+                    128
+                ]
+            },
+            "resize_size": [
+                128,
+                128
+            ],
+            "control_time_s": 30.0,
+            "fixed_reset_joint_positions": [
+                0.0,
+                0.195,
+                0.0,
+                -2.43,
+                0.0,
+                2.62,
+                0.785
+            ],
+            "reset_time_s": 2.0,
+            "control_mode": "gamepad"
+        },
+        "name": "franka_sim",
+        "mode": null,
+        "repo_id": "hf_username/panda-pick-gamepad",
+        "dataset_root": null,
+        "task": "PandaPickCubeGamepad-v0",
+        "num_episodes": 30,
+        "episode": 0,
+        "pretrained_policy_name_or_path": null,
+        "device": "cuda",
+        "push_to_hub": true,
+        "fps": 10,
+        "random_block_position": true,
+        "number_of_steps_after_success": 0,
+        "features": {
+            "observation.images.front": {
+                "type": "VISUAL",
+                "shape": [
+                    3,
+                    128,
+                    128
+                ]
+            },
+            "observation.images.wrist": {
+                "type": "VISUAL",
+                "shape": [
+                    3,
+                    128,
+                    128
+                ]
+            },
+            "observation.state": {
+                "type": "STATE",
+                "shape": [
+                    18
+                ]
+            },
+            "action": {
+                "type": "ACTION",
+                "shape": [
+                    3
+                ]
+            }
+        },
+        "features_map": {
+            "observation.images.front": "observation.images.front",
+            "observation.images.wrist": "observation.images.wrist",
+            "observation.state": "observation.state",
+            "action": "action"
+        },
+        "reward_classifier_pretrained_path": null
+    }
+}
diff --git a/media/hil-serl-sim/panda-hil-serl.gif b/media/hil-serl-sim/panda-hil-serl.gif
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literal 0
HcmV?d00001

diff --git a/src/lerobot/envs/configs.py b/src/lerobot/envs/configs.py
index 35797c6edf..0f4f106a5a 100644
--- a/src/lerobot/envs/configs.py
+++ b/src/lerobot/envs/configs.py
@@ -232,6 +232,7 @@ class HILEnvConfig(EnvConfig):
     action_dim: int = 4
     fps: int = 100
     episode_length: int = 100
+    random_block_position: bool = False  # Add flag to randomize cube position
     video_record: VideoRecordConfig = field(default_factory=VideoRecordConfig)
     features: dict[str, PolicyFeature] = field(
         default_factory=lambda: {
@@ -270,4 +271,5 @@ def gym_kwargs(self) -> dict:
             "use_viewer": self.use_viewer,
             "use_gamepad": self.use_gamepad,
             "gripper_penalty": self.gripper_penalty,
+            "random_block_position": self.random_block_position,  # Pass the flag to gym environment
         }
diff --git a/src/lerobot/scripts/rl/actor.py b/src/lerobot/scripts/rl/actor.py
index 1c8f9286bf..fcbbd4230d 100644
--- a/src/lerobot/scripts/rl/actor.py
+++ b/src/lerobot/scripts/rl/actor.py
@@ -285,6 +285,15 @@ def act_with_policy(
         else:
             action = online_env.action_space.sample()
 
+        # Debug logging for action generation
+        if interaction_step % 100 == 0:  # Log every 100 steps to avoid spam
+            action_np = action.detach().cpu().numpy() if hasattr(action, "detach") else action
+            logging.info(f"[ACTOR] Step {interaction_step}: Action = {action_np}")
+            if len(action_np) >= 4:
+                logging.info(
+                    f"[ACTOR] Gripper action (4th dim): {action_np[3]:.3f} (0=close, 1=stay, 2=open)"
+                )
+
         next_obs, reward, done, truncated, info = online_env.step(action)
 
         sum_reward_episode += float(reward)
diff --git a/src/lerobot/scripts/rl/gym_manipulator.py b/src/lerobot/scripts/rl/gym_manipulator.py
index c8be6b7dd7..68c8ce02d5 100644
--- a/src/lerobot/scripts/rl/gym_manipulator.py
+++ b/src/lerobot/scripts/rl/gym_manipulator.py
@@ -614,11 +614,18 @@ def __init__(self, env, control_time_s, fps):
         self.control_time_s = control_time_s
         self.fps = fps
 
-        self.last_timestamp = 0.0
+        self.episode_start_time = 0.0
         self.episode_time_in_s = 0.0
 
+        # Keep max_episode_steps as a fallback, but prioritize actual time
         self.max_episode_steps = int(self.control_time_s * self.fps)
 
+        # Debug logging
+        logging.info(
+            f"TimeLimitWrapper initialized: control_time_s={control_time_s}s, "
+            f"fps={fps}, max_episode_steps={self.max_episode_steps}"
+        )
+
         self.current_step = 0
 
     def step(self, action):
@@ -632,16 +639,41 @@ def step(self, action):
             Tuple of (observation, reward, terminated, truncated, info).
         """
         obs, reward, terminated, truncated, info = self.env.step(action)
-        time_since_last_step = time.perf_counter() - self.last_timestamp
-        self.episode_time_in_s += time_since_last_step
-        self.last_timestamp = time.perf_counter()
+
+        # Calculate elapsed time since episode start
+        current_time = time.perf_counter()
+        self.episode_time_in_s = current_time - self.episode_start_time
         self.current_step += 1
-        # check if last timestep took more time than the expected fps
-        if 1.0 / time_since_last_step < self.fps:
-            logging.debug(f"Current timestep exceeded expected fps {self.fps}")
 
-        if self.current_step >= self.max_episode_steps:
-            terminated = True
+        # Check if we've exceeded the time limit
+        if self.episode_time_in_s >= self.control_time_s:
+            truncated = True
+            logging.info(
+                f"Episode terminated due to time limit: {self.episode_time_in_s:.2f}s >= {self.control_time_s}s"
+            )
+
+        # Fallback: also check step limit as safety
+        elif self.current_step >= self.max_episode_steps:
+            truncated = True
+            logging.info(
+                f"Episode terminated due to step limit: {self.current_step} >= {self.max_episode_steps}"
+            )
+
+        # Debug logging every 10 steps (more frequent for debugging)
+        if self.current_step % 10 == 0:
+            logging.info(
+                f"Episode step {self.current_step}: {self.episode_time_in_s:.2f}s elapsed, "
+                f"{self.control_time_s - self.episode_time_in_s:.2f}s remaining, "
+                f"max_steps={self.max_episode_steps}"
+            )
+
+        # Log when episode is about to end
+        if self.episode_time_in_s >= self.control_time_s * 0.9:  # Log when 90% of time is used
+            logging.info(
+                f"Episode approaching time limit: {self.episode_time_in_s:.2f}s / "
+                f"{self.control_time_s}s ({self.episode_time_in_s / self.control_time_s * 100:.1f}%)"
+            )
+
         return obs, reward, terminated, truncated, info
 
     def reset(self, seed=None, options=None):
@@ -649,14 +681,14 @@ def reset(self, seed=None, options=None):
         Reset the environment and time tracking.
 
         Args:
-            seed: Random seed for reproducibility.
-            options: Additional reset options.
+            seed: A seed for random number generation.
+            options: Additional options for reset.
 
         Returns:
-            The initial observation and info from the wrapped environment.
+            Tuple of (observation, info) from the wrapped environment.
         """
+        self.episode_start_time = time.perf_counter()
         self.episode_time_in_s = 0.0
-        self.last_timestamp = time.perf_counter()
         self.current_step = 0
         return self.env.reset(seed=seed, options=options)
 
@@ -1853,6 +1885,11 @@ def make_robot_env(cfg: EnvConfig) -> gym.Env:
     if cfg.type == "hil":
         import gym_hil  # noqa: F401
 
+        # Debug logging
+        random_block_pos = getattr(cfg, "random_block_position", False)
+        logging.info(f"Creating HIL environment with random_block_position={random_block_pos}")
+        logging.info(f"Episode time limit: {cfg.wrapper.control_time_s if cfg.wrapper else 'None'} seconds")
+
         # TODO (azouitine)
         env = gym.make(
             f"gym_hil/{cfg.task}",
@@ -1860,9 +1897,17 @@ def make_robot_env(cfg: EnvConfig) -> gym.Env:
             render_mode="human",
             use_gripper=cfg.wrapper.use_gripper,
             gripper_penalty=cfg.wrapper.gripper_penalty,
+            random_block_position=random_block_pos,  # Pass the random_block_position flag
+            max_episode_steps=10000,  # Set to very high number to avoid interference with our TimeLimitWrapper
         )
         env = GymHilObservationProcessorWrapper(env=env)
         env = GymHilDeviceWrapper(env=env, device=cfg.device)
+
+        # Add TimeLimitWrapper for HIL environments to control episode length
+        if cfg.wrapper and hasattr(cfg.wrapper, "control_time_s"):
+            env = TimeLimitWrapper(env=env, control_time_s=cfg.wrapper.control_time_s, fps=cfg.fps)
+            logging.info(f"Added TimeLimitWrapper with {cfg.wrapper.control_time_s}s limit")
+
         env = BatchCompatibleWrapper(env=env)
         env = TorchActionWrapper(env=env, device=cfg.device)
         return env
@@ -2083,7 +2128,8 @@ def record_dataset(env, policy, cfg):
         success_steps_collected = 0
 
         # Run episode steps
-        while time.perf_counter() - start_episode_t < cfg.wrapper.control_time_s:
+        episode_time_limit = cfg.wrapper.control_time_s if cfg.wrapper else 30.0  # Default fallback
+        while time.perf_counter() - start_episode_t < episode_time_limit:
             start_loop_t = time.perf_counter()
 
             # Get action from policy if available
@@ -2139,10 +2185,18 @@ def record_dataset(env, policy, cfg):
             # Check if we should end the episode
             if (terminated or truncated) and not success_detected:
                 # Regular termination without success
+                elapsed_time = time.perf_counter() - start_episode_t
+                logging.info(
+                    f"Episode {episode_index} ended after {elapsed_time:.2f}s (limit: {episode_time_limit}s)"
+                )
                 break
             elif success_detected and success_steps_collected >= cfg.number_of_steps_after_success:
                 # We've collected enough success states
-                logging.info(f"Collected {success_steps_collected} additional success states")
+                elapsed_time = time.perf_counter() - start_episode_t
+                logging.info(
+                    f"Episode {episode_index} completed with success after {elapsed_time:.2f}s - "
+                    f"collected {success_steps_collected} additional success states"
+                )
                 break
 
         # Handle episode recording
diff --git a/src/lerobot/scripts/rl/learner.py b/src/lerobot/scripts/rl/learner.py
index f9f3901ce7..59c65c2c81 100644
--- a/src/lerobot/scripts/rl/learner.py
+++ b/src/lerobot/scripts/rl/learner.py
@@ -319,6 +319,37 @@ def add_actor_information_and_train(
 
     assert isinstance(policy, nn.Module)
 
+    # Debug logging for policy configuration
+    logging.info("=" * 80)
+    logging.info("POLICY CONFIGURATION DEBUG INFO:")
+    logging.info("=" * 80)
+    logging.info(f"Policy type: {type(policy).__name__}")
+    logging.info(f"Input features: {cfg.policy.input_features}")
+    logging.info(f"Output features: {cfg.policy.output_features}")
+    logging.info(f"Action space shape: {cfg.policy.output_features['action'].shape}")
+    logging.info(f"num_discrete_actions: {cfg.policy.num_discrete_actions}")
+    logging.info(f"Action normalization: {cfg.policy.normalization_mapping.get('ACTION', 'Not set')}")
+    if "action" in cfg.policy.dataset_stats:
+        logging.info(f"Action stats - min: {cfg.policy.dataset_stats['action']['min']}")
+        logging.info(f"Action stats - max: {cfg.policy.dataset_stats['action']['max']}")
+    logging.info(
+        f"Environment use_gripper: {cfg.env.wrapper.use_gripper if cfg.env.wrapper else 'No wrapper'}"
+    )
+    logging.info(f"Environment random_block_position: {getattr(cfg.env, 'random_block_position', 'Not set')}")
+    logging.info("=" * 80)
+
+    # Debug logging for training configuration
+    logging.info("=" * 80)
+    logging.info("TRAINING CONFIGURATION DEBUG INFO:")
+    logging.info("=" * 80)
+    logging.info(f"save_checkpoint: {cfg.save_checkpoint}")
+    logging.info(f"save_freq: {cfg.save_freq}")
+    logging.info(f"policy.push_to_hub: {cfg.policy.push_to_hub}")
+    logging.info(f"policy.repo_id: {cfg.policy.repo_id}")
+    logging.info(f"output_dir: {cfg.output_dir}")
+    logging.info(f"online_steps: {cfg.policy.online_steps}")
+    logging.info("=" * 80)
+
     policy.train()
 
     push_actor_policy_to_queue(parameters_queue=parameters_queue, policy=policy)
@@ -594,8 +625,21 @@ def add_actor_information_and_train(
         if optimization_step % log_freq == 0:
             logging.info(f"[LEARNER] Number of optimization step: {optimization_step}")
 
+        # Debug logging for checkpoint saving
+        if optimization_step % 100 == 0:  # Log every 100 steps to avoid spam
+            logging.info(
+                f"[LEARNER] Checkpoint debug - optimization_step: {optimization_step}, save_freq: {save_freq}, saving_checkpoint: {saving_checkpoint}"
+            )
+            logging.info(
+                f"[LEARNER] Checkpoint condition: optimization_step % save_freq == 0: {optimization_step % save_freq == 0}"
+            )
+            logging.info(
+                f"[LEARNER] Checkpoint condition: optimization_step == online_steps: {optimization_step == online_steps}"
+            )
+
         # Save checkpoint at specified intervals
         if saving_checkpoint and (optimization_step % save_freq == 0 or optimization_step == online_steps):
+            logging.info(f"[LEARNER] SAVING CHECKPOINT at optimization step {optimization_step}")
             save_training_checkpoint(
                 cfg=cfg,
                 optimization_step=optimization_step,
@@ -766,6 +810,19 @@ def save_training_checkpoint(
 
     logging.info("Resume training")
 
+    # Upload to Hugging Face if configured
+    if cfg.policy.push_to_hub and cfg.policy.repo_id:
+        try:
+            logging.info(f"Uploading policy to Hugging Face: {cfg.policy.repo_id}")
+            policy.push_model_to_hub(cfg)
+            logging.info(f"Successfully uploaded policy to {cfg.policy.repo_id}")
+        except Exception as e:
+            logging.error(f"Failed to upload policy to Hugging Face: {e}")
+    else:
+        logging.info(
+            f"Policy upload to Hugging Face disabled - push_to_hub: {cfg.policy.push_to_hub}, repo_id: {cfg.policy.repo_id}"
+        )
+
 
 def make_optimizers_and_scheduler(cfg: TrainRLServerPipelineConfig, policy: nn.Module):
     """

From 6a0af008e7aa42f50805c6a6a23d5597161e49ca Mon Sep 17 00:00:00 2001
From: spirosperos <gicko3@gmail.com>
Date: Thu, 7 Aug 2025 16:48:38 +0200
Subject: [PATCH 2/9] trained model

---
 .../0002000/pretrained_model/config.json      |    185 +
 .../pretrained_model/model.safetensors        |      3 +
 .../pretrained_model/train_config.json        |    402 +
 .../actor/optimizer_param_groups.json         |     32 +
 .../actor/optimizer_state.safetensors         |      3 +
 .../critic/optimizer_param_groups.json        |     90 +
 .../critic/optimizer_state.safetensors        |      3 +
 .../optimizer_param_groups.json               |     80 +
 .../optimizer_state.safetensors               |      3 +
 .../training_state/rng_state.safetensors      |      3 +
 .../temperature/optimizer_param_groups.json   |     21 +
 .../temperature/optimizer_state.safetensors   |      3 +
 .../0002000/training_state/training_state.pt  |    Bin 0 -> 1303 bytes
 .../0002000/training_state/training_step.json |      3 +
 .../13-45-02_default/checkpoints/last         |      1 +
 .../13-45-02_default/logs/learner_default.log | 362385 +++++++++++++++
 .../13-45-02_default/train_config.json        |    296 +
 17 files changed, 363513 insertions(+)
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/pretrained_model/config.json
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/pretrained_model/model.safetensors
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/pretrained_model/train_config.json
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/training_state/actor/optimizer_param_groups.json
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/training_state/actor/optimizer_state.safetensors
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/training_state/critic/optimizer_param_groups.json
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/training_state/critic/optimizer_state.safetensors
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/training_state/discrete_critic/optimizer_param_groups.json
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/training_state/discrete_critic/optimizer_state.safetensors
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/training_state/rng_state.safetensors
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/training_state/temperature/optimizer_param_groups.json
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/training_state/temperature/optimizer_state.safetensors
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/training_state/training_state.pt
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/training_state/training_step.json
 create mode 120000 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/last
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/logs/learner_default.log
 create mode 100644 examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/train_config.json

diff --git a/examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/pretrained_model/config.json b/examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/pretrained_model/config.json
new file mode 100644
index 0000000000..b1806c8fd9
--- /dev/null
+++ b/examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/pretrained_model/config.json
@@ -0,0 +1,185 @@
+{
+    "type": "sac",
+    "n_obs_steps": 1,
+    "normalization_mapping": {
+        "VISUAL": "MEAN_STD",
+        "STATE": "MIN_MAX",
+        "ENV": "MIN_MAX",
+        "ACTION": "MIN_MAX"
+    },
+    "input_features": {
+        "observation.images.front": {
+            "type": "VISUAL",
+            "shape": [
+                3,
+                128,
+                128
+            ]
+        },
+        "observation.images.wrist": {
+            "type": "VISUAL",
+            "shape": [
+                3,
+                128,
+                128
+            ]
+        },
+        "observation.state": {
+            "type": "STATE",
+            "shape": [
+                18
+            ]
+        }
+    },
+    "output_features": {
+        "action": {
+            "type": "ACTION",
+            "shape": [
+                3
+            ]
+        }
+    },
+    "device": "cuda",
+    "use_amp": false,
+    "push_to_hub": true,
+    "repo_id": "spirosperos/panda-pick-gamepad-policy",
+    "private": null,
+    "tags": null,
+    "license": null,
+    "dataset_stats": {
+        "observation.images.front": {
+            "mean": [
+                0.485,
+                0.456,
+                0.406
+            ],
+            "std": [
+                0.229,
+                0.224,
+                0.225
+            ]
+        },
+        "observation.images.wrist": {
+            "mean": [
+                0.485,
+                0.456,
+                0.406
+            ],
+            "std": [
+                0.229,
+                0.224,
+                0.225
+            ]
+        },
+        "observation.state": {
+            "min": [
+                -0.6897139549255371,
+                -1.1421763896942139,
+                -0.5745007991790771,
+                -2.97829008102417,
+                -0.2710767090320587,
+                1.3246592283248901,
+                -0.04057434946298599,
+                -0.21261805295944214,
+                -0.4548068344593048,
+                -0.6540042757987976,
+                -0.3644964098930359,
+                -1.1057522296905518,
+                -0.40768879652023315,
+                -0.2220114767551422,
+                0.0,
+                0.19176171720027924,
+                -0.3013063669204712,
+                0.00362197193317115
+            ],
+            "max": [
+                0.5107022523880005,
+                0.5516204237937927,
+                0.5620884299278259,
+                -1.3330878019332886,
+                0.32758936285972595,
+                3.119610548019409,
+                1.8364211320877075,
+                0.25358933210372925,
+                0.36316126585006714,
+                0.14765967428684235,
+                0.49947625398635864,
+                0.144814133644104,
+                0.2820609211921692,
+                0.7382049560546875,
+                255.0,
+                0.6012658476829529,
+                0.3005995750427246,
+                0.5004003643989563
+            ]
+        }
+    },
+    "storage_device": "cpu",
+    "vision_encoder_name": "helper2424/resnet10",
+    "freeze_vision_encoder": true,
+    "image_encoder_hidden_dim": 32,
+    "shared_encoder": true,
+    "num_discrete_actions": 3,
+    "image_embedding_pooling_dim": 8,
+    "online_steps": 1000000,
+    "online_env_seed": 10000,
+    "online_buffer_capacity": 100000,
+    "offline_buffer_capacity": 100000,
+    "async_prefetch": false,
+    "online_step_before_learning": 100,
+    "policy_update_freq": 1,
+    "discount": 0.97,
+    "temperature_init": 0.01,
+    "num_critics": 2,
+    "num_subsample_critics": null,
+    "critic_lr": 0.0003,
+    "actor_lr": 0.0003,
+    "temperature_lr": 0.0003,
+    "critic_target_update_weight": 0.005,
+    "utd_ratio": 2,
+    "state_encoder_hidden_dim": 256,
+    "latent_dim": 64,
+    "target_entropy": null,
+    "use_backup_entropy": true,
+    "grad_clip_norm": 10.0,
+    "critic_network_kwargs": {
+        "hidden_dims": [
+            256,
+            256
+        ],
+        "activate_final": true,
+        "final_activation": null
+    },
+    "actor_network_kwargs": {
+        "hidden_dims": [
+            256,
+            256
+        ],
+        "activate_final": true
+    },
+    "policy_kwargs": {
+        "use_tanh_squash": true,
+        "std_min": 1e-05,
+        "std_max": 5.0,
+        "init_final": 0.05
+    },
+    "discrete_critic_network_kwargs": {
+        "hidden_dims": [
+            256,
+            256
+        ],
+        "activate_final": true,
+        "final_activation": null
+    },
+    "actor_learner_config": {
+        "learner_host": "127.0.0.1",
+        "learner_port": 50051,
+        "policy_parameters_push_frequency": 1,
+        "queue_get_timeout": 2.0
+    },
+    "concurrency": {
+        "actor": "threads",
+        "learner": "threads"
+    },
+    "use_torch_compile": true
+}
\ No newline at end of file
diff --git a/examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/pretrained_model/model.safetensors b/examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/pretrained_model/model.safetensors
new file mode 100644
index 0000000000..93e1dd0c7f
--- /dev/null
+++ b/examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/pretrained_model/model.safetensors
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a122fcb6fd8ec8d483352e47d007f445505dfebe360724c7835d23700970841
+size 25603220
diff --git a/examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/pretrained_model/train_config.json b/examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/pretrained_model/train_config.json
new file mode 100644
index 0000000000..8463c4e8c5
--- /dev/null
+++ b/examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/checkpoints/0002000/pretrained_model/train_config.json
@@ -0,0 +1,402 @@
+{
+    "dataset": {
+        "repo_id": "spirosperos/panda-pick-gamepad",
+        "root": null,
+        "episodes": null,
+        "image_transforms": {
+            "enable": false,
+            "max_num_transforms": 3,
+            "random_order": false,
+            "tfs": {
+                "brightness": {
+                    "weight": 1.0,
+                    "type": "ColorJitter",
+                    "kwargs": {
+                        "brightness": [
+                            0.8,
+                            1.2
+                        ]
+                    }
+                },
+                "contrast": {
+                    "weight": 1.0,
+                    "type": "ColorJitter",
+                    "kwargs": {
+                        "contrast": [
+                            0.8,
+                            1.2
+                        ]
+                    }
+                },
+                "saturation": {
+                    "weight": 1.0,
+                    "type": "ColorJitter",
+                    "kwargs": {
+                        "saturation": [
+                            0.5,
+                            1.5
+                        ]
+                    }
+                },
+                "hue": {
+                    "weight": 1.0,
+                    "type": "ColorJitter",
+                    "kwargs": {
+                        "hue": [
+                            -0.05,
+                            0.05
+                        ]
+                    }
+                },
+                "sharpness": {
+                    "weight": 1.0,
+                    "type": "SharpnessJitter",
+                    "kwargs": {
+                        "sharpness": [
+                            0.5,
+                            1.5
+                        ]
+                    }
+                }
+            }
+        },
+        "revision": null,
+        "use_imagenet_stats": false,
+        "video_backend": "pyav"
+    },
+    "env": {
+        "type": "hil",
+        "task": "PandaPickCubeGamepad-v0",
+        "fps": 10,
+        "features": {
+            "observation.images.front": {
+                "type": "VISUAL",
+                "shape": [
+                    3,
+                    128,
+                    128
+                ]
+            },
+            "observation.images.wrist": {
+                "type": "VISUAL",
+                "shape": [
+                    3,
+                    128,
+                    128
+                ]
+            },
+            "observation.state": {
+                "type": "STATE",
+                "shape": [
+                    18
+                ]
+            },
+            "action": {
+                "type": "ACTION",
+                "shape": [
+                    3
+                ]
+            }
+        },
+        "features_map": {
+            "observation.images.front": "observation.images.front",
+            "observation.images.wrist": "observation.images.wrist",
+            "observation.state": "observation.state",
+            "action": "action"
+        },
+        "name": "franka_sim",
+        "use_viewer": true,
+        "gripper_penalty": 0.0,
+        "use_gamepad": true,
+        "state_dim": 18,
+        "action_dim": 4,
+        "episode_length": 100,
+        "random_block_position": true,
+        "video_record": {
+            "enabled": false,
+            "record_dir": "videos",
+            "trajectory_name": "trajectory"
+        },
+        "reward_classifier_pretrained_path": null,
+        "robot_config": null,
+        "teleop_config": null,
+        "wrapper": {
+            "control_mode": "gamepad",
+            "display_cameras": false,
+            "add_joint_velocity_to_observation": true,
+            "add_current_to_observation": false,
+            "add_ee_pose_to_observation": true,
+            "crop_params_dict": {
+                "observation.images.front": [
+                    0,
+                    0,
+                    128,
+                    128
+                ],
+                "observation.images.wrist": [
+                    0,
+                    0,
+                    128,
+                    128
+                ]
+            },
+            "resize_size": [
+                128,
+                128
+            ],
+            "control_time_s": 30.0,
+            "fixed_reset_joint_positions": [
+                0.0,
+                0.195,
+                0.0,
+                -2.43,
+                0.0,
+                2.62,
+                0.785
+            ],
+            "reset_time_s": 2.0,
+            "use_gripper": true,
+            "gripper_quantization_threshold": 0.8,
+            "gripper_penalty": -0.02,
+            "gripper_penalty_in_reward": false
+        },
+        "mode": null,
+        "repo_id": "spirosperos/panda-pick-gamepad",
+        "dataset_root": null,
+        "num_episodes": 30,
+        "episode": 0,
+        "device": "cuda",
+        "push_to_hub": true,
+        "pretrained_policy_name_or_path": null,
+        "number_of_steps_after_success": 0
+    },
+    "policy": {
+        "type": "sac",
+        "n_obs_steps": 1,
+        "normalization_mapping": {
+            "VISUAL": "MEAN_STD",
+            "STATE": "MIN_MAX",
+            "ENV": "MIN_MAX",
+            "ACTION": "MIN_MAX"
+        },
+        "input_features": {
+            "observation.images.front": {
+                "type": "VISUAL",
+                "shape": [
+                    3,
+                    128,
+                    128
+                ]
+            },
+            "observation.images.wrist": {
+                "type": "VISUAL",
+                "shape": [
+                    3,
+                    128,
+                    128
+                ]
+            },
+            "observation.state": {
+                "type": "STATE",
+                "shape": [
+                    18
+                ]
+            }
+        },
+        "output_features": {
+            "action": {
+                "type": "ACTION",
+                "shape": [
+                    3
+                ]
+            }
+        },
+        "device": "cuda",
+        "use_amp": false,
+        "push_to_hub": true,
+        "repo_id": "spirosperos/panda-pick-gamepad-policy",
+        "private": null,
+        "tags": null,
+        "license": null,
+        "dataset_stats": {
+            "observation.images.front": {
+                "mean": [
+                    0.485,
+                    0.456,
+                    0.406
+                ],
+                "std": [
+                    0.229,
+                    0.224,
+                    0.225
+                ]
+            },
+            "observation.images.wrist": {
+                "mean": [
+                    0.485,
+                    0.456,
+                    0.406
+                ],
+                "std": [
+                    0.229,
+                    0.224,
+                    0.225
+                ]
+            },
+            "observation.state": {
+                "min": [
+                    -0.6897139549255371,
+                    -1.1421763896942139,
+                    -0.5745007991790771,
+                    -2.97829008102417,
+                    -0.2710767090320587,
+                    1.3246592283248901,
+                    -0.04057434946298599,
+                    -0.21261805295944214,
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+INFO 2025-08-05 13:45:02 /learner.py:155 {'batch_size': 256,
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+                     'resize_size': [128, 128],
+                     'use_gripper': True}},
+ 'eval': {'batch_size': 50, 'n_episodes': 50, 'use_async_envs': False},
+ 'eval_freq': 20000,
+ 'job_name': 'default',
+ 'log_freq': 1,
+ 'num_workers': 4,
+ 'optimizer': {'grad_clip_norm': 10.0,
+               'lr': 0.001,
+               'optimizer_groups': {'actor': {'lr': 0.0003},
+                                    'critic': {'lr': 0.0003},
+                                    'temperature': {'lr': 0.0003}},
+               'type': 'multi_adam',
+               'weight_decay': 0.0},
+ 'output_dir': 'outputs/train/2025-08-05/13-45-02_default',
+ 'policy': {'actor_learner_config': {'learner_host': '127.0.0.1',
+                                     'learner_port': 50051,
+                                     'policy_parameters_push_frequency': 1,
+                                     'queue_get_timeout': 2.0},
+            'actor_lr': 0.0003,
+            'actor_network_kwargs': {'activate_final': True,
+                                     'hidden_dims': [256, 256]},
+            'async_prefetch': False,
+            'concurrency': {'actor': 'threads', 'learner': 'threads'},
+            'critic_lr': 0.0003,
+            'critic_network_kwargs': {'activate_final': True,
+                                      'final_activation': None,
+                                      'hidden_dims': [256, 256]},
+            'critic_target_update_weight': 0.005,
+            'dataset_stats': {'observation.images.front': {'mean': [0.485,
+                                                                    0.456,
+                                                                    0.406],
+                                                           'std': [0.229,
+                                                                   0.224,
+                                                                   0.225]},
+                              'observation.images.wrist': {'mean': [0.485,
+                                                                    0.456,
+                                                                    0.406],
+                                                           'std': [0.229,
+                                                                   0.224,
+                                                                   0.225]},
+                              'observation.state': {'max': [0.5107022523880005,
+                                                            0.5516204237937927,
+                                                            0.5620884299278259,
+                                                            -1.3330878019332886,
+                                                            0.32758936285972595,
+                                                            3.119610548019409,
+                                                            1.8364211320877075,
+                                                            0.25358933210372925,
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+                                                            0.14765967428684235,
+                                                            0.49947625398635864,
+                                                            0.144814133644104,
+                                                            0.2820609211921692,
+                                                            0.7382049560546875,
+                                                            255.0,
+                                                            0.6012658476829529,
+                                                            0.3005995750427246,
+                                                            0.5004003643989563],
+                                                    'min': [-0.6897139549255371,
+                                                            -1.1421763896942139,
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+                                                            -2.97829008102417,
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+                                                            -0.40768879652023315,
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+                                                            0.0,
+                                                            0.19176171720027924,
+                                                            -0.3013063669204712,
+                                                            0.00362197193317115]}},
+            'device': 'cuda',
+            'discount': 0.97,
+            'discrete_critic_network_kwargs': {'activate_final': True,
+                                               'final_activation': None,
+                                               'hidden_dims': [256, 256]},
+            'freeze_vision_encoder': True,
+            'grad_clip_norm': 10.0,
+            'image_embedding_pooling_dim': 8,
+            'image_encoder_hidden_dim': 32,
+            'input_features': {'observation.images.front': {'shape': [3,
+                                                                      128,
+                                                                      128],
+                                                            'type': <FeatureType.VISUAL: 'VISUAL'>},
+                               'observation.images.wrist': {'shape': [3,
+                                                                      128,
+                                                                      128],
+                                                            'type': <FeatureType.VISUAL: 'VISUAL'>},
+                               'observation.state': {'shape': [18],
+                                                     'type': <FeatureType.STATE: 'STATE'>}},
+            'latent_dim': 64,
+            'license': None,
+            'n_obs_steps': 1,
+            'normalization_mapping': {'ACTION': <NormalizationMode.MIN_MAX: 'MIN_MAX'>,
+                                      'ENV': <NormalizationMode.MIN_MAX: 'MIN_MAX'>,
+                                      'STATE': <NormalizationMode.MIN_MAX: 'MIN_MAX'>,
+                                      'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>},
+            'num_critics': 2,
+            'num_discrete_actions': 3,
+            'num_subsample_critics': None,
+            'offline_buffer_capacity': 100000,
+            'online_buffer_capacity': 100000,
+            'online_env_seed': 10000,
+            'online_step_before_learning': 100,
+            'online_steps': 1000000,
+            'output_features': {'action': {'shape': [3],
+                                           'type': <FeatureType.ACTION: 'ACTION'>}},
+            'policy_kwargs': {'init_final': 0.05,
+                              'std_max': 5.0,
+                              'std_min': 1e-05,
+                              'use_tanh_squash': True},
+            'policy_update_freq': 1,
+            'private': None,
+            'push_to_hub': True,
+            'repo_id': 'spirosperos/panda-pick-gamepad-policy',
+            'shared_encoder': True,
+            'state_encoder_hidden_dim': 256,
+            'storage_device': 'cpu',
+            'tags': None,
+            'target_entropy': None,
+            'temperature_init': 0.01,
+            'temperature_lr': 0.0003,
+            'type': 'sac',
+            'use_amp': False,
+            'use_backup_entropy': True,
+            'use_torch_compile': True,
+            'utd_ratio': 2,
+            'vision_encoder_name': 'helper2424/resnet10'},
+ 'resume': False,
+ 'save_checkpoint': True,
+ 'save_freq': 2000,
+ 'scheduler': None,
+ 'seed': 1000,
+ 'steps': 100000,
+ 'use_policy_training_preset': True,
+ 'wandb': {'disable_artifact': True,
+           'enable': True,
+           'entity': None,
+           'mode': None,
+           'notes': None,
+           'project': 'franka_sim',
+           'run_id': None}}
+DEBUG 2025-08-05 13:45:02 git/cmd.py:1270 Popen(['git', 'version'], cwd=/home/nikola/lerobot, stdin=None, shell=False, universal_newlines=False)
+DEBUG 2025-08-05 13:45:02 git/cmd.py:1270 Popen(['git', 'version'], cwd=/home/nikola/lerobot, stdin=None, shell=False, universal_newlines=False)
+DEBUG 2025-08-05 13:45:02 git/util.py:494 sys.platform='linux', git_executable='git'
+DEBUG 2025-08-05 13:45:02 git/cmd.py:1270 Popen(['git', 'rev-parse', '--show-toplevel'], cwd=/home/nikola/lerobot, stdin=None, shell=False, universal_newlines=False)
+DEBUG 2025-08-05 13:45:02 git/util.py:494 sys.platform='linux', git_executable='git'
+DEBUG 2025-08-05 13:45:02 git/cmd.py:1270 Popen(['git', 'cat-file', '--batch-check'], cwd=/home/nikola/lerobot, stdin=<valid stream>, shell=False, universal_newlines=False)
+INFO 2025-08-05 13:45:03 db_utils.py:103 Track this run --> https://wandb.ai/spes-robotics/franka_sim/runs/vcej2ove
+INFO 2025-08-05 13:45:03 /learner.py:313 Initializing policy
+WARNING 2025-08-05 13:45:03 /factory.py:153 You are instantiating a policy from scratch and its features are parsed from an environment rather than a dataset. Normalization modules inside the policy will have infinite values by default without stats from a dataset.
+INFO 2025-08-05 13:45:03 /learner.py:692 [LEARNER] gRPC server started
+DEBUG 2025-08-05 13:45:03 ionpool.py:1049 Starting new HTTPS connection (1): huggingface.co:443
+DEBUG 2025-08-05 13:45:04 tionpool.py:544 https://huggingface.co:443 "HEAD /helper2424/resnet10/resolve/main/config.json HTTP/1.1" 307 0
+DEBUG 2025-08-05 13:45:04 tionpool.py:544 https://huggingface.co:443 "HEAD /api/resolve-cache/models/helper2424/resnet10/e16ff8c2c9fe2130c0e3eabfd142f131e59be97f/config.json HTTP/1.1" 200 0
+DEBUG 2025-08-05 13:45:04 tionpool.py:544 https://huggingface.co:443 "HEAD /helper2424/resnet10/resolve/main/configuration_resnet.py HTTP/1.1" 307 0
+DEBUG 2025-08-05 13:45:04 tionpool.py:544 https://huggingface.co:443 "HEAD /api/resolve-cache/models/helper2424/resnet10/e16ff8c2c9fe2130c0e3eabfd142f131e59be97f/configuration_resnet.py HTTP/1.1" 200 0
+DEBUG 2025-08-05 13:45:04 tionpool.py:544 https://huggingface.co:443 "HEAD /helper2424/resnet10/resolve/main/modeling_resnet.py HTTP/1.1" 307 0
+DEBUG 2025-08-05 13:45:04 tionpool.py:544 https://huggingface.co:443 "HEAD /api/resolve-cache/models/helper2424/resnet10/e16ff8c2c9fe2130c0e3eabfd142f131e59be97f/modeling_resnet.py HTTP/1.1" 200 0
+INFO 2025-08-05 13:45:05 /learner.py:323 ================================================================================
+INFO 2025-08-05 13:45:05 /learner.py:324 POLICY CONFIGURATION DEBUG INFO:
+INFO 2025-08-05 13:45:05 /learner.py:325 ================================================================================
+INFO 2025-08-05 13:45:05 /learner.py:326 Policy type: SACPolicy
+INFO 2025-08-05 13:45:05 /learner.py:327 Input features: {'observation.images.front': PolicyFeature(type=<FeatureType.VISUAL: 'VISUAL'>, shape=(3, 128, 128)), 'observation.images.wrist': PolicyFeature(type=<FeatureType.VISUAL: 'VISUAL'>, shape=(3, 128, 128)), 'observation.state': PolicyFeature(type=<FeatureType.STATE: 'STATE'>, shape=(18,))}
+INFO 2025-08-05 13:45:05 /learner.py:328 Output features: {'action': PolicyFeature(type=<FeatureType.ACTION: 'ACTION'>, shape=(3,))}
+INFO 2025-08-05 13:45:05 /learner.py:329 Action space shape: (3,)
+INFO 2025-08-05 13:45:05 /learner.py:330 num_discrete_actions: 3
+INFO 2025-08-05 13:45:05 /learner.py:331 Action normalization: NormalizationMode.MIN_MAX
+INFO 2025-08-05 13:45:05 /learner.py:335 Environment use_gripper: True
+INFO 2025-08-05 13:45:05 /learner.py:336 Environment random_block_position: True
+INFO 2025-08-05 13:45:05 /learner.py:337 ================================================================================
+DEBUG 2025-08-05 13:45:05 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:45:05 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:45:05 /learner.py:953 Output dir: outputs/train/2025-08-05/13-45-02_default
+INFO 2025-08-05 13:45:05 /learner.py:954 cfg.env.task='PandaPickCubeGamepad-v0'
+INFO 2025-08-05 13:45:05 /learner.py:955 cfg.policy.online_steps=1000000
+INFO 2025-08-05 13:45:05 /learner.py:956 num_learnable_params=1477841 (1M)
+INFO 2025-08-05 13:45:05 /learner.py:957 num_total_params=6383633 (6M)
+INFO 2025-08-05 13:45:05 learner.py:1020 make_dataset offline buffer
+DEBUG 2025-08-05 13:45:05 ionpool.py:1049 Starting new HTTPS connection (1): s3.amazonaws.com:443
+DEBUG 2025-08-05 13:45:06 tionpool.py:544 https://s3.amazonaws.com:443 "HEAD /datasets.huggingface.co/datasets/datasets/parquet/parquet.py HTTP/1.1" 404 0
+DEBUG 2025-08-05 13:45:06 ock/_api.py:331 Attempting to acquire lock 133628112567136 on /home/nikola/.cache/huggingface/datasets/_home_nikola_.cache_huggingface_datasets_parquet_default-e897e272ce81b44d_0.0.0_9c460aabd2aa27d1496e5e38d2060760561f0ac2cd6a110134eefa5b3f153b8d.lock
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+DEBUG 2025-08-05 13:45:06 ns/local.py:357 open file: /home/nikola/.cache/huggingface/datasets/parquet/default-e897e272ce81b44d/0.0.0/9c460aabd2aa27d1496e5e38d2060760561f0ac2cd6a110134eefa5b3f153b8d/dataset_info.json
+DEBUG 2025-08-05 13:45:06 ock/_api.py:364 Attempting to release lock 133628112567136 on /home/nikola/.cache/huggingface/datasets/_home_nikola_.cache_huggingface_datasets_parquet_default-e897e272ce81b44d_0.0.0_9c460aabd2aa27d1496e5e38d2060760561f0ac2cd6a110134eefa5b3f153b8d.lock
+DEBUG 2025-08-05 13:45:06 ock/_api.py:367 Lock 133628112567136 released on /home/nikola/.cache/huggingface/datasets/_home_nikola_.cache_huggingface_datasets_parquet_default-e897e272ce81b44d_0.0.0_9c460aabd2aa27d1496e5e38d2060760561f0ac2cd6a110134eefa5b3f153b8d.lock
+DEBUG 2025-08-05 13:45:06 ock/_api.py:331 Attempting to acquire lock 133628111066832 on /home/nikola/.cache/huggingface/datasets/parquet/default-e897e272ce81b44d/0.0.0/9c460aabd2aa27d1496e5e38d2060760561f0ac2cd6a110134eefa5b3f153b8d_builder.lock
+DEBUG 2025-08-05 13:45:06 ock/_api.py:334 Lock 133628111066832 acquired on /home/nikola/.cache/huggingface/datasets/parquet/default-e897e272ce81b44d/0.0.0/9c460aabd2aa27d1496e5e38d2060760561f0ac2cd6a110134eefa5b3f153b8d_builder.lock
+DEBUG 2025-08-05 13:45:06 ns/local.py:357 open file: /home/nikola/.cache/huggingface/datasets/parquet/default-e897e272ce81b44d/0.0.0/9c460aabd2aa27d1496e5e38d2060760561f0ac2cd6a110134eefa5b3f153b8d/dataset_info.json
+DEBUG 2025-08-05 13:45:06 ock/_api.py:364 Attempting to release lock 133628111066832 on /home/nikola/.cache/huggingface/datasets/parquet/default-e897e272ce81b44d/0.0.0/9c460aabd2aa27d1496e5e38d2060760561f0ac2cd6a110134eefa5b3f153b8d_builder.lock
+DEBUG 2025-08-05 13:45:06 ock/_api.py:367 Lock 133628111066832 released on /home/nikola/.cache/huggingface/datasets/parquet/default-e897e272ce81b44d/0.0.0/9c460aabd2aa27d1496e5e38d2060760561f0ac2cd6a110134eefa5b3f153b8d_builder.lock
+INFO 2025-08-05 13:45:06 learner.py:1030 Convert to a offline replay buffer
+INFO 2025-08-05 13:45:25 /learner.py:364 Starting learner thread
+INFO 2025-08-05 13:45:30 r_service.py:90 [LEARNER] Received request to receive transitions from the Actor
+INFO 2025-08-05 13:45:30 ort/utils.py:74 [LEARNER] transitions Starting receiver
+INFO 2025-08-05 13:45:30 _service.py:104 [LEARNER] Received request to receive interactions from the Actor
+INFO 2025-08-05 13:45:30 ort/utils.py:74 [LEARNER] interactions Starting receiver
+INFO 2025-08-05 13:45:30 r_service.py:55 [LEARNER] Received request to stream parameters from the Actor
+INFO 2025-08-05 13:45:30 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:45:30 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:45:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:45:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:45:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:45:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:45:30 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:45:30 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:45:31 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:45:33 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:45:35 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:45:37 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:45:39 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:45:41 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:45:43 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:45:45 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:45:47 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:45:49 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:45:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:45:53 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:45:55 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:45:57 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:45:59 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:46:01 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 13:46:03 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:46:04 ort/utils.py:76 [LEARNER] interactions Received item
+DEBUG 2025-08-05 13:46:04 ort/utils.py:93 [LEARNER] interactions Received data at step end size 192
+DEBUG 2025-08-05 13:46:04 rt/utils.py:104 [LEARNER] interactions Queue updated
+DEBUG 2025-08-05 13:46:04 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 13:46:04 ort/utils.py:85 [LEARNER] transitions Received data at step 0
+DEBUG 2025-08-05 13:46:04 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 13:46:04 ort/utils.py:90 [LEARNER] transitions Received data at step 1
+DEBUG 2025-08-05 13:46:04 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 13:46:04 ort/utils.py:90 [LEARNER] transitions Received data at step 2
+DEBUG 2025-08-05 13:46:04 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 13:46:04 ort/utils.py:90 [LEARNER] transitions Received data at step 3
+DEBUG 2025-08-05 13:46:04 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 13:46:04 ort/utils.py:90 [LEARNER] transitions Received data at step 4
+DEBUG 2025-08-05 13:46:04 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 13:46:04 ort/utils.py:90 [LEARNER] transitions Received data at step 5
+DEBUG 2025-08-05 13:46:04 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 13:46:04 ort/utils.py:90 [LEARNER] transitions Received data at step 6
+DEBUG 2025-08-05 13:46:04 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 13:46:04 ort/utils.py:90 [LEARNER] transitions Received data at step 7
+DEBUG 2025-08-05 13:46:04 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 13:46:04 ort/utils.py:90 [LEARNER] transitions Received data at step 8
+DEBUG 2025-08-05 13:46:04 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 13:46:04 ort/utils.py:90 [LEARNER] transitions Received data at step 9
+DEBUG 2025-08-05 13:46:04 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 13:46:04 ort/utils.py:90 [LEARNER] transitions Received data at step 10
+DEBUG 2025-08-05 13:46:04 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 13:46:04 ort/utils.py:90 [LEARNER] transitions Received data at step 11
+DEBUG 2025-08-05 13:46:04 ort/utils.py:76 [LEARNER] transitions Received item
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+INFO 2025-08-05 13:46:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6986240397646767
+INFO 2025-08-05 13:46:17 /learner.py:612 [LEARNER] Number of optimization step: 4
+DEBUG 2025-08-05 13:46:17 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:46:17 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:46:17 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:46:18 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.2472753869406434
+INFO 2025-08-05 13:46:18 /learner.py:612 [LEARNER] Number of optimization step: 5
+INFO 2025-08-05 13:46:18 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:46:18 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:46:18 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:19 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.2632764663295064
+INFO 2025-08-05 13:46:19 /learner.py:612 [LEARNER] Number of optimization step: 6
+DEBUG 2025-08-05 13:46:19 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:46:19 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:46:19 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:46:19 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.547119922063455
+INFO 2025-08-05 13:46:19 /learner.py:612 [LEARNER] Number of optimization step: 7
+INFO 2025-08-05 13:46:20 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:46:20 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:46:20 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:20 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.4677356006270392
+INFO 2025-08-05 13:46:20 /learner.py:612 [LEARNER] Number of optimization step: 8
+DEBUG 2025-08-05 13:46:20 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:46:20 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:46:20 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:46:21 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.4891071201620334
+INFO 2025-08-05 13:46:21 /learner.py:612 [LEARNER] Number of optimization step: 9
+INFO 2025-08-05 13:46:21 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:46:21 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:46:21 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:21 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.4232105608653682
+INFO 2025-08-05 13:46:21 /learner.py:612 [LEARNER] Number of optimization step: 10
+DEBUG 2025-08-05 13:46:21 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:46:21 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:46:21 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:46:22 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.6610381302331785
+INFO 2025-08-05 13:46:22 /learner.py:612 [LEARNER] Number of optimization step: 11
+INFO 2025-08-05 13:46:22 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:46:24 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:46:24 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:24 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5648770266229487
+INFO 2025-08-05 13:46:24 /learner.py:612 [LEARNER] Number of optimization step: 12
+DEBUG 2025-08-05 13:46:24 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:46:24 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:46:24 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:46:25 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.0834173464542398
+INFO 2025-08-05 13:46:25 /learner.py:612 [LEARNER] Number of optimization step: 13
+INFO 2025-08-05 13:46:25 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:46:25 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:46:25 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:25 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.0668346064622933
+INFO 2025-08-05 13:46:25 /learner.py:612 [LEARNER] Number of optimization step: 14
+DEBUG 2025-08-05 13:46:26 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:46:26 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:46:26 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:46:26 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.0806379876411893
+INFO 2025-08-05 13:46:26 /learner.py:612 [LEARNER] Number of optimization step: 15
+INFO 2025-08-05 13:46:27 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:46:27 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:46:27 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:27 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.0435772638120702
+INFO 2025-08-05 13:46:27 /learner.py:612 [LEARNER] Number of optimization step: 16
+DEBUG 2025-08-05 13:46:27 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:46:27 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:46:27 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:46:28 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.0820014584192927
+INFO 2025-08-05 13:46:28 /learner.py:612 [LEARNER] Number of optimization step: 17
+INFO 2025-08-05 13:46:28 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:46:29 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:46:29 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:29 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.991115343580172
+INFO 2025-08-05 13:46:29 /learner.py:612 [LEARNER] Number of optimization step: 18
+DEBUG 2025-08-05 13:46:29 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:46:29 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:46:29 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:46:30 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.0305210131389724
+INFO 2025-08-05 13:46:30 /learner.py:612 [LEARNER] Number of optimization step: 19
+INFO 2025-08-05 13:46:30 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:46:31 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:46:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:31 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.0300834262108294
+INFO 2025-08-05 13:46:31 /learner.py:612 [LEARNER] Number of optimization step: 20
+DEBUG 2025-08-05 13:46:31 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:46:31 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:46:31 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:46:32 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.0235462001483073
+INFO 2025-08-05 13:46:32 /learner.py:612 [LEARNER] Number of optimization step: 21
+INFO 2025-08-05 13:46:32 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:46:33 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:46:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:33 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 2.2197851350216093
+INFO 2025-08-05 13:46:33 /learner.py:612 [LEARNER] Number of optimization step: 22
+DEBUG 2025-08-05 13:46:33 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:46:33 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:46:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:46:33 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.3270812512367531
+INFO 2025-08-05 13:46:33 /learner.py:612 [LEARNER] Number of optimization step: 23
+INFO 2025-08-05 13:46:34 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:46:35 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:46:35 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.8518205677675704
+INFO 2025-08-05 13:46:35 /learner.py:612 [LEARNER] Number of optimization step: 24
+DEBUG 2025-08-05 13:46:35 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:46:35 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:46:35 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:46:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.702082482466432
+INFO 2025-08-05 13:46:35 /learner.py:612 [LEARNER] Number of optimization step: 25
+INFO 2025-08-05 13:46:36 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:46:36 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:46:36 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:36 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.8567950621634612
+INFO 2025-08-05 13:46:36 /learner.py:612 [LEARNER] Number of optimization step: 26
+DEBUG 2025-08-05 13:46:36 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:46:36 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:46:36 r_service.py:83 [LEARNER] Parameters sent
+DEBUG 2025-08-05 13:46:37 ort/utils.py:76 [LEARNER] interactions Received item
+DEBUG 2025-08-05 13:46:37 ort/utils.py:93 [LEARNER] interactions Received data at step end size 192
+DEBUG 2025-08-05 13:46:37 rt/utils.py:104 [LEARNER] interactions Queue updated
+DEBUG 2025-08-05 13:46:37 ort/utils.py:76 [LEARNER] transitions Received item
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+INFO 2025-08-05 13:46:39 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:46:40 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:46:40 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:40 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.9179961024434009
+INFO 2025-08-05 13:46:40 /learner.py:612 [LEARNER] Number of optimization step: 28
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+DEBUG 2025-08-05 13:46:41 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:46:41 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:41 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 13:46:41 /learner.py:612 [LEARNER] Number of optimization step: 29
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+INFO 2025-08-05 13:46:41 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:46:42 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 13:46:43 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 13:46:43 /learner.py:612 [LEARNER] Number of optimization step: 30
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+DEBUG 2025-08-05 13:46:43 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:46:43 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:46:44 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 13:46:44 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:44 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.628184634160673
+INFO 2025-08-05 13:46:44 /learner.py:612 [LEARNER] Number of optimization step: 31
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+INFO 2025-08-05 13:46:45 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 13:46:46 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:46 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6194508225666142
+INFO 2025-08-05 13:46:46 /learner.py:612 [LEARNER] Number of optimization step: 32
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+INFO 2025-08-05 13:46:47 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 1.123272797394285
+INFO 2025-08-05 13:46:47 /learner.py:612 [LEARNER] Number of optimization step: 33
+INFO 2025-08-05 13:46:47 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 13:46:48 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:48 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7875321325490723
+INFO 2025-08-05 13:46:48 /learner.py:612 [LEARNER] Number of optimization step: 34
+DEBUG 2025-08-05 13:46:48 ort/utils.py:76 [LEARNER] interactions Received item
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+DEBUG 2025-08-05 13:46:58 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:46:58 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5451889777009058
+INFO 2025-08-05 13:46:58 /learner.py:612 [LEARNER] Number of optimization step: 40
+DEBUG 2025-08-05 13:46:58 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:46:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:46:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:46:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:46:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:46:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:46:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:46:58 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:46:58 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:46:59 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:47:00 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:47:00 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:47:00 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5600793077914628
+INFO 2025-08-05 13:47:00 /learner.py:612 [LEARNER] Number of optimization step: 41
+DEBUG 2025-08-05 13:47:00 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:47:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:47:00 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:47:00 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:47:01 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:47:01 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:47:01 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:47:01 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5827419728812324
+INFO 2025-08-05 13:47:01 /learner.py:612 [LEARNER] Number of optimization step: 42
+DEBUG 2025-08-05 13:47:02 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:47:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:47:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:47:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:47:02 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:47:02 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:47:03 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:47:03 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:47:03 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:47:03 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5562859131090757
+INFO 2025-08-05 13:47:03 /learner.py:612 [LEARNER] Number of optimization step: 43
+DEBUG 2025-08-05 13:47:03 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:47:03 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:47:03 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:47:04 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:47:05 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:47:05 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:47:05 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5788345454404201
+INFO 2025-08-05 13:47:05 /learner.py:612 [LEARNER] Number of optimization step: 44
+DEBUG 2025-08-05 13:47:05 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:47:05 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:47:05 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:47:06 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:47:06 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:47:06 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:47:06 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7070632244760267
+INFO 2025-08-05 13:47:06 /learner.py:612 [LEARNER] Number of optimization step: 45
+DEBUG 2025-08-05 13:47:06 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:47:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:47:07 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:47:07 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:47:08 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:47:08 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:47:08 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:47:08 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7365426512122248
+INFO 2025-08-05 13:47:08 /learner.py:612 [LEARNER] Number of optimization step: 46
+DEBUG 2025-08-05 13:47:08 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:47:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:47:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:47:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+INFO 2025-08-05 13:47:15 /learner.py:612 [LEARNER] Number of optimization step: 50
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+INFO 2025-08-05 13:47:33 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 13:47:42 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 13:47:43 /learner.py:612 [LEARNER] Number of optimization step: 65
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+INFO 2025-08-05 13:47:43 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:47:44 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:47:44 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:47:44 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:47:45 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5414349047528391
+INFO 2025-08-05 13:47:45 /learner.py:612 [LEARNER] Number of optimization step: 66
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+INFO 2025-08-05 13:47:45 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:47:46 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:47:46 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:47:46 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:47:46 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5396138422579768
+INFO 2025-08-05 13:47:46 /learner.py:612 [LEARNER] Number of optimization step: 67
+DEBUG 2025-08-05 13:47:46 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+DEBUG 2025-08-05 13:47:47 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:47:47 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:47:48 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:47:48 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:47:48 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:47:48 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5230091769120954
+INFO 2025-08-05 13:47:48 /learner.py:612 [LEARNER] Number of optimization step: 68
+DEBUG 2025-08-05 13:47:48 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:47:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:47:48 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:47:48 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:47:49 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:47:50 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:47:50 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:47:50 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5370661459970576
+INFO 2025-08-05 13:47:50 /learner.py:612 [LEARNER] Number of optimization step: 69
+DEBUG 2025-08-05 13:47:50 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+DEBUG 2025-08-05 13:47:50 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:47:50 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:47:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:47:52 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:47:52 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:47:52 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6460837511685933
+INFO 2025-08-05 13:47:52 /learner.py:612 [LEARNER] Number of optimization step: 70
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+DEBUG 2025-08-05 13:47:52 ort/utils.py:76 [LEARNER] interactions Received item
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+DEBUG 2025-08-05 13:48:47 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:48:47 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:48:48 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:48:48 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:48:48 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:48:48 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5709643340056088
+INFO 2025-08-05 13:48:48 /learner.py:612 [LEARNER] Number of optimization step: 101
+DEBUG 2025-08-05 13:48:48 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:48:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 13:48:48 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:48:49 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 13:48:50 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 13:48:50 /learner.py:612 [LEARNER] Number of optimization step: 102
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+INFO 2025-08-05 13:48:50 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:48:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:48:52 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:48:52 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 13:48:52 /learner.py:612 [LEARNER] Number of optimization step: 103
+DEBUG 2025-08-05 13:48:52 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:48:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:48:52 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:48:52 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:48:53 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:48:54 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:48:54 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:48:54 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5352902211013149
+INFO 2025-08-05 13:48:54 /learner.py:612 [LEARNER] Number of optimization step: 104
+DEBUG 2025-08-05 13:48:54 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:48:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:48:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:48:54 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:48:54 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:48:55 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:48:55 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:48:55 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:48:56 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5509627945383623
+INFO 2025-08-05 13:48:56 /learner.py:612 [LEARNER] Number of optimization step: 105
+DEBUG 2025-08-05 13:48:56 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:48:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:48:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:48:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:48:56 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:48:56 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:48:57 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:48:57 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:48:57 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:48:57 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5535436828572753
+INFO 2025-08-05 13:48:57 /learner.py:612 [LEARNER] Number of optimization step: 106
+DEBUG 2025-08-05 13:48:57 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:48:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:48:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:48:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:48:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:48:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:48:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:48:58 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:48:58 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:48:59 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:48:59 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:48:59 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:48:59 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6216617556466202
+INFO 2025-08-05 13:48:59 /learner.py:612 [LEARNER] Number of optimization step: 107
+DEBUG 2025-08-05 13:48:59 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:48:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 13:49:16 /learner.py:612 [LEARNER] Number of optimization step: 116
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+DEBUG 2025-08-05 13:49:24 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:49:24 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:49:25 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5755387940586328
+INFO 2025-08-05 13:49:25 /learner.py:612 [LEARNER] Number of optimization step: 121
+DEBUG 2025-08-05 13:49:25 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:49:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:49:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:25 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:49:25 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:49:26 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:49:26 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:49:26 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:49:26 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5942995301218632
+INFO 2025-08-05 13:49:26 /learner.py:612 [LEARNER] Number of optimization step: 122
+DEBUG 2025-08-05 13:49:26 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:49:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:49:26 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:49:26 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:49:27 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:49:28 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:49:28 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:49:28 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6374742646135382
+INFO 2025-08-05 13:49:28 /learner.py:612 [LEARNER] Number of optimization step: 123
+DEBUG 2025-08-05 13:49:28 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:49:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:49:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:49:28 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:49:28 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:49:29 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:49:29 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:49:29 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:49:29 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6064709545407163
+INFO 2025-08-05 13:49:29 /learner.py:612 [LEARNER] Number of optimization step: 124
+DEBUG 2025-08-05 13:49:30 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:49:30 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:49:30 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:49:31 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:49:31 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:49:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:49:31 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5512365779137518
+INFO 2025-08-05 13:49:31 /learner.py:612 [LEARNER] Number of optimization step: 125
+DEBUG 2025-08-05 13:49:31 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:49:31 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:49:31 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:49:32 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:49:33 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:49:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:49:33 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5493964474801394
+INFO 2025-08-05 13:49:33 /learner.py:612 [LEARNER] Number of optimization step: 126
+DEBUG 2025-08-05 13:49:33 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:49:33 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:49:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:49:34 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:49:35 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:49:35 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:49:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5695821706828759
+INFO 2025-08-05 13:49:35 /learner.py:612 [LEARNER] Number of optimization step: 127
+DEBUG 2025-08-05 13:49:35 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:49:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:49:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+INFO 2025-08-05 13:49:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:49:52 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:49:52 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:49:52 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5459828322986986
+INFO 2025-08-05 13:49:52 /learner.py:612 [LEARNER] Number of optimization step: 137
+DEBUG 2025-08-05 13:49:52 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:49:52 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:49:52 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:49:53 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:49:53 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:49:53 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:49:53 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5911851850653808
+INFO 2025-08-05 13:49:53 /learner.py:612 [LEARNER] Number of optimization step: 138
+DEBUG 2025-08-05 13:49:53 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:49:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:49:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:49:53 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:49:53 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:49:54 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:49:55 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:49:55 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:49:55 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5914874842646853
+INFO 2025-08-05 13:49:55 /learner.py:612 [LEARNER] Number of optimization step: 139
+DEBUG 2025-08-05 13:49:55 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:49:55 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:49:55 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:49:56 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:49:57 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:49:57 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:49:57 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5369486446931228
+INFO 2025-08-05 13:49:57 /learner.py:612 [LEARNER] Number of optimization step: 140
+DEBUG 2025-08-05 13:49:57 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:49:57 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:49:57 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:49:58 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:49:58 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:49:58 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:49:59 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5932923496453165
+INFO 2025-08-05 13:49:59 /learner.py:612 [LEARNER] Number of optimization step: 141
+DEBUG 2025-08-05 13:49:59 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:49:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:49:59 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:49:59 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:50:00 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:50:00 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:50:00 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:50:00 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5916735526869175
+INFO 2025-08-05 13:50:00 /learner.py:612 [LEARNER] Number of optimization step: 142
+DEBUG 2025-08-05 13:50:00 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:50:00 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:50:00 r_service.py:83 [LEARNER] Parameters sent
+DEBUG 2025-08-05 13:50:01 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:50:01 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:50:01 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.9059715476000362
+INFO 2025-08-05 13:50:01 /learner.py:612 [LEARNER] Number of optimization step: 143
+INFO 2025-08-05 13:50:01 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:50:02 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:50:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:50:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:50:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:50:55 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:50:55 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:50:56 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:50:57 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:50:57 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:50:57 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5227346935839517
+INFO 2025-08-05 13:50:57 /learner.py:612 [LEARNER] Number of optimization step: 173
+DEBUG 2025-08-05 13:50:57 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:50:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:50:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:50:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:50:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:50:57 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:50:57 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:50:58 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:50:59 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:50:59 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:50:59 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5181640135635305
+INFO 2025-08-05 13:50:59 /learner.py:612 [LEARNER] Number of optimization step: 174
+DEBUG 2025-08-05 13:50:59 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:50:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:50:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:50:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:50:59 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:50:59 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:51:00 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:51:01 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:51:01 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:51:01 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5109753046328498
+INFO 2025-08-05 13:51:01 /learner.py:612 [LEARNER] Number of optimization step: 175
+DEBUG 2025-08-05 13:51:01 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:51:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:51:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:51:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:51:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:51:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:51:01 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:51:01 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:51:02 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:51:02 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:51:02 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:51:03 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5336703242736774
+INFO 2025-08-05 13:51:03 /learner.py:612 [LEARNER] Number of optimization step: 176
+DEBUG 2025-08-05 13:51:03 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:51:03 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:51:03 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:51:04 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:51:04 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:51:04 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:51:04 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5294950540842567
+INFO 2025-08-05 13:51:04 /learner.py:612 [LEARNER] Number of optimization step: 177
+DEBUG 2025-08-05 13:51:05 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:51:05 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:51:05 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:51:06 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:51:06 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:51:06 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:51:06 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5309312101218879
+INFO 2025-08-05 13:51:06 /learner.py:612 [LEARNER] Number of optimization step: 178
+DEBUG 2025-08-05 13:51:06 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:51:06 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:51:06 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:51:07 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:51:08 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:51:08 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:51:08 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5345724383973931
+INFO 2025-08-05 13:51:08 /learner.py:612 [LEARNER] Number of optimization step: 179
+DEBUG 2025-08-05 13:51:08 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:51:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:51:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:51:08 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:51:08 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:51:09 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:51:10 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:51:10 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:51:10 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5335817940129179
+INFO 2025-08-05 13:51:10 /learner.py:612 [LEARNER] Number of optimization step: 180
+DEBUG 2025-08-05 13:51:10 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:51:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:51:10 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:51:10 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:51:11 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:51:12 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:51:12 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:51:12 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5447752961809457
+INFO 2025-08-05 13:51:12 /learner.py:612 [LEARNER] Number of optimization step: 181
+DEBUG 2025-08-05 13:51:12 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:51:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:51:12 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:51:12 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:51:13 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:51:14 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:51:14 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:51:14 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5560562583238639
+INFO 2025-08-05 13:51:14 /learner.py:612 [LEARNER] Number of optimization step: 182
+DEBUG 2025-08-05 13:51:14 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:51:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:51:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:51:14 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:51:14 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:51:15 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:51:15 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:51:15 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:51:16 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.537082100987078
+INFO 2025-08-05 13:51:16 /learner.py:612 [LEARNER] Number of optimization step: 183
+DEBUG 2025-08-05 13:51:16 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:51:16 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:51:16 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:51:17 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:51:17 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:51:17 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:51:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5282379651371095
+INFO 2025-08-05 13:51:17 /learner.py:612 [LEARNER] Number of optimization step: 184
+DEBUG 2025-08-05 13:51:18 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:51:18 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:51:18 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:51:19 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:51:19 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:51:19 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:51:19 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5131760072059156
+INFO 2025-08-05 13:51:19 /learner.py:612 [LEARNER] Number of optimization step: 185
+DEBUG 2025-08-05 13:51:20 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:51:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:51:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:51:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+INFO 2025-08-05 13:51:43 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 13:51:52 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:51:53 learner.py:1127 [LEARNER] Pushing actor policy to the queue
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+DEBUG 2025-08-05 13:52:00 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 13:52:00 /learner.py:612 [LEARNER] Number of optimization step: 207
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+INFO 2025-08-05 13:52:01 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 13:52:02 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 13:52:02 /learner.py:612 [LEARNER] Number of optimization step: 208
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+INFO 2025-08-05 13:52:10 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:52:10 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:52:10 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:52:10 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6744212516973911
+INFO 2025-08-05 13:52:10 /learner.py:612 [LEARNER] Number of optimization step: 213
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+INFO 2025-08-05 13:52:10 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:52:11 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:52:12 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:52:12 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 13:52:12 /learner.py:612 [LEARNER] Number of optimization step: 214
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+INFO 2025-08-05 13:52:12 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:52:13 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:52:14 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:52:14 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:52:14 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5745480245131176
+INFO 2025-08-05 13:52:14 /learner.py:612 [LEARNER] Number of optimization step: 215
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+INFO 2025-08-05 13:52:14 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:52:15 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:52:15 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:52:15 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:52:16 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5680873959045505
+INFO 2025-08-05 13:52:16 /learner.py:612 [LEARNER] Number of optimization step: 216
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+DEBUG 2025-08-05 13:52:16 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:52:16 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:52:17 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:52:17 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:52:17 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:52:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5250972402090149
+INFO 2025-08-05 13:52:17 /learner.py:612 [LEARNER] Number of optimization step: 217
+DEBUG 2025-08-05 13:52:18 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+DEBUG 2025-08-05 13:52:18 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:52:18 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:52:19 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:52:19 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:52:19 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:52:19 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5303176450565481
+INFO 2025-08-05 13:52:19 /learner.py:612 [LEARNER] Number of optimization step: 218
+DEBUG 2025-08-05 13:52:19 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:52:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:52:20 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:52:20 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:52:21 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:52:21 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:52:21 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:52:21 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5277296546322084
+INFO 2025-08-05 13:52:21 /learner.py:612 [LEARNER] Number of optimization step: 219
+DEBUG 2025-08-05 13:52:21 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:52:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 13:52:48 /learner.py:612 [LEARNER] Number of optimization step: 234
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+DEBUG 2025-08-05 13:53:05 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:53:05 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:53:06 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:53:06 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:53:06 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:53:06 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5528011368480867
+INFO 2025-08-05 13:53:06 /learner.py:612 [LEARNER] Number of optimization step: 244
+DEBUG 2025-08-05 13:53:07 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:53:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 13:53:07 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:53:08 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:53:08 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:53:08 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 13:53:08 /learner.py:612 [LEARNER] Number of optimization step: 245
+DEBUG 2025-08-05 13:53:08 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+INFO 2025-08-05 13:53:09 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:53:10 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:53:10 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:53:10 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:53:10 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5200851268069577
+INFO 2025-08-05 13:53:10 /learner.py:612 [LEARNER] Number of optimization step: 246
+DEBUG 2025-08-05 13:53:10 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+DEBUG 2025-08-05 13:53:10 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:53:10 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:53:11 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:53:12 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:53:12 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:53:12 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5225569644616299
+INFO 2025-08-05 13:53:12 /learner.py:612 [LEARNER] Number of optimization step: 247
+DEBUG 2025-08-05 13:53:12 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:53:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:53:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:53:12 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:53:12 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:53:13 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:53:14 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:53:14 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:53:14 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5139450483616594
+INFO 2025-08-05 13:53:14 /learner.py:612 [LEARNER] Number of optimization step: 248
+DEBUG 2025-08-05 13:53:14 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:53:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:53:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:53:14 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:53:14 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:53:15 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:53:16 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:53:16 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:53:16 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5283012400933874
+INFO 2025-08-05 13:53:16 /learner.py:612 [LEARNER] Number of optimization step: 249
+DEBUG 2025-08-05 13:53:16 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:53:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:53:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:53:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:53:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:53:16 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:53:16 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:53:17 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:53:18 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:53:18 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:53:18 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5227608844921001
+INFO 2025-08-05 13:53:18 /learner.py:612 [LEARNER] Number of optimization step: 250
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+INFO 2025-08-05 13:53:24 /learner.py:612 [LEARNER] Number of optimization step: 253
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+INFO 2025-08-05 13:53:55 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:53:55 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:53:55 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:53:56 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5343528019204172
+INFO 2025-08-05 13:53:56 /learner.py:612 [LEARNER] Number of optimization step: 270
+DEBUG 2025-08-05 13:53:56 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:53:56 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:53:56 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:53:57 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:53:57 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:53:57 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:53:57 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5375178596069594
+INFO 2025-08-05 13:53:57 /learner.py:612 [LEARNER] Number of optimization step: 271
+DEBUG 2025-08-05 13:53:57 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:53:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:53:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:53:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:53:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:53:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:53:58 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:53:58 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:53:59 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:53:59 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:53:59 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:53:59 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5310195352374726
+INFO 2025-08-05 13:53:59 /learner.py:612 [LEARNER] Number of optimization step: 272
+DEBUG 2025-08-05 13:53:59 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:53:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:53:59 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:53:59 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:00 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:01 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:01 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:01 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5157691693025112
+INFO 2025-08-05 13:54:01 /learner.py:612 [LEARNER] Number of optimization step: 273
+DEBUG 2025-08-05 13:54:01 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:54:01 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:01 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:02 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:03 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:03 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:03 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5055345022635473
+INFO 2025-08-05 13:54:03 /learner.py:612 [LEARNER] Number of optimization step: 274
+DEBUG 2025-08-05 13:54:03 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:54:03 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:03 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:04 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:05 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:05 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:05 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5389578253971887
+INFO 2025-08-05 13:54:05 /learner.py:612 [LEARNER] Number of optimization step: 275
+DEBUG 2025-08-05 13:54:05 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:54:05 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:05 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:06 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:07 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:07 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:07 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.63328200769121
+INFO 2025-08-05 13:54:07 /learner.py:612 [LEARNER] Number of optimization step: 276
+DEBUG 2025-08-05 13:54:07 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:54:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:54:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:13 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:13 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:14 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:15 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:15 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:15 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5575414440554892
+INFO 2025-08-05 13:54:15 /learner.py:612 [LEARNER] Number of optimization step: 280
+DEBUG 2025-08-05 13:54:15 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:54:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:15 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:15 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:16 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:16 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:17 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5375892341453351
+INFO 2025-08-05 13:54:17 /learner.py:612 [LEARNER] Number of optimization step: 281
+DEBUG 2025-08-05 13:54:17 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:54:17 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:17 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:18 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:18 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:18 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:18 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5407224474222333
+INFO 2025-08-05 13:54:18 /learner.py:612 [LEARNER] Number of optimization step: 282
+DEBUG 2025-08-05 13:54:19 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:54:19 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:19 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:20 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:20 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:20 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:20 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5543696197959324
+INFO 2025-08-05 13:54:20 /learner.py:612 [LEARNER] Number of optimization step: 283
+DEBUG 2025-08-05 13:54:20 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:54:20 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:20 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:21 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:22 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:22 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:22 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5236928228322852
+INFO 2025-08-05 13:54:22 /learner.py:612 [LEARNER] Number of optimization step: 284
+DEBUG 2025-08-05 13:54:22 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:54:22 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:22 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:23 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:24 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:24 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:24 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5238542484076679
+INFO 2025-08-05 13:54:24 /learner.py:612 [LEARNER] Number of optimization step: 285
+DEBUG 2025-08-05 13:54:24 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:54:24 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:24 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:25 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:26 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:26 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:26 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5836349161418959
+INFO 2025-08-05 13:54:26 /learner.py:612 [LEARNER] Number of optimization step: 286
+DEBUG 2025-08-05 13:54:26 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:54:26 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:26 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:27 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:28 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:28 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:28 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5333701601358842
+INFO 2025-08-05 13:54:28 /learner.py:612 [LEARNER] Number of optimization step: 287
+DEBUG 2025-08-05 13:54:28 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:54:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:28 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:28 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:29 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:29 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:29 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:30 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5215879345846683
+INFO 2025-08-05 13:54:30 /learner.py:612 [LEARNER] Number of optimization step: 288
+DEBUG 2025-08-05 13:54:30 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:54:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:30 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:30 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:31 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:31 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:31 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5291413503304775
+INFO 2025-08-05 13:54:31 /learner.py:612 [LEARNER] Number of optimization step: 289
+DEBUG 2025-08-05 13:54:32 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:54:32 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:32 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:33 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:33 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:33 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5403902790568771
+INFO 2025-08-05 13:54:33 /learner.py:612 [LEARNER] Number of optimization step: 290
+DEBUG 2025-08-05 13:54:33 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:54:33 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:34 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:35 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:35 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6318147325308096
+INFO 2025-08-05 13:54:35 /learner.py:612 [LEARNER] Number of optimization step: 291
+DEBUG 2025-08-05 13:54:35 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:41 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:41 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:42 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:42 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:42 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:42 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5406980503707584
+INFO 2025-08-05 13:54:42 /learner.py:612 [LEARNER] Number of optimization step: 295
+DEBUG 2025-08-05 13:54:43 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:54:43 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:43 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:44 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:44 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:44 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:44 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5388048158182975
+INFO 2025-08-05 13:54:44 /learner.py:612 [LEARNER] Number of optimization step: 296
+DEBUG 2025-08-05 13:54:44 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:54:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:45 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:45 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:46 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:46 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:46 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:46 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5420124154655193
+INFO 2025-08-05 13:54:46 /learner.py:612 [LEARNER] Number of optimization step: 297
+DEBUG 2025-08-05 13:54:46 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:54:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:46 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:46 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:47 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:48 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:48 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:48 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.544708296695069
+INFO 2025-08-05 13:54:48 /learner.py:612 [LEARNER] Number of optimization step: 298
+DEBUG 2025-08-05 13:54:48 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:54:48 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:48 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:49 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:50 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:50 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:50 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5382227895734181
+INFO 2025-08-05 13:54:50 /learner.py:612 [LEARNER] Number of optimization step: 299
+DEBUG 2025-08-05 13:54:50 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:54:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:54:50 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:50 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:54:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:51 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:54:51 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:54:51 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.642566106788904
+INFO 2025-08-05 13:54:51 /learner.py:612 [LEARNER] Number of optimization step: 300
+DEBUG 2025-08-05 13:54:52 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:54:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:54:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:54:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:54:52 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:54:52 r_service.py:83 [LEARNER] Parameters sent
+DEBUG 2025-08-05 13:54:52 ort/utils.py:76 [LEARNER] interactions Received item
+DEBUG 2025-08-05 13:54:52 ort/utils.py:93 [LEARNER] interactions Received data at step end size 192
+DEBUG 2025-08-05 13:54:52 rt/utils.py:104 [LEARNER] interactions Queue updated
+INFO 2025-08-05 13:54:53 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:54:53 ort/utils.py:76 [LEARNER] transitions Received item
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+DEBUG 2025-08-05 13:55:10 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:55:10 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:55:11 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:55:11 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:55:11 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:55:11 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.555765442861403
+INFO 2025-08-05 13:55:11 /learner.py:612 [LEARNER] Number of optimization step: 311
+DEBUG 2025-08-05 13:55:12 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:55:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 13:55:12 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:55:13 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:55:13 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:55:13 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:55:13 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5578753005857534
+INFO 2025-08-05 13:55:13 /learner.py:612 [LEARNER] Number of optimization step: 312
+DEBUG 2025-08-05 13:55:13 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+DEBUG 2025-08-05 13:55:13 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:55:13 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:55:14 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:55:15 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:55:15 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:55:15 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5777583028934867
+INFO 2025-08-05 13:55:15 /learner.py:612 [LEARNER] Number of optimization step: 313
+DEBUG 2025-08-05 13:55:15 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:55:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:55:15 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:55:15 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:55:16 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:55:17 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:55:17 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:55:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5754681201675722
+INFO 2025-08-05 13:55:17 /learner.py:612 [LEARNER] Number of optimization step: 314
+DEBUG 2025-08-05 13:55:17 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:55:17 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:55:17 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:55:18 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:55:18 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:55:18 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:55:18 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5751613835492452
+INFO 2025-08-05 13:55:18 /learner.py:612 [LEARNER] Number of optimization step: 315
+DEBUG 2025-08-05 13:55:19 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:55:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:55:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:55:19 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:55:19 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:55:20 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:55:20 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:55:20 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:55:20 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5562972753975559
+INFO 2025-08-05 13:55:20 /learner.py:612 [LEARNER] Number of optimization step: 316
+DEBUG 2025-08-05 13:55:20 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:20 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:55:20 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:55:21 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:55:22 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:55:22 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:55:22 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.546572156461491
+INFO 2025-08-05 13:55:22 /learner.py:612 [LEARNER] Number of optimization step: 317
+DEBUG 2025-08-05 13:55:22 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:55:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 13:55:22 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:55:23 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:55:24 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:55:24 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:55:24 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5174359830817502
+INFO 2025-08-05 13:55:24 /learner.py:612 [LEARNER] Number of optimization step: 318
+DEBUG 2025-08-05 13:55:24 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:55:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:55:24 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:55:24 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:55:25 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:55:26 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:55:26 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:55:26 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5305451161858585
+INFO 2025-08-05 13:55:26 /learner.py:612 [LEARNER] Number of optimization step: 319
+DEBUG 2025-08-05 13:55:26 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:55:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:55:26 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:55:26 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:55:27 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:55:28 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:55:28 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:55:28 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5327267916454554
+INFO 2025-08-05 13:55:28 /learner.py:612 [LEARNER] Number of optimization step: 320
+DEBUG 2025-08-05 13:55:28 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:55:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:55:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:55:28 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:55:28 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:55:29 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:55:29 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:55:29 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:55:30 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5684867810129951
+INFO 2025-08-05 13:55:30 /learner.py:612 [LEARNER] Number of optimization step: 321
+DEBUG 2025-08-05 13:55:30 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:55:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:55:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:30 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:55:30 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:55:31 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:55:31 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:55:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:55:32 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5080167318298738
+INFO 2025-08-05 13:55:32 /learner.py:612 [LEARNER] Number of optimization step: 322
+DEBUG 2025-08-05 13:55:32 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:55:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:55:32 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:55:32 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:55:33 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:55:33 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:55:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 13:56:35 /learner.py:612 [LEARNER] Number of optimization step: 356
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+INFO 2025-08-05 13:56:36 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 13:56:41 /learner.py:612 [LEARNER] Number of optimization step: 359
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+INFO 2025-08-05 13:56:42 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 13:56:42 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 13:56:42 /learner.py:612 [LEARNER] Number of optimization step: 360
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+INFO 2025-08-05 13:56:43 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 13:56:44 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:56:44 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5613515892292977
+INFO 2025-08-05 13:56:44 /learner.py:612 [LEARNER] Number of optimization step: 361
+DEBUG 2025-08-05 13:56:44 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+INFO 2025-08-05 13:56:45 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:56:46 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:56:46 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 13:56:46 /learner.py:612 [LEARNER] Number of optimization step: 362
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+INFO 2025-08-05 13:56:47 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 13:56:48 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 13:56:48 /learner.py:612 [LEARNER] Number of optimization step: 363
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+INFO 2025-08-05 13:56:50 /learner.py:612 [LEARNER] Number of optimization step: 364
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+INFO 2025-08-05 13:56:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:56:52 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:56:52 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:56:52 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6031228683143908
+INFO 2025-08-05 13:56:52 /learner.py:612 [LEARNER] Number of optimization step: 365
+DEBUG 2025-08-05 13:56:52 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:56:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:56:52 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:56:52 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:56:53 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:56:54 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:56:54 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:56:54 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5210876746370572
+INFO 2025-08-05 13:56:54 /learner.py:612 [LEARNER] Number of optimization step: 366
+DEBUG 2025-08-05 13:56:54 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+INFO 2025-08-05 13:57:14 /learner.py:612 [LEARNER] Number of optimization step: 377
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+INFO 2025-08-05 13:57:16 /learner.py:612 [LEARNER] Number of optimization step: 378
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+INFO 2025-08-05 13:57:18 /learner.py:612 [LEARNER] Number of optimization step: 379
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+INFO 2025-08-05 13:57:19 /learner.py:612 [LEARNER] Number of optimization step: 380
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+INFO 2025-08-05 13:57:21 /learner.py:612 [LEARNER] Number of optimization step: 381
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+DEBUG 2025-08-05 13:57:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:57:29 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:57:29 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:57:30 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:57:31 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:57:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:57:31 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5706845851368496
+INFO 2025-08-05 13:57:31 /learner.py:612 [LEARNER] Number of optimization step: 387
+DEBUG 2025-08-05 13:57:31 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:57:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 13:57:31 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:57:32 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:57:33 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:57:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:57:33 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5322897113429029
+INFO 2025-08-05 13:57:33 /learner.py:612 [LEARNER] Number of optimization step: 388
+DEBUG 2025-08-05 13:57:33 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:57:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:57:33 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:57:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:57:34 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:57:35 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:57:35 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:57:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5251431954184126
+INFO 2025-08-05 13:57:35 /learner.py:612 [LEARNER] Number of optimization step: 389
+DEBUG 2025-08-05 13:57:35 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:57:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:57:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:57:35 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:57:35 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:57:36 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:57:37 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:57:37 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:57:37 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5221572717093701
+INFO 2025-08-05 13:57:37 /learner.py:612 [LEARNER] Number of optimization step: 390
+DEBUG 2025-08-05 13:57:37 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:57:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:57:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:57:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:57:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:57:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:57:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:57:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:57:37 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:57:37 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:57:38 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:57:39 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:57:39 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:57:39 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5171411095942762
+INFO 2025-08-05 13:57:39 /learner.py:612 [LEARNER] Number of optimization step: 391
+DEBUG 2025-08-05 13:57:39 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:57:39 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:57:39 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:57:40 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:57:41 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:57:41 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:57:41 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5043935819768269
+INFO 2025-08-05 13:57:41 /learner.py:612 [LEARNER] Number of optimization step: 392
+DEBUG 2025-08-05 13:57:41 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:57:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:57:41 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:57:41 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:57:42 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:57:43 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:57:43 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:57:43 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5138734548887164
+INFO 2025-08-05 13:57:43 /learner.py:612 [LEARNER] Number of optimization step: 393
+DEBUG 2025-08-05 13:57:43 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:57:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 13:57:59 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:57:59 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:57:59 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:57:59 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6536363401166098
+INFO 2025-08-05 13:57:59 /learner.py:612 [LEARNER] Number of optimization step: 402
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+INFO 2025-08-05 13:58:00 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:58:01 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:58:01 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:58:02 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 13:58:02 /learner.py:612 [LEARNER] Number of optimization step: 403
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+INFO 2025-08-05 13:58:02 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:58:03 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:58:03 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:58:03 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:58:03 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5492450062392931
+INFO 2025-08-05 13:58:03 /learner.py:612 [LEARNER] Number of optimization step: 404
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+DEBUG 2025-08-05 13:58:04 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:58:04 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:58:05 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:58:05 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:58:05 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:58:05 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.539834351818523
+INFO 2025-08-05 13:58:05 /learner.py:612 [LEARNER] Number of optimization step: 405
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+DEBUG 2025-08-05 13:58:05 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:58:05 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:58:06 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:58:07 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:58:07 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 13:58:07 /learner.py:612 [LEARNER] Number of optimization step: 406
+DEBUG 2025-08-05 13:58:07 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:58:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:58:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:58:07 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:58:07 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:58:08 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:58:09 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:58:09 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:58:09 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5336255123415572
+INFO 2025-08-05 13:58:09 /learner.py:612 [LEARNER] Number of optimization step: 407
+DEBUG 2025-08-05 13:58:09 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:58:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:58:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:58:09 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:58:09 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:58:10 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:58:11 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:58:11 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:58:11 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5953380203937422
+INFO 2025-08-05 13:58:11 /learner.py:612 [LEARNER] Number of optimization step: 408
+DEBUG 2025-08-05 13:58:11 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:58:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 13:58:47 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 13:58:55 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 13:58:57 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 13:58:59 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 13:59:01 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 13:59:02 /learner.py:612 [LEARNER] Number of optimization step: 435
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+INFO 2025-08-05 13:59:03 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 13:59:04 /learner.py:612 [LEARNER] Number of optimization step: 436
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+INFO 2025-08-05 13:59:05 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 13:59:05 /learner.py:612 [LEARNER] Number of optimization step: 437
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+INFO 2025-08-05 13:59:15 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:59:16 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:59:17 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:59:17 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:59:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.529044373159519
+INFO 2025-08-05 13:59:17 /learner.py:612 [LEARNER] Number of optimization step: 443
+DEBUG 2025-08-05 13:59:17 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:59:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 13:59:17 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:59:18 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:59:19 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:59:19 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 13:59:19 /learner.py:612 [LEARNER] Number of optimization step: 444
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+DEBUG 2025-08-05 13:59:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:59:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:59:19 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:59:19 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:59:20 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:59:21 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:59:21 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:59:21 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.534271599173901
+INFO 2025-08-05 13:59:21 /learner.py:612 [LEARNER] Number of optimization step: 445
+DEBUG 2025-08-05 13:59:21 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:59:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:59:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:59:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:59:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:59:21 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:59:21 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:59:22 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:59:22 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:59:22 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:59:23 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5201968466025554
+INFO 2025-08-05 13:59:23 /learner.py:612 [LEARNER] Number of optimization step: 446
+DEBUG 2025-08-05 13:59:23 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:59:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:59:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:59:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:59:23 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:59:23 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:59:24 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:59:24 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:59:24 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:59:24 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5138159175157245
+INFO 2025-08-05 13:59:24 /learner.py:612 [LEARNER] Number of optimization step: 447
+DEBUG 2025-08-05 13:59:25 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:59:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:59:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:59:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:59:25 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:59:25 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:59:26 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:59:26 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:59:26 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:59:26 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6238712671408321
+INFO 2025-08-05 13:59:26 /learner.py:612 [LEARNER] Number of optimization step: 448
+DEBUG 2025-08-05 13:59:26 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:59:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:59:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:59:26 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:59:26 r_service.py:83 [LEARNER] Parameters sent
+DEBUG 2025-08-05 13:59:26 ort/utils.py:76 [LEARNER] interactions Received item
+DEBUG 2025-08-05 13:59:26 ort/utils.py:93 [LEARNER] interactions Received data at step end size 192
+DEBUG 2025-08-05 13:59:26 rt/utils.py:104 [LEARNER] interactions Queue updated
+DEBUG 2025-08-05 13:59:26 ort/utils.py:76 [LEARNER] transitions Received item
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+DEBUG 2025-08-05 13:59:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:59:36 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:59:36 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:59:37 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:59:37 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:59:37 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:59:37 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5259638520478308
+INFO 2025-08-05 13:59:37 /learner.py:612 [LEARNER] Number of optimization step: 454
+DEBUG 2025-08-05 13:59:38 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:59:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 13:59:38 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:59:39 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:59:39 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:59:39 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:59:39 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5518165404407231
+INFO 2025-08-05 13:59:39 /learner.py:612 [LEARNER] Number of optimization step: 455
+DEBUG 2025-08-05 13:59:39 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:59:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:59:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:59:39 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:59:39 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:59:40 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:59:41 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:59:41 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:59:41 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.55939500062667
+INFO 2025-08-05 13:59:41 /learner.py:612 [LEARNER] Number of optimization step: 456
+DEBUG 2025-08-05 13:59:41 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:59:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:59:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:59:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:59:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:59:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:59:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 13:59:41 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:59:41 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:59:42 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:59:43 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:59:43 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:59:43 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5315587937925024
+INFO 2025-08-05 13:59:43 /learner.py:612 [LEARNER] Number of optimization step: 457
+DEBUG 2025-08-05 13:59:43 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:59:43 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:59:43 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:59:44 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:59:45 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:59:45 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:59:45 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5399175324461797
+INFO 2025-08-05 13:59:45 /learner.py:612 [LEARNER] Number of optimization step: 458
+DEBUG 2025-08-05 13:59:45 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:59:45 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:59:45 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:59:46 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 13:59:47 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 13:59:47 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 13:59:47 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5332826786807093
+INFO 2025-08-05 13:59:47 /learner.py:612 [LEARNER] Number of optimization step: 459
+DEBUG 2025-08-05 13:59:47 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 13:59:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 13:59:47 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 13:59:47 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 13:59:48 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:00:03 ort/utils.py:76 [LEARNER] transitions Received item
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+DEBUG 2025-08-05 14:00:03 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 14:00:03 ort/utils.py:93 [LEARNER] transitions Received data at step end size 22117213
+DEBUG 2025-08-05 14:00:03 rt/utils.py:104 [LEARNER] transitions Queue updated
+DEBUG 2025-08-05 14:00:03 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:00:03 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5577379868847561
+INFO 2025-08-05 14:00:03 /learner.py:612 [LEARNER] Number of optimization step: 468
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+INFO 2025-08-05 14:00:03 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:00:04 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:00:05 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:00:05 /learner.py:612 [LEARNER] Number of optimization step: 469
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+INFO 2025-08-05 14:00:06 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:00:06 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:00:06 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:00:07 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5351810070390581
+INFO 2025-08-05 14:00:07 /learner.py:612 [LEARNER] Number of optimization step: 470
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+INFO 2025-08-05 14:00:08 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:00:08 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:00:08 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5511748605852339
+INFO 2025-08-05 14:00:08 /learner.py:612 [LEARNER] Number of optimization step: 471
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+DEBUG 2025-08-05 14:00:09 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:00:09 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:00:10 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:00:10 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:00:10 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:00:10 /learner.py:612 [LEARNER] Number of optimization step: 472
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+INFO 2025-08-05 14:00:11 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:00:12 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:00:12 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:00:12 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5285716767340481
+INFO 2025-08-05 14:00:12 /learner.py:612 [LEARNER] Number of optimization step: 473
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+DEBUG 2025-08-05 14:00:12 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:00:12 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:00:13 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:00:14 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:00:14 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:00:14 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5341032144927086
+INFO 2025-08-05 14:00:14 /learner.py:612 [LEARNER] Number of optimization step: 474
+DEBUG 2025-08-05 14:00:14 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:00:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:00:33 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:00:34 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:00:34 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:00:34 /learner.py:612 [LEARNER] Number of optimization step: 485
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+INFO 2025-08-05 14:00:35 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:00:36 /learner.py:612 [LEARNER] Number of optimization step: 486
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+INFO 2025-08-05 14:00:37 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:00:37 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:00:37 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:00:38 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5533373822731593
+INFO 2025-08-05 14:00:38 /learner.py:612 [LEARNER] Number of optimization step: 487
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+INFO 2025-08-05 14:00:39 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:00:39 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:00:39 /learner.py:612 [LEARNER] Number of optimization step: 488
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+INFO 2025-08-05 14:00:40 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:00:41 /learner.py:612 [LEARNER] Number of optimization step: 489
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+DEBUG 2025-08-05 14:00:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:00:50 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:00:50 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:00:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:00:52 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:00:52 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:00:52 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5395062573478471
+INFO 2025-08-05 14:00:52 /learner.py:612 [LEARNER] Number of optimization step: 495
+DEBUG 2025-08-05 14:00:52 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:00:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:00:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:00:52 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:00:52 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:00:53 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:00:54 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:00:54 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:00:54 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.530947676427055
+INFO 2025-08-05 14:00:54 /learner.py:612 [LEARNER] Number of optimization step: 496
+DEBUG 2025-08-05 14:00:54 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:00:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:00:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:00:54 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:00:54 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:00:55 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:00:56 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:00:56 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:00:56 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5296705783482978
+INFO 2025-08-05 14:00:56 /learner.py:612 [LEARNER] Number of optimization step: 497
+DEBUG 2025-08-05 14:00:56 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:00:56 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:00:56 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:00:57 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:00:58 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:00:58 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:00:58 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5332036309836719
+INFO 2025-08-05 14:00:58 /learner.py:612 [LEARNER] Number of optimization step: 498
+DEBUG 2025-08-05 14:00:58 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:00:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:00:58 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:00:58 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:00:59 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:00 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:00 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:01:00 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.522881644183622
+INFO 2025-08-05 14:01:00 /learner.py:612 [LEARNER] Number of optimization step: 499
+DEBUG 2025-08-05 14:01:00 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:01:00 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:01:00 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:01 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:01 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:01 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:01:01 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5509198075321429
+INFO 2025-08-05 14:01:01 /learner.py:612 [LEARNER] Number of optimization step: 500
+DEBUG 2025-08-05 14:01:02 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:01:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:01:02 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:01:02 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:03 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:03 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:03 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:01:03 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5311159601152894
+INFO 2025-08-05 14:01:03 /learner.py:612 [LEARNER] Number of optimization step: 501
+DEBUG 2025-08-05 14:01:03 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:01:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:01:04 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:05 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:05 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:05 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:01:05 /learner.py:612 [LEARNER] Number of optimization step: 502
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+INFO 2025-08-05 14:01:05 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:06 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:01:07 /learner.py:612 [LEARNER] Number of optimization step: 503
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+DEBUG 2025-08-05 14:01:07 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:01:07 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:08 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:09 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:09 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:01:09 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5157006175094344
+INFO 2025-08-05 14:01:09 /learner.py:612 [LEARNER] Number of optimization step: 504
+DEBUG 2025-08-05 14:01:09 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+DEBUG 2025-08-05 14:01:09 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:01:09 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:10 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:11 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:11 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:01:11 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.49397294203494885
+INFO 2025-08-05 14:01:11 /learner.py:612 [LEARNER] Number of optimization step: 505
+DEBUG 2025-08-05 14:01:11 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:01:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:01:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:01:11 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:01:11 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:12 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:12 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:12 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:01:12 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7066304555256344
+INFO 2025-08-05 14:01:12 /learner.py:612 [LEARNER] Number of optimization step: 506
+DEBUG 2025-08-05 14:01:13 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:01:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:01:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:01:13 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:01:13 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:14 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:14 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:14 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:01:14 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6874270763237416
+INFO 2025-08-05 14:01:14 /learner.py:612 [LEARNER] Number of optimization step: 507
+DEBUG 2025-08-05 14:01:14 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:01:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:01:26 ort/utils.py:76 [LEARNER] transitions Received item
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+DEBUG 2025-08-05 14:01:26 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 14:01:26 ort/utils.py:90 [LEARNER] transitions Received data at step 26
+DEBUG 2025-08-05 14:01:26 ort/utils.py:76 [LEARNER] transitions Received item
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+DEBUG 2025-08-05 14:01:26 rt/utils.py:104 [LEARNER] transitions Queue updated
+INFO 2025-08-05 14:01:27 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:27 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:27 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:01:27 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6450405600672404
+INFO 2025-08-05 14:01:27 /learner.py:612 [LEARNER] Number of optimization step: 514
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+INFO 2025-08-05 14:01:30 /learner.py:612 [LEARNER] Number of optimization step: 515
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+INFO 2025-08-05 14:01:32 /learner.py:612 [LEARNER] Number of optimization step: 516
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+INFO 2025-08-05 14:01:33 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:01:34 /learner.py:612 [LEARNER] Number of optimization step: 517
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+INFO 2025-08-05 14:01:35 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:01:36 /learner.py:612 [LEARNER] Number of optimization step: 518
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+INFO 2025-08-05 14:01:37 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:01:37 /learner.py:612 [LEARNER] Number of optimization step: 519
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+DEBUG 2025-08-05 14:01:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:01:47 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:01:47 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:48 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:49 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:49 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:01:49 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5203995741094152
+INFO 2025-08-05 14:01:49 /learner.py:612 [LEARNER] Number of optimization step: 525
+DEBUG 2025-08-05 14:01:49 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:01:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:01:49 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:01:49 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:50 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:50 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:50 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:01:51 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5335308209714327
+INFO 2025-08-05 14:01:51 /learner.py:612 [LEARNER] Number of optimization step: 526
+DEBUG 2025-08-05 14:01:51 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:01:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:01:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:01:51 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:01:51 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:52 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:52 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:52 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:01:52 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5308295449110171
+INFO 2025-08-05 14:01:52 /learner.py:612 [LEARNER] Number of optimization step: 527
+DEBUG 2025-08-05 14:01:53 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:01:53 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:01:53 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:54 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:54 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:54 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:01:54 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5380110475066802
+INFO 2025-08-05 14:01:54 /learner.py:612 [LEARNER] Number of optimization step: 528
+DEBUG 2025-08-05 14:01:54 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:01:54 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:01:54 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:55 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:56 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:56 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:01:56 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5296846253167543
+INFO 2025-08-05 14:01:56 /learner.py:612 [LEARNER] Number of optimization step: 529
+DEBUG 2025-08-05 14:01:56 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:01:56 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:01:56 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:57 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:01:58 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:01:58 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:01:58 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5311522798156862
+INFO 2025-08-05 14:01:58 /learner.py:612 [LEARNER] Number of optimization step: 530
+DEBUG 2025-08-05 14:01:58 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:01:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:01:58 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:01:58 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:01:59 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:00 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:00 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:00 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5297420249579705
+INFO 2025-08-05 14:02:00 /learner.py:612 [LEARNER] Number of optimization step: 531
+DEBUG 2025-08-05 14:02:00 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:02:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:00 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:02:00 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:01 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:02 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:02 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:02 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5386987986167121
+INFO 2025-08-05 14:02:02 /learner.py:612 [LEARNER] Number of optimization step: 532
+DEBUG 2025-08-05 14:02:02 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:02:02 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:02:02 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:03 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:04 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:04 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:04 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5486167524868673
+INFO 2025-08-05 14:02:04 /learner.py:612 [LEARNER] Number of optimization step: 533
+DEBUG 2025-08-05 14:02:04 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:02:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:02:04 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:02:04 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:05 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:05 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:05 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:05 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5461638414058836
+INFO 2025-08-05 14:02:05 /learner.py:612 [LEARNER] Number of optimization step: 534
+DEBUG 2025-08-05 14:02:06 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:02:06 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:02:06 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:07 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:07 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:07 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:07 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5058443458116114
+INFO 2025-08-05 14:02:07 /learner.py:612 [LEARNER] Number of optimization step: 535
+DEBUG 2025-08-05 14:02:08 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:02:08 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:02:08 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:09 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:09 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:09 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:09 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.565082887317095
+INFO 2025-08-05 14:02:09 /learner.py:612 [LEARNER] Number of optimization step: 536
+DEBUG 2025-08-05 14:02:09 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:02:09 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:02:09 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:10 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:10 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:10 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:11 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.728336089189028
+INFO 2025-08-05 14:02:11 /learner.py:612 [LEARNER] Number of optimization step: 537
+DEBUG 2025-08-05 14:02:11 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:02:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:02:14 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:15 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:17 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:17 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5692764981598638
+INFO 2025-08-05 14:02:17 /learner.py:612 [LEARNER] Number of optimization step: 540
+DEBUG 2025-08-05 14:02:17 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+INFO 2025-08-05 14:02:17 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:18 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:19 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:19 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:19 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5355898835442771
+INFO 2025-08-05 14:02:19 /learner.py:612 [LEARNER] Number of optimization step: 541
+DEBUG 2025-08-05 14:02:19 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:02:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:19 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:02:19 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:20 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:21 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:21 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:21 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5576265387676768
+INFO 2025-08-05 14:02:21 /learner.py:612 [LEARNER] Number of optimization step: 542
+DEBUG 2025-08-05 14:02:21 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:02:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:21 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:02:21 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:22 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:23 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:23 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:23 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5247456435192364
+INFO 2025-08-05 14:02:23 /learner.py:612 [LEARNER] Number of optimization step: 543
+DEBUG 2025-08-05 14:02:23 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:02:23 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:02:23 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:24 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:24 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:24 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:24 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7051651532172674
+INFO 2025-08-05 14:02:24 /learner.py:612 [LEARNER] Number of optimization step: 544
+DEBUG 2025-08-05 14:02:24 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:02:24 r_service.py:83 [LEARNER] Parameters sent
+DEBUG 2025-08-05 14:02:24 ort/utils.py:76 [LEARNER] interactions Received item
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+INFO 2025-08-05 14:02:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:34 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:35 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:35 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5589541249271308
+INFO 2025-08-05 14:02:35 /learner.py:612 [LEARNER] Number of optimization step: 550
+DEBUG 2025-08-05 14:02:35 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+INFO 2025-08-05 14:02:35 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:36 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:02:37 /learner.py:612 [LEARNER] Number of optimization step: 551
+DEBUG 2025-08-05 14:02:37 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+INFO 2025-08-05 14:02:37 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:38 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:39 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:39 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:39 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5298556567311772
+INFO 2025-08-05 14:02:39 /learner.py:612 [LEARNER] Number of optimization step: 552
+DEBUG 2025-08-05 14:02:39 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:02:39 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:02:39 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:40 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:40 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:40 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:41 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5014506220988316
+INFO 2025-08-05 14:02:41 /learner.py:612 [LEARNER] Number of optimization step: 553
+DEBUG 2025-08-05 14:02:41 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:02:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:41 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:02:41 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:42 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:42 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:42 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:42 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5428608294145405
+INFO 2025-08-05 14:02:42 /learner.py:612 [LEARNER] Number of optimization step: 554
+DEBUG 2025-08-05 14:02:43 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:02:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:02:43 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:02:43 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:02:44 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:02:44 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:02:44 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:02:44 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5426744897720723
+INFO 2025-08-05 14:02:44 /learner.py:612 [LEARNER] Number of optimization step: 555
+DEBUG 2025-08-05 14:02:44 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:02:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:02:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:02:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:02:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:03 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:03:03 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:03:04 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:03:04 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:03:04 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:03:04 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5521538954482856
+INFO 2025-08-05 14:03:04 /learner.py:612 [LEARNER] Number of optimization step: 566
+DEBUG 2025-08-05 14:03:04 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:03:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:03:04 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:03:04 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:03:05 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:03:06 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:03:06 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:03:06 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5400653333489738
+INFO 2025-08-05 14:03:06 /learner.py:612 [LEARNER] Number of optimization step: 567
+DEBUG 2025-08-05 14:03:06 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:03:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:03:06 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:03:06 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:03:07 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:03:08 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:03:08 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:03:08 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5404847048673914
+INFO 2025-08-05 14:03:08 /learner.py:612 [LEARNER] Number of optimization step: 568
+DEBUG 2025-08-05 14:03:08 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:03:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:03:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:08 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:03:08 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:03:09 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:03:10 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:03:10 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:03:10 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5477019857527851
+INFO 2025-08-05 14:03:10 /learner.py:612 [LEARNER] Number of optimization step: 569
+DEBUG 2025-08-05 14:03:10 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:03:10 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:03:10 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:03:11 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:03:11 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:03:12 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:03:12 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5280119359041174
+INFO 2025-08-05 14:03:12 /learner.py:612 [LEARNER] Number of optimization step: 570
+DEBUG 2025-08-05 14:03:12 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:03:12 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:03:12 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:03:13 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:03:13 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:03:13 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:03:13 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.529550741182073
+INFO 2025-08-05 14:03:13 /learner.py:612 [LEARNER] Number of optimization step: 571
+DEBUG 2025-08-05 14:03:14 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:03:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:03:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:03:20 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:03:20 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:03:21 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:03:21 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:03:21 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:03:21 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.513091007092344
+INFO 2025-08-05 14:03:21 /learner.py:612 [LEARNER] Number of optimization step: 575
+DEBUG 2025-08-05 14:03:22 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:03:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:03:22 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:03:22 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:03:23 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:03:23 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:03:23 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:03:23 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5413104542431688
+INFO 2025-08-05 14:03:23 /learner.py:612 [LEARNER] Number of optimization step: 576
+DEBUG 2025-08-05 14:03:23 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:03:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:03:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:23 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:03:23 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:03:24 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:03:25 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:03:25 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:03:25 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5199877659018391
+INFO 2025-08-05 14:03:25 /learner.py:612 [LEARNER] Number of optimization step: 577
+DEBUG 2025-08-05 14:03:25 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:03:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:03:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:03:25 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:03:25 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:03:26 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:03:27 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:03:27 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:03:27 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5261501767371628
+INFO 2025-08-05 14:03:27 /learner.py:612 [LEARNER] Number of optimization step: 578
+DEBUG 2025-08-05 14:03:27 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:03:27 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:03:27 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:03:28 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:03:29 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:03:29 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:03:29 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5338760804524713
+INFO 2025-08-05 14:03:29 /learner.py:612 [LEARNER] Number of optimization step: 579
+DEBUG 2025-08-05 14:03:29 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:03:29 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:03:29 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:03:30 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:03:31 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:03:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:03:31 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5366499321494275
+INFO 2025-08-05 14:03:31 /learner.py:612 [LEARNER] Number of optimization step: 580
+DEBUG 2025-08-05 14:03:31 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:03:31 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:03:31 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:03:32 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:03:33 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:03:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:03:33 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5275704109275898
+INFO 2025-08-05 14:03:33 /learner.py:612 [LEARNER] Number of optimization step: 581
+DEBUG 2025-08-05 14:03:33 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+DEBUG 2025-08-05 14:03:49 learner.py:1127 [LEARNER] Pushing actor policy to the queue
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+INFO 2025-08-05 14:03:54 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:03:55 /learner.py:612 [LEARNER] Number of optimization step: 593
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+INFO 2025-08-05 14:03:56 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:03:57 /learner.py:612 [LEARNER] Number of optimization step: 594
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+INFO 2025-08-05 14:03:58 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:03:59 /learner.py:612 [LEARNER] Number of optimization step: 595
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+DEBUG 2025-08-05 14:03:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:03:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:03:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:03:59 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:03:59 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:00 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:00 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:00 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:00 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5249287408691095
+INFO 2025-08-05 14:04:00 /learner.py:612 [LEARNER] Number of optimization step: 596
+DEBUG 2025-08-05 14:04:01 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:04:01 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:02 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:02 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:02 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:02 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5157387911900928
+INFO 2025-08-05 14:04:02 /learner.py:612 [LEARNER] Number of optimization step: 597
+DEBUG 2025-08-05 14:04:02 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:04:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:03 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:03 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:04 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:04 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:04 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:04 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5164169659899915
+INFO 2025-08-05 14:04:04 /learner.py:612 [LEARNER] Number of optimization step: 598
+DEBUG 2025-08-05 14:04:04 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:04:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:04 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:04 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:05 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:06 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:06 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:06 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5266729063118785
+INFO 2025-08-05 14:04:06 /learner.py:612 [LEARNER] Number of optimization step: 599
+DEBUG 2025-08-05 14:04:06 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:04:06 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:06 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:07 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:08 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:08 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:08 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5332984096631632
+INFO 2025-08-05 14:04:08 /learner.py:612 [LEARNER] Number of optimization step: 600
+DEBUG 2025-08-05 14:04:08 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:04:08 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:08 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:09 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:10 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:10 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:10 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5373654598915515
+INFO 2025-08-05 14:04:10 /learner.py:612 [LEARNER] Number of optimization step: 601
+DEBUG 2025-08-05 14:04:10 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:04:10 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:10 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:11 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:04:29 /learner.py:612 [LEARNER] Number of optimization step: 611
+DEBUG 2025-08-05 14:04:29 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:04:29 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:29 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:30 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:31 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:31 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5254184374927952
+INFO 2025-08-05 14:04:31 /learner.py:612 [LEARNER] Number of optimization step: 612
+DEBUG 2025-08-05 14:04:31 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:04:31 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:31 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:32 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:33 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:33 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5413507668682508
+INFO 2025-08-05 14:04:33 /learner.py:612 [LEARNER] Number of optimization step: 613
+DEBUG 2025-08-05 14:04:33 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:04:33 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:34 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:35 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:35 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5458376709634613
+INFO 2025-08-05 14:04:35 /learner.py:612 [LEARNER] Number of optimization step: 614
+DEBUG 2025-08-05 14:04:35 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:04:35 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:35 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:36 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:36 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:36 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:37 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5408805239392415
+INFO 2025-08-05 14:04:37 /learner.py:612 [LEARNER] Number of optimization step: 615
+DEBUG 2025-08-05 14:04:37 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:04:37 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:37 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:38 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:38 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:38 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:38 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5460040125535232
+INFO 2025-08-05 14:04:38 /learner.py:612 [LEARNER] Number of optimization step: 616
+DEBUG 2025-08-05 14:04:38 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:04:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:04:39 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:39 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:40 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:40 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:40 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:40 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5412359231410225
+INFO 2025-08-05 14:04:40 /learner.py:612 [LEARNER] Number of optimization step: 617
+DEBUG 2025-08-05 14:04:40 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:04:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:04:40 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:40 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:41 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:42 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:42 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:42 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5388523018001539
+INFO 2025-08-05 14:04:42 /learner.py:612 [LEARNER] Number of optimization step: 618
+DEBUG 2025-08-05 14:04:42 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:04:42 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:42 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:43 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:44 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:44 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:44 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5380644678362619
+INFO 2025-08-05 14:04:44 /learner.py:612 [LEARNER] Number of optimization step: 619
+DEBUG 2025-08-05 14:04:44 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:04:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:44 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:44 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:45 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:46 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:46 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:46 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5265461587439816
+INFO 2025-08-05 14:04:46 /learner.py:612 [LEARNER] Number of optimization step: 620
+DEBUG 2025-08-05 14:04:46 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:04:46 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:46 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:47 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:48 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:48 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:48 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.551689376630407
+INFO 2025-08-05 14:04:48 /learner.py:612 [LEARNER] Number of optimization step: 621
+DEBUG 2025-08-05 14:04:48 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:04:48 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:48 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:49 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:49 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:49 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:49 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7447906164029436
+INFO 2025-08-05 14:04:49 /learner.py:612 [LEARNER] Number of optimization step: 622
+DEBUG 2025-08-05 14:04:49 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:04:49 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:04:49 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:04:50 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:04:50 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:04:50 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:04:50 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7291457942413723
+INFO 2025-08-05 14:04:50 /learner.py:612 [LEARNER] Number of optimization step: 623
+DEBUG 2025-08-05 14:04:50 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:04:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:04:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:04:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+INFO 2025-08-05 14:04:56 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:04:57 /learner.py:612 [LEARNER] Number of optimization step: 626
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+INFO 2025-08-05 14:04:58 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:04:59 /learner.py:612 [LEARNER] Number of optimization step: 627
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+INFO 2025-08-05 14:05:00 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:05:00 /learner.py:612 [LEARNER] Number of optimization step: 628
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+INFO 2025-08-05 14:05:01 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:05:02 /learner.py:612 [LEARNER] Number of optimization step: 629
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+INFO 2025-08-05 14:05:03 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:05:04 /learner.py:612 [LEARNER] Number of optimization step: 630
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+INFO 2025-08-05 14:05:15 /learner.py:612 [LEARNER] Number of optimization step: 636
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+DEBUG 2025-08-05 14:05:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:15 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:15 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:16 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:16 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:16 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.537027087781246
+INFO 2025-08-05 14:05:17 /learner.py:612 [LEARNER] Number of optimization step: 637
+DEBUG 2025-08-05 14:05:17 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:05:17 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:17 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:18 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:18 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:18 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:18 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5471438393127506
+INFO 2025-08-05 14:05:18 /learner.py:612 [LEARNER] Number of optimization step: 638
+DEBUG 2025-08-05 14:05:18 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:05:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:19 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:19 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:20 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:20 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:20 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:20 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5330088235876796
+INFO 2025-08-05 14:05:20 /learner.py:612 [LEARNER] Number of optimization step: 639
+DEBUG 2025-08-05 14:05:20 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:05:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:20 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:20 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:21 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:22 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:22 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:22 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5457345488831629
+INFO 2025-08-05 14:05:22 /learner.py:612 [LEARNER] Number of optimization step: 640
+DEBUG 2025-08-05 14:05:22 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:05:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:22 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:22 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:23 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:24 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:24 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:24 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5326131425994436
+INFO 2025-08-05 14:05:24 /learner.py:612 [LEARNER] Number of optimization step: 641
+DEBUG 2025-08-05 14:05:24 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:05:24 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:24 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:25 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:26 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:26 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:26 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5203408243191128
+INFO 2025-08-05 14:05:26 /learner.py:612 [LEARNER] Number of optimization step: 642
+DEBUG 2025-08-05 14:05:26 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:26 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:26 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:27 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:28 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:28 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:28 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5302195660069318
+INFO 2025-08-05 14:05:28 /learner.py:612 [LEARNER] Number of optimization step: 643
+DEBUG 2025-08-05 14:05:28 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:05:28 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:29 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:30 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:30 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:30 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5192083250793712
+INFO 2025-08-05 14:05:30 /learner.py:612 [LEARNER] Number of optimization step: 644
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+DEBUG 2025-08-05 14:05:30 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:30 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:31 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:31 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:32 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5218268036071991
+INFO 2025-08-05 14:05:32 /learner.py:612 [LEARNER] Number of optimization step: 645
+DEBUG 2025-08-05 14:05:32 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:05:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:05:32 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:32 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:33 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:33 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:34 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5096876157149115
+INFO 2025-08-05 14:05:34 /learner.py:612 [LEARNER] Number of optimization step: 646
+DEBUG 2025-08-05 14:05:34 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:05:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:05:34 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:34 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:35 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:35 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:35 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6635081911722227
+INFO 2025-08-05 14:05:35 /learner.py:612 [LEARNER] Number of optimization step: 647
+DEBUG 2025-08-05 14:05:35 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:05:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:05:35 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:35 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:36 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:36 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:36 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:36 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7273708502111694
+INFO 2025-08-05 14:05:36 /learner.py:612 [LEARNER] Number of optimization step: 648
+DEBUG 2025-08-05 14:05:37 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:05:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:37 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:37 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:38 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:38 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:38 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:38 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6761927588718624
+INFO 2025-08-05 14:05:38 /learner.py:612 [LEARNER] Number of optimization step: 649
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+INFO 2025-08-05 14:05:40 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:41 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:43 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:43 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:43 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 14:05:43 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5356951594054152
+INFO 2025-08-05 14:05:43 /learner.py:612 [LEARNER] Number of optimization step: 651
+DEBUG 2025-08-05 14:05:43 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+INFO 2025-08-05 14:05:43 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:44 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:45 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:45 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:05:45 /learner.py:612 [LEARNER] Number of optimization step: 652
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+DEBUG 2025-08-05 14:05:45 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:45 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:46 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:47 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:47 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:47 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5335212518857286
+INFO 2025-08-05 14:05:47 /learner.py:612 [LEARNER] Number of optimization step: 653
+DEBUG 2025-08-05 14:05:47 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:05:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:05:47 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:47 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:48 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:48 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:48 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:49 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.516826638157287
+INFO 2025-08-05 14:05:49 /learner.py:612 [LEARNER] Number of optimization step: 654
+DEBUG 2025-08-05 14:05:49 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:05:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:49 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:49 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:50 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:50 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:50 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:50 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.533572766120106
+INFO 2025-08-05 14:05:50 /learner.py:612 [LEARNER] Number of optimization step: 655
+DEBUG 2025-08-05 14:05:51 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:05:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:05:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:05:51 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:05:51 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:05:52 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:05:52 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:05:52 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:05:52 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6561176103732346
+INFO 2025-08-05 14:05:52 /learner.py:612 [LEARNER] Number of optimization step: 656
+DEBUG 2025-08-05 14:05:52 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:05:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:05:52 r_service.py:83 [LEARNER] Parameters sent
+DEBUG 2025-08-05 14:05:52 ort/utils.py:76 [LEARNER] interactions Received item
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+DEBUG 2025-08-05 14:05:52 rt/utils.py:104 [LEARNER] interactions Queue updated
+DEBUG 2025-08-05 14:05:52 ort/utils.py:76 [LEARNER] transitions Received item
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+DEBUG 2025-08-05 14:06:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:06:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:06:02 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:02 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:03 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:03 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:03 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:03 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5312143038236837
+INFO 2025-08-05 14:06:03 /learner.py:612 [LEARNER] Number of optimization step: 662
+DEBUG 2025-08-05 14:06:03 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:06:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:06:03 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:04 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:05 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:05 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:05 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5315680905048139
+INFO 2025-08-05 14:06:05 /learner.py:612 [LEARNER] Number of optimization step: 663
+DEBUG 2025-08-05 14:06:05 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:06:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:06:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:06:05 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:05 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:06 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:07 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:07 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:07 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5577683963007701
+INFO 2025-08-05 14:06:07 /learner.py:612 [LEARNER] Number of optimization step: 664
+DEBUG 2025-08-05 14:06:07 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:06:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:06:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:06:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:06:07 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:07 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:08 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:09 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:09 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:09 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5421090906716082
+INFO 2025-08-05 14:06:09 /learner.py:612 [LEARNER] Number of optimization step: 665
+DEBUG 2025-08-05 14:06:09 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:06:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:06:09 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:09 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:10 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:11 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:11 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:11 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5423425843486219
+INFO 2025-08-05 14:06:11 /learner.py:612 [LEARNER] Number of optimization step: 666
+DEBUG 2025-08-05 14:06:11 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:06:11 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:11 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:12 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:12 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:12 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:12 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5386320402659028
+INFO 2025-08-05 14:06:12 /learner.py:612 [LEARNER] Number of optimization step: 667
+DEBUG 2025-08-05 14:06:13 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:06:13 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:13 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:14 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:14 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:14 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:14 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5414053417020712
+INFO 2025-08-05 14:06:14 /learner.py:612 [LEARNER] Number of optimization step: 668
+DEBUG 2025-08-05 14:06:14 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+INFO 2025-08-05 14:06:14 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:15 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:16 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:16 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:06:16 /learner.py:612 [LEARNER] Number of optimization step: 669
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+DEBUG 2025-08-05 14:06:16 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:16 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:17 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:18 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:18 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:18 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5400110978444934
+INFO 2025-08-05 14:06:18 /learner.py:612 [LEARNER] Number of optimization step: 670
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+DEBUG 2025-08-05 14:06:18 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:18 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:19 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:20 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:20 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:20 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5309463322005927
+INFO 2025-08-05 14:06:20 /learner.py:612 [LEARNER] Number of optimization step: 671
+DEBUG 2025-08-05 14:06:20 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:06:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:06:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:06:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:06:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:06:20 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:20 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:21 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:22 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:22 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:22 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5779845727028545
+INFO 2025-08-05 14:06:22 /learner.py:612 [LEARNER] Number of optimization step: 672
+DEBUG 2025-08-05 14:06:22 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:06:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:06:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:06:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:06:22 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:22 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:23 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:23 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:23 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:23 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7214181145681932
+INFO 2025-08-05 14:06:23 /learner.py:612 [LEARNER] Number of optimization step: 673
+DEBUG 2025-08-05 14:06:23 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:06:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:06:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:06:23 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:23 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:24 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:25 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:25 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:25 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6468196556138599
+INFO 2025-08-05 14:06:25 /learner.py:612 [LEARNER] Number of optimization step: 674
+DEBUG 2025-08-05 14:06:25 ort/utils.py:76 [LEARNER] interactions Received item
+DEBUG 2025-08-05 14:06:25 ort/utils.py:93 [LEARNER] interactions Received data at step end size 192
+DEBUG 2025-08-05 14:06:25 rt/utils.py:104 [LEARNER] interactions Queue updated
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+DEBUG 2025-08-05 14:06:27 ort/utils.py:90 [LEARNER] transitions Received data at step 2
+DEBUG 2025-08-05 14:06:27 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 14:06:27 ort/utils.py:90 [LEARNER] transitions Received data at step 3
+DEBUG 2025-08-05 14:06:27 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 14:06:27 ort/utils.py:93 [LEARNER] transitions Received data at step end size 9479197
+DEBUG 2025-08-05 14:06:27 rt/utils.py:104 [LEARNER] transitions Queue updated
+INFO 2025-08-05 14:06:28 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:29 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:29 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:29 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.673681396718567
+INFO 2025-08-05 14:06:29 /learner.py:612 [LEARNER] Number of optimization step: 676
+DEBUG 2025-08-05 14:06:29 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+INFO 2025-08-05 14:06:29 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:30 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:31 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:31 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5436950589193071
+INFO 2025-08-05 14:06:31 /learner.py:612 [LEARNER] Number of optimization step: 677
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+DEBUG 2025-08-05 14:06:31 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:31 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:32 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:33 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:33 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5473074786096351
+INFO 2025-08-05 14:06:33 /learner.py:612 [LEARNER] Number of optimization step: 678
+DEBUG 2025-08-05 14:06:33 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+DEBUG 2025-08-05 14:06:33 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:34 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:34 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:34 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5664683672663979
+INFO 2025-08-05 14:06:35 /learner.py:612 [LEARNER] Number of optimization step: 679
+DEBUG 2025-08-05 14:06:35 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:06:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:06:35 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:35 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:36 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:36 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:36 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:36 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5491145675397112
+INFO 2025-08-05 14:06:36 /learner.py:612 [LEARNER] Number of optimization step: 680
+DEBUG 2025-08-05 14:06:36 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:06:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:06:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:06:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:06:37 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:37 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:38 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:38 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:38 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:38 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.559922892385055
+INFO 2025-08-05 14:06:38 /learner.py:612 [LEARNER] Number of optimization step: 681
+DEBUG 2025-08-05 14:06:38 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:06:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:06:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:06:38 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:06:38 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:39 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:40 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:40 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:40 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.541545917315856
+INFO 2025-08-05 14:06:40 /learner.py:612 [LEARNER] Number of optimization step: 682
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+INFO 2025-08-05 14:06:47 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:06:48 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:06:49 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:06:49 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:49 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5471796716618473
+INFO 2025-08-05 14:06:49 /learner.py:612 [LEARNER] Number of optimization step: 687
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+INFO 2025-08-05 14:06:50 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:06:50 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:06:50 /learner.py:612 [LEARNER] Number of optimization step: 688
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+INFO 2025-08-05 14:06:52 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:06:52 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:06:52 /learner.py:612 [LEARNER] Number of optimization step: 689
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+INFO 2025-08-05 14:06:53 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:06:54 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:06:54 /learner.py:612 [LEARNER] Number of optimization step: 690
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+INFO 2025-08-05 14:06:55 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:06:56 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:06:56 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.666360465542348
+INFO 2025-08-05 14:06:56 /learner.py:612 [LEARNER] Number of optimization step: 691
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+DEBUG 2025-08-05 14:06:57 ort/utils.py:76 [LEARNER] interactions Received item
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+DEBUG 2025-08-05 14:07:04 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:07:04 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:07:05 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:07:06 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:07:06 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:07:06 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5843819699530347
+INFO 2025-08-05 14:07:06 /learner.py:612 [LEARNER] Number of optimization step: 697
+DEBUG 2025-08-05 14:07:06 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:07:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:07:07 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:07:08 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:07:08 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5564209625313595
+INFO 2025-08-05 14:07:08 /learner.py:612 [LEARNER] Number of optimization step: 698
+DEBUG 2025-08-05 14:07:08 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:07:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:07:08 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:07:08 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:07:09 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:07:10 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:07:10 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:07:10 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5469834364587705
+INFO 2025-08-05 14:07:10 /learner.py:612 [LEARNER] Number of optimization step: 699
+DEBUG 2025-08-05 14:07:10 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:07:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:07:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:10 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:07:10 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:07:11 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:07:12 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:07:12 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:07:12 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5461873828281345
+INFO 2025-08-05 14:07:12 /learner.py:612 [LEARNER] Number of optimization step: 700
+DEBUG 2025-08-05 14:07:12 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:07:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:07:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:12 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:07:12 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:07:13 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:07:13 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:07:13 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:07:14 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5565788985188349
+INFO 2025-08-05 14:07:14 /learner.py:612 [LEARNER] Number of optimization step: 701
+DEBUG 2025-08-05 14:07:14 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:07:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:07:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:14 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:07:14 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:07:15 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:07:15 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:07:15 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:07:15 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5417027966483418
+INFO 2025-08-05 14:07:15 /learner.py:612 [LEARNER] Number of optimization step: 702
+DEBUG 2025-08-05 14:07:15 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:07:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:07:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:34 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:07:34 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:07:35 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:07:36 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:07:36 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:07:36 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5300697353605358
+INFO 2025-08-05 14:07:36 /learner.py:612 [LEARNER] Number of optimization step: 713
+DEBUG 2025-08-05 14:07:36 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:07:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:07:36 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:07:37 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:07:38 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:07:38 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:07:38 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.48351672144227215
+INFO 2025-08-05 14:07:38 /learner.py:612 [LEARNER] Number of optimization step: 714
+DEBUG 2025-08-05 14:07:38 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:07:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:07:38 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:07:38 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:07:39 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:07:40 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:07:40 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:07:40 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5573523718132352
+INFO 2025-08-05 14:07:40 /learner.py:612 [LEARNER] Number of optimization step: 715
+DEBUG 2025-08-05 14:07:40 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:07:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:07:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:40 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:07:40 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:07:41 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:07:41 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:07:41 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:07:42 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5592432919541555
+INFO 2025-08-05 14:07:42 /learner.py:612 [LEARNER] Number of optimization step: 716
+DEBUG 2025-08-05 14:07:42 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:07:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:07:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:42 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:07:42 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:07:43 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:07:43 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:07:43 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:07:43 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6400277351672846
+INFO 2025-08-05 14:07:43 /learner.py:612 [LEARNER] Number of optimization step: 717
+DEBUG 2025-08-05 14:07:43 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:07:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:07:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:43 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:07:43 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:07:44 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:07:45 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:07:45 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:07:45 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6654796575691755
+INFO 2025-08-05 14:07:45 /learner.py:612 [LEARNER] Number of optimization step: 718
+DEBUG 2025-08-05 14:07:45 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:07:45 ort/utils.py:76 [LEARNER] interactions Received item
+DEBUG 2025-08-05 14:07:45 ort/utils.py:93 [LEARNER] interactions Received data at step end size 192
+DEBUG 2025-08-05 14:07:45 rt/utils.py:104 [LEARNER] interactions Queue updated
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+DEBUG 2025-08-05 14:07:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:07:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:07:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:11 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:11 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:12 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:13 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:13 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:13 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5307471930612915
+INFO 2025-08-05 14:08:13 /learner.py:612 [LEARNER] Number of optimization step: 733
+DEBUG 2025-08-05 14:08:13 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:08:13 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:14 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:08:15 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:08:15 /learner.py:612 [LEARNER] Number of optimization step: 734
+DEBUG 2025-08-05 14:08:15 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:08:15 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:16 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:17 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:17 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5463742214612249
+INFO 2025-08-05 14:08:17 /learner.py:612 [LEARNER] Number of optimization step: 735
+DEBUG 2025-08-05 14:08:17 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:08:17 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:17 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:18 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:18 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:19 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:19 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5398586709879262
+INFO 2025-08-05 14:08:19 /learner.py:612 [LEARNER] Number of optimization step: 736
+DEBUG 2025-08-05 14:08:19 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:08:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:19 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:19 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:20 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:20 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:20 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:20 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5374999500529787
+INFO 2025-08-05 14:08:20 /learner.py:612 [LEARNER] Number of optimization step: 737
+DEBUG 2025-08-05 14:08:21 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:08:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:21 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:21 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:22 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:22 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:22 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:22 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5509138738258694
+INFO 2025-08-05 14:08:22 /learner.py:612 [LEARNER] Number of optimization step: 738
+DEBUG 2025-08-05 14:08:22 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:08:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:22 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:22 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:23 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:24 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:24 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:24 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5430925099869992
+INFO 2025-08-05 14:08:24 /learner.py:612 [LEARNER] Number of optimization step: 739
+DEBUG 2025-08-05 14:08:24 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:08:25 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:26 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:26 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:08:26 /learner.py:612 [LEARNER] Number of optimization step: 740
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+DEBUG 2025-08-05 14:08:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:08:26 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:26 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:27 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:28 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:28 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:08:28 /learner.py:612 [LEARNER] Number of optimization step: 741
+DEBUG 2025-08-05 14:08:28 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:08:28 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:28 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:29 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:30 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:30 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:30 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.522017159828912
+INFO 2025-08-05 14:08:30 /learner.py:612 [LEARNER] Number of optimization step: 742
+DEBUG 2025-08-05 14:08:30 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:08:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:30 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:30 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:31 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:32 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:32 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:32 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5224767036138185
+INFO 2025-08-05 14:08:32 /learner.py:612 [LEARNER] Number of optimization step: 743
+DEBUG 2025-08-05 14:08:32 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:08:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:32 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:32 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:33 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:33 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:33 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6984736105638041
+INFO 2025-08-05 14:08:33 /learner.py:612 [LEARNER] Number of optimization step: 744
+DEBUG 2025-08-05 14:08:33 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:08:33 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:34 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:35 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:35 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6597639237587064
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+INFO 2025-08-05 14:08:39 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:40 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:41 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:41 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:41 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5378021613289924
+INFO 2025-08-05 14:08:41 /learner.py:612 [LEARNER] Number of optimization step: 748
+DEBUG 2025-08-05 14:08:41 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+INFO 2025-08-05 14:08:42 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:08:43 /learner.py:612 [LEARNER] Number of optimization step: 749
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+INFO 2025-08-05 14:08:44 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:08:45 /learner.py:612 [LEARNER] Number of optimization step: 750
+DEBUG 2025-08-05 14:08:45 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+DEBUG 2025-08-05 14:08:45 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:45 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:46 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:46 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:46 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:47 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5319951464058494
+INFO 2025-08-05 14:08:47 /learner.py:612 [LEARNER] Number of optimization step: 751
+DEBUG 2025-08-05 14:08:47 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:08:47 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:47 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:48 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:48 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:48 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:48 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5580908658376008
+INFO 2025-08-05 14:08:48 /learner.py:612 [LEARNER] Number of optimization step: 752
+DEBUG 2025-08-05 14:08:48 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:08:48 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:48 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:49 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:50 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:50 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:50 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5670824516009094
+INFO 2025-08-05 14:08:50 /learner.py:612 [LEARNER] Number of optimization step: 753
+DEBUG 2025-08-05 14:08:50 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:08:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:08:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:08:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:08:50 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:50 r_service.py:83 [LEARNER] Parameters sent
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+DEBUG 2025-08-05 14:08:57 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:57 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:08:58 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:08:59 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:08:59 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:08:59 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5959329172951489
+INFO 2025-08-05 14:08:59 /learner.py:612 [LEARNER] Number of optimization step: 758
+DEBUG 2025-08-05 14:08:59 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:08:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:08:59 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:08:59 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:09:00 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:09:00 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:09:00 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:09:00 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.553060341799259
+INFO 2025-08-05 14:09:00 /learner.py:612 [LEARNER] Number of optimization step: 759
+DEBUG 2025-08-05 14:09:01 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:09:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:09:01 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:09:01 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:09:02 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:09:02 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:09:02 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:09:02 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5830763846371482
+INFO 2025-08-05 14:09:02 /learner.py:612 [LEARNER] Number of optimization step: 760
+DEBUG 2025-08-05 14:09:02 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:09:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:09:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:02 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:09:02 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:09:03 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:09:04 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:09:04 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:09:04 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5425201348110748
+INFO 2025-08-05 14:09:04 /learner.py:612 [LEARNER] Number of optimization step: 761
+DEBUG 2025-08-05 14:09:04 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:09:04 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:09:04 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:09:05 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:09:06 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:09:06 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:09:06 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5502394952662536
+INFO 2025-08-05 14:09:06 /learner.py:612 [LEARNER] Number of optimization step: 762
+DEBUG 2025-08-05 14:09:06 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:09:06 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:09:06 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:09:07 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:09:07 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:09:07 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:09:07 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.8010949407549695
+INFO 2025-08-05 14:09:07 /learner.py:612 [LEARNER] Number of optimization step: 763
+DEBUG 2025-08-05 14:09:07 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:33 ort/utils.py:76 [LEARNER] transitions Received item
+DEBUG 2025-08-05 14:09:33 ort/utils.py:93 [LEARNER] transitions Received data at step end size 39494541
+DEBUG 2025-08-05 14:09:33 rt/utils.py:104 [LEARNER] transitions Queue updated
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+DEBUG 2025-08-05 14:09:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:09:33 /learner.py:612 [LEARNER] Number of optimization step: 778
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+INFO 2025-08-05 14:09:37 /learner.py:612 [LEARNER] Number of optimization step: 780
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+INFO 2025-08-05 14:09:39 /learner.py:612 [LEARNER] Number of optimization step: 781
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+INFO 2025-08-05 14:09:40 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:09:41 /learner.py:612 [LEARNER] Number of optimization step: 782
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+INFO 2025-08-05 14:09:42 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:09:43 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:09:43 /learner.py:612 [LEARNER] Number of optimization step: 783
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+INFO 2025-08-05 14:09:43 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:09:44 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:09:44 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:09:44 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:09:45 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5445186367555537
+INFO 2025-08-05 14:09:45 /learner.py:612 [LEARNER] Number of optimization step: 784
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+INFO 2025-08-05 14:09:45 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:09:46 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:09:46 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:09:46 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:09:46 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5456313237991525
+INFO 2025-08-05 14:09:46 /learner.py:612 [LEARNER] Number of optimization step: 785
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+DEBUG 2025-08-05 14:09:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:09:47 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:09:48 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:09:48 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:09:48 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:09:48 /learner.py:612 [LEARNER] Number of optimization step: 786
+DEBUG 2025-08-05 14:09:48 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:09:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:09:48 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:09:48 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:09:49 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:09:50 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:09:50 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:09:50 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5503676524967009
+INFO 2025-08-05 14:09:50 /learner.py:612 [LEARNER] Number of optimization step: 787
+DEBUG 2025-08-05 14:09:50 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:09:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:09:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:50 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:09:50 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:09:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:09:52 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:09:52 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:09:52 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5479837056171039
+INFO 2025-08-05 14:09:52 /learner.py:612 [LEARNER] Number of optimization step: 788
+DEBUG 2025-08-05 14:09:52 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:09:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:09:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:09:52 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:09:52 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:09:53 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:09:54 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:09:54 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:09:54 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5367855069905112
+INFO 2025-08-05 14:09:54 /learner.py:612 [LEARNER] Number of optimization step: 789
+DEBUG 2025-08-05 14:09:54 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:09:54 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:09:54 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:09:55 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:09:56 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:09:56 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:09:56 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.52377404644232
+INFO 2025-08-05 14:09:56 /learner.py:612 [LEARNER] Number of optimization step: 790
+DEBUG 2025-08-05 14:09:56 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:09:56 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:09:56 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:09:57 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:09:57 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:09:57 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:09:57 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.533428768417333
+INFO 2025-08-05 14:09:57 /learner.py:612 [LEARNER] Number of optimization step: 791
+DEBUG 2025-08-05 14:09:58 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:09:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:09:58 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:09:58 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:09:59 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:09:59 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:09:59 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:09:59 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5420936763715978
+INFO 2025-08-05 14:09:59 /learner.py:612 [LEARNER] Number of optimization step: 792
+DEBUG 2025-08-05 14:09:59 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:09:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:09:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:00 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:00 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:01 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:01 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:01 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:01 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5195251876293784
+INFO 2025-08-05 14:10:01 /learner.py:612 [LEARNER] Number of optimization step: 793
+DEBUG 2025-08-05 14:10:01 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:10:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:01 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:01 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:02 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:03 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:03 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:03 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.46763188354230223
+INFO 2025-08-05 14:10:03 /learner.py:612 [LEARNER] Number of optimization step: 794
+DEBUG 2025-08-05 14:10:04 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:04 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:04 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:05 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:05 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:05 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:05 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6912100402930845
+INFO 2025-08-05 14:10:05 /learner.py:612 [LEARNER] Number of optimization step: 795
+DEBUG 2025-08-05 14:10:05 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:10:05 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:05 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:06 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:06 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:06 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:06 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6469650218873091
+INFO 2025-08-05 14:10:06 /learner.py:612 [LEARNER] Number of optimization step: 796
+DEBUG 2025-08-05 14:10:06 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:11 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:11 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:12 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:13 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:13 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:13 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5375982606541136
+INFO 2025-08-05 14:10:13 /learner.py:612 [LEARNER] Number of optimization step: 799
+DEBUG 2025-08-05 14:10:13 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:10:13 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:14 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:15 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:15 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:10:15 /learner.py:612 [LEARNER] Number of optimization step: 800
+DEBUG 2025-08-05 14:10:15 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:10:15 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:15 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:16 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:17 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:17 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5435207533320705
+INFO 2025-08-05 14:10:17 /learner.py:612 [LEARNER] Number of optimization step: 801
+DEBUG 2025-08-05 14:10:17 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:10:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:17 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:17 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:18 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:18 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:18 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:19 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5487231921834314
+INFO 2025-08-05 14:10:19 /learner.py:612 [LEARNER] Number of optimization step: 802
+DEBUG 2025-08-05 14:10:19 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:10:19 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:19 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:20 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:20 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:20 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:20 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5370841642015564
+INFO 2025-08-05 14:10:20 /learner.py:612 [LEARNER] Number of optimization step: 803
+DEBUG 2025-08-05 14:10:20 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:10:21 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:21 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:22 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:22 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:22 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:22 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5494505693023802
+INFO 2025-08-05 14:10:22 /learner.py:612 [LEARNER] Number of optimization step: 804
+DEBUG 2025-08-05 14:10:22 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:10:22 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:22 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:23 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:24 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:24 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:24 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5476833911318347
+INFO 2025-08-05 14:10:24 /learner.py:612 [LEARNER] Number of optimization step: 805
+DEBUG 2025-08-05 14:10:24 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:24 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:10:24 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:24 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:25 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:26 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:26 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:26 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5532106840902211
+INFO 2025-08-05 14:10:26 /learner.py:612 [LEARNER] Number of optimization step: 806
+DEBUG 2025-08-05 14:10:26 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:10:26 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:26 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:27 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:28 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:28 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:28 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.542333818569939
+INFO 2025-08-05 14:10:28 /learner.py:612 [LEARNER] Number of optimization step: 807
+DEBUG 2025-08-05 14:10:28 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:10:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:10:28 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:28 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:29 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:29 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:30 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:30 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.531668623553421
+INFO 2025-08-05 14:10:30 /learner.py:612 [LEARNER] Number of optimization step: 808
+DEBUG 2025-08-05 14:10:30 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:10:30 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:30 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:31 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:31 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:31 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5629919359517103
+INFO 2025-08-05 14:10:31 /learner.py:612 [LEARNER] Number of optimization step: 809
+DEBUG 2025-08-05 14:10:31 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:10:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:10:32 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:32 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:33 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:33 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:33 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5315596021893595
+INFO 2025-08-05 14:10:33 /learner.py:612 [LEARNER] Number of optimization step: 810
+DEBUG 2025-08-05 14:10:33 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:10:33 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:34 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:35 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:35 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5314688076487007
+INFO 2025-08-05 14:10:35 /learner.py:612 [LEARNER] Number of optimization step: 811
+DEBUG 2025-08-05 14:10:35 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:10:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:10:48 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:48 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:49 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:50 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:50 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:50 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5405285864942675
+INFO 2025-08-05 14:10:50 /learner.py:612 [LEARNER] Number of optimization step: 819
+DEBUG 2025-08-05 14:10:50 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:10:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:50 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:50 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:51 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:51 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:51 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5867885334020384
+INFO 2025-08-05 14:10:51 /learner.py:612 [LEARNER] Number of optimization step: 820
+DEBUG 2025-08-05 14:10:51 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:10:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:52 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:52 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:53 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:53 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:53 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:53 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5643640556606275
+INFO 2025-08-05 14:10:53 /learner.py:612 [LEARNER] Number of optimization step: 821
+DEBUG 2025-08-05 14:10:53 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:10:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:10:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:10:53 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:53 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:54 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:55 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:55 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:55 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5588752521559784
+INFO 2025-08-05 14:10:55 /learner.py:612 [LEARNER] Number of optimization step: 822
+DEBUG 2025-08-05 14:10:55 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:10:55 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:55 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:56 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:57 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:57 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:57 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5571172477670808
+INFO 2025-08-05 14:10:57 /learner.py:612 [LEARNER] Number of optimization step: 823
+DEBUG 2025-08-05 14:10:57 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:10:57 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:57 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:10:58 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:10:58 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:10:58 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:10:59 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5431353391179734
+INFO 2025-08-05 14:10:59 /learner.py:612 [LEARNER] Number of optimization step: 824
+DEBUG 2025-08-05 14:10:59 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:10:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:10:59 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:10:59 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:00 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:11:00 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:11:00 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:00 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6218530972447202
+INFO 2025-08-05 14:11:00 /learner.py:612 [LEARNER] Number of optimization step: 825
+DEBUG 2025-08-05 14:11:00 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:11:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:00 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:00 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:01 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:11:02 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:11:02 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:02 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5400788939273528
+INFO 2025-08-05 14:11:02 /learner.py:612 [LEARNER] Number of optimization step: 826
+DEBUG 2025-08-05 14:11:02 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:11:02 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:02 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:03 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:11:04 /learner.py:612 [LEARNER] Number of optimization step: 827
+DEBUG 2025-08-05 14:11:04 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:11:04 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:04 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:05 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:11:06 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:11:06 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:06 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5392023363404803
+INFO 2025-08-05 14:11:06 /learner.py:612 [LEARNER] Number of optimization step: 828
+DEBUG 2025-08-05 14:11:06 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:11:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:06 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:06 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:07 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:11:08 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:11:08 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:08 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5092239460033686
+INFO 2025-08-05 14:11:08 /learner.py:612 [LEARNER] Number of optimization step: 829
+DEBUG 2025-08-05 14:11:08 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:08 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:08 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:09 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:11:09 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:11:09 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:09 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5724646964879379
+INFO 2025-08-05 14:11:09 /learner.py:612 [LEARNER] Number of optimization step: 830
+DEBUG 2025-08-05 14:11:10 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:11:10 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:10 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:11 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:11:11 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:11:11 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:11 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.694654544893708
+INFO 2025-08-05 14:11:11 /learner.py:612 [LEARNER] Number of optimization step: 831
+DEBUG 2025-08-05 14:11:11 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:11:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+INFO 2025-08-05 14:11:34 /learner.py:612 [LEARNER] Number of optimization step: 844
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+DEBUG 2025-08-05 14:11:36 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:11:36 /learner.py:612 [LEARNER] Number of optimization step: 845
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+INFO 2025-08-05 14:11:40 /learner.py:612 [LEARNER] Number of optimization step: 847
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+INFO 2025-08-05 14:11:41 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:11:42 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:42 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5586926417701937
+INFO 2025-08-05 14:11:42 /learner.py:612 [LEARNER] Number of optimization step: 848
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+INFO 2025-08-05 14:11:43 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:11:44 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:11:44 /learner.py:612 [LEARNER] Number of optimization step: 849
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+DEBUG 2025-08-05 14:11:44 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:44 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:45 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:11:46 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:11:46 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:46 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5314145343340728
+INFO 2025-08-05 14:11:46 /learner.py:612 [LEARNER] Number of optimization step: 850
+DEBUG 2025-08-05 14:11:46 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:11:46 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:46 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:47 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:11:48 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:11:48 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:48 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5518609018818392
+INFO 2025-08-05 14:11:48 /learner.py:612 [LEARNER] Number of optimization step: 851
+DEBUG 2025-08-05 14:11:48 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:11:48 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:48 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:49 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:11:49 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:11:49 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:50 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5263417193201175
+INFO 2025-08-05 14:11:50 /learner.py:612 [LEARNER] Number of optimization step: 852
+DEBUG 2025-08-05 14:11:50 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:11:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:50 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:50 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:11:51 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:11:51 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:51 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5414530774973075
+INFO 2025-08-05 14:11:51 /learner.py:612 [LEARNER] Number of optimization step: 853
+DEBUG 2025-08-05 14:11:51 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:11:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:11:52 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:52 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:53 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:11:53 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:11:53 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:53 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5664992005733099
+INFO 2025-08-05 14:11:53 /learner.py:612 [LEARNER] Number of optimization step: 854
+DEBUG 2025-08-05 14:11:53 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:11:53 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:53 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:54 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:11:55 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:11:55 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:55 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.4979186039145838
+INFO 2025-08-05 14:11:55 /learner.py:612 [LEARNER] Number of optimization step: 855
+DEBUG 2025-08-05 14:11:55 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:11:55 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:55 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:56 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:11:57 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:11:57 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:57 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5270608669446641
+INFO 2025-08-05 14:11:57 /learner.py:612 [LEARNER] Number of optimization step: 856
+DEBUG 2025-08-05 14:11:57 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:11:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:11:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:11:57 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:57 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:11:58 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:11:59 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:11:59 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:11:59 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5199046833421624
+INFO 2025-08-05 14:11:59 /learner.py:612 [LEARNER] Number of optimization step: 857
+DEBUG 2025-08-05 14:11:59 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:11:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:11:59 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:11:59 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:00 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:01 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:01 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:01 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.4984311368669977
+INFO 2025-08-05 14:12:01 /learner.py:612 [LEARNER] Number of optimization step: 858
+DEBUG 2025-08-05 14:12:01 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:12:01 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:01 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:02 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:03 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:03 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:03 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5255667693701754
+INFO 2025-08-05 14:12:03 /learner.py:612 [LEARNER] Number of optimization step: 859
+DEBUG 2025-08-05 14:12:03 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:12:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:03 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:03 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:04 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:05 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:05 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:05 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5013438121692941
+INFO 2025-08-05 14:12:05 /learner.py:612 [LEARNER] Number of optimization step: 860
+DEBUG 2025-08-05 14:12:05 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:12:05 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:05 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:06 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:07 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:07 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:07 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.49918278702403
+INFO 2025-08-05 14:12:07 /learner.py:612 [LEARNER] Number of optimization step: 861
+DEBUG 2025-08-05 14:12:07 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:12:07 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:07 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:08 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:08 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:08 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:09 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6206273649007985
+INFO 2025-08-05 14:12:09 /learner.py:612 [LEARNER] Number of optimization step: 862
+DEBUG 2025-08-05 14:12:09 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:12:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:12 ort/utils.py:76 [LEARNER] transitions Received item
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+DEBUG 2025-08-05 14:12:22 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:22 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:23 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:23 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:23 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:23 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7022508231769752
+INFO 2025-08-05 14:12:23 /learner.py:612 [LEARNER] Number of optimization step: 871
+DEBUG 2025-08-05 14:12:23 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:12:23 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:24 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:25 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:25 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:25 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6676104425550975
+INFO 2025-08-05 14:12:25 /learner.py:612 [LEARNER] Number of optimization step: 872
+DEBUG 2025-08-05 14:12:25 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:12:25 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:25 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:26 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:26 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:26 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:26 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6485446064420222
+INFO 2025-08-05 14:12:26 /learner.py:612 [LEARNER] Number of optimization step: 873
+DEBUG 2025-08-05 14:12:26 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:12:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:26 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:26 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:27 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:28 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:28 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:28 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6587395392608023
+INFO 2025-08-05 14:12:28 /learner.py:612 [LEARNER] Number of optimization step: 874
+DEBUG 2025-08-05 14:12:28 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:12:28 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:28 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:29 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:29 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:29 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:29 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6143589323677326
+INFO 2025-08-05 14:12:29 /learner.py:612 [LEARNER] Number of optimization step: 875
+DEBUG 2025-08-05 14:12:29 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:12:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:12:30 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:30 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:31 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:31 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:31 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6663300832431573
+INFO 2025-08-05 14:12:31 /learner.py:612 [LEARNER] Number of optimization step: 876
+DEBUG 2025-08-05 14:12:31 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:12:31 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:31 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:32 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:32 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:32 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:32 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6508955678946988
+INFO 2025-08-05 14:12:32 /learner.py:612 [LEARNER] Number of optimization step: 877
+DEBUG 2025-08-05 14:12:32 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:12:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:34 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:34 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:34 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:34 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6505529217265644
+INFO 2025-08-05 14:12:34 /learner.py:612 [LEARNER] Number of optimization step: 878
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+DEBUG 2025-08-05 14:12:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:12:34 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:34 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:35 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:35 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:35 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6606406863784585
+INFO 2025-08-05 14:12:35 /learner.py:612 [LEARNER] Number of optimization step: 879
+DEBUG 2025-08-05 14:12:36 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:12:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:36 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:36 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:37 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:37 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:37 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:37 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6634373492928501
+INFO 2025-08-05 14:12:37 /learner.py:612 [LEARNER] Number of optimization step: 880
+DEBUG 2025-08-05 14:12:37 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:12:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:12:37 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:37 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:38 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:39 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:39 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:39 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.608666792354902
+INFO 2025-08-05 14:12:39 /learner.py:612 [LEARNER] Number of optimization step: 881
+DEBUG 2025-08-05 14:12:39 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:12:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:12:39 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:39 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:40 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:40 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:40 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:40 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.655342796822098
+INFO 2025-08-05 14:12:40 /learner.py:612 [LEARNER] Number of optimization step: 882
+DEBUG 2025-08-05 14:12:40 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:12:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:12:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:12:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:12:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:12:40 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:12:40 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:12:41 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:12:42 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:12:42 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:12:42 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.587069506222381
+INFO 2025-08-05 14:12:42 /learner.py:612 [LEARNER] Number of optimization step: 883
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+INFO 2025-08-05 14:13:34 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:13:35 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:13:35 /learner.py:612 [LEARNER] Number of optimization step: 915
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+INFO 2025-08-05 14:13:36 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:13:37 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:13:37 /learner.py:612 [LEARNER] Number of optimization step: 916
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+INFO 2025-08-05 14:13:37 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:13:38 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:13:39 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:13:39 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:13:39 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.550048777907861
+INFO 2025-08-05 14:13:39 /learner.py:612 [LEARNER] Number of optimization step: 917
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+INFO 2025-08-05 14:14:05 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:06 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:14:07 /learner.py:612 [LEARNER] Number of optimization step: 933
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+INFO 2025-08-05 14:14:08 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:14:09 /learner.py:612 [LEARNER] Number of optimization step: 934
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+INFO 2025-08-05 14:14:10 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:14:10 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:14:10 /learner.py:612 [LEARNER] Number of optimization step: 935
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+INFO 2025-08-05 14:14:12 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:14:12 /learner.py:612 [LEARNER] Number of optimization step: 936
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+INFO 2025-08-05 14:14:13 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:14:14 /learner.py:612 [LEARNER] Number of optimization step: 937
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+DEBUG 2025-08-05 14:14:14 rt/utils.py:104 [LEARNER] transitions Queue updated
+INFO 2025-08-05 14:14:15 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:15 learner.py:1127 [LEARNER] Pushing actor policy to the queue
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+INFO 2025-08-05 14:14:15 /learner.py:612 [LEARNER] Number of optimization step: 938
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+INFO 2025-08-05 14:14:18 /learner.py:612 [LEARNER] Number of optimization step: 939
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+INFO 2025-08-05 14:14:20 /learner.py:612 [LEARNER] Number of optimization step: 940
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+INFO 2025-08-05 14:14:21 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:14:21 /learner.py:612 [LEARNER] Number of optimization step: 941
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+INFO 2025-08-05 14:14:23 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:14:23 /learner.py:612 [LEARNER] Number of optimization step: 942
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+INFO 2025-08-05 14:14:24 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:14:25 /learner.py:612 [LEARNER] Number of optimization step: 943
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+DEBUG 2025-08-05 14:14:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:14:32 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:32 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:33 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:34 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:34 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:34 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5344518032756369
+INFO 2025-08-05 14:14:34 /learner.py:612 [LEARNER] Number of optimization step: 948
+DEBUG 2025-08-05 14:14:34 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:14:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:34 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:34 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:35 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:36 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:36 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:36 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5458542224191512
+INFO 2025-08-05 14:14:36 /learner.py:612 [LEARNER] Number of optimization step: 949
+DEBUG 2025-08-05 14:14:36 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:14:36 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:36 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:37 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:37 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:37 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:37 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5611342488826535
+INFO 2025-08-05 14:14:37 /learner.py:612 [LEARNER] Number of optimization step: 950
+DEBUG 2025-08-05 14:14:37 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:14:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:14:38 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:38 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:39 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:39 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:39 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:39 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5589712579334122
+INFO 2025-08-05 14:14:39 /learner.py:612 [LEARNER] Number of optimization step: 951
+DEBUG 2025-08-05 14:14:39 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:14:39 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:39 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:40 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:41 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:41 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:41 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5914347722533897
+INFO 2025-08-05 14:14:41 /learner.py:612 [LEARNER] Number of optimization step: 952
+DEBUG 2025-08-05 14:14:41 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:14:41 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:41 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:42 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:43 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:43 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:43 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5559807806401279
+INFO 2025-08-05 14:14:43 /learner.py:612 [LEARNER] Number of optimization step: 953
+DEBUG 2025-08-05 14:14:43 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:14:43 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:43 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:44 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:44 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:44 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:44 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6170644949569364
+INFO 2025-08-05 14:14:44 /learner.py:612 [LEARNER] Number of optimization step: 954
+DEBUG 2025-08-05 14:14:44 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:14:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+INFO 2025-08-05 14:14:45 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:46 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:46 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:46 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:46 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6159157900341449
+INFO 2025-08-05 14:14:46 /learner.py:612 [LEARNER] Number of optimization step: 955
+DEBUG 2025-08-05 14:14:46 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:14:46 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:46 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:47 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:47 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:48 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:48 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.586065615803826
+INFO 2025-08-05 14:14:48 /learner.py:612 [LEARNER] Number of optimization step: 956
+DEBUG 2025-08-05 14:14:48 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:14:48 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:48 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:49 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:49 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:49 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:49 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6744142029587661
+INFO 2025-08-05 14:14:49 /learner.py:612 [LEARNER] Number of optimization step: 957
+DEBUG 2025-08-05 14:14:49 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:14:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:14:49 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:49 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:50 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:51 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:51 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:51 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5895384051411355
+INFO 2025-08-05 14:14:51 /learner.py:612 [LEARNER] Number of optimization step: 958
+DEBUG 2025-08-05 14:14:51 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:14:51 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:51 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:52 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:52 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:52 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:52 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6307656581194706
+INFO 2025-08-05 14:14:52 /learner.py:612 [LEARNER] Number of optimization step: 959
+DEBUG 2025-08-05 14:14:52 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:14:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:14:53 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:53 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:54 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:54 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:54 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:54 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6073880193145861
+INFO 2025-08-05 14:14:54 /learner.py:612 [LEARNER] Number of optimization step: 960
+DEBUG 2025-08-05 14:14:54 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:14:54 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:54 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:55 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:55 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:55 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:56 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6661391722122905
+INFO 2025-08-05 14:14:56 /learner.py:612 [LEARNER] Number of optimization step: 961
+DEBUG 2025-08-05 14:14:56 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:14:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:56 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:56 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:57 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:57 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:57 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:57 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6311551977525556
+INFO 2025-08-05 14:14:57 /learner.py:612 [LEARNER] Number of optimization step: 962
+DEBUG 2025-08-05 14:14:57 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:14:57 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:57 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:14:58 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:14:59 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:14:59 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:14:59 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5447658855434349
+INFO 2025-08-05 14:14:59 /learner.py:612 [LEARNER] Number of optimization step: 963
+DEBUG 2025-08-05 14:14:59 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:14:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:14:59 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:14:59 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:00 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:00 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:00 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:01 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6278179216551908
+INFO 2025-08-05 14:15:01 /learner.py:612 [LEARNER] Number of optimization step: 964
+DEBUG 2025-08-05 14:15:01 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:15:01 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:01 r_service.py:83 [LEARNER] Parameters sent
+DEBUG 2025-08-05 14:15:02 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:02 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:02 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 14:15:02 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.826538596600805
+INFO 2025-08-05 14:15:02 /learner.py:612 [LEARNER] Number of optimization step: 965
+DEBUG 2025-08-05 14:15:02 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:15:02 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:02 r_service.py:83 [LEARNER] Parameters sent
+DEBUG 2025-08-05 14:15:03 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:03 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:03 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 14:15:03 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7829813029096527
+INFO 2025-08-05 14:15:03 /learner.py:612 [LEARNER] Number of optimization step: 966
+DEBUG 2025-08-05 14:15:03 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:15:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:07 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:07 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:08 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:08 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:08 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:09 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6498409209401047
+INFO 2025-08-05 14:15:09 /learner.py:612 [LEARNER] Number of optimization step: 969
+DEBUG 2025-08-05 14:15:09 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:15:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:09 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:09 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:10 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:10 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:10 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:10 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6185347595182675
+INFO 2025-08-05 14:15:10 /learner.py:612 [LEARNER] Number of optimization step: 970
+DEBUG 2025-08-05 14:15:10 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:15:10 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:10 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:11 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:12 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:12 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:12 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6303227904468738
+INFO 2025-08-05 14:15:12 /learner.py:612 [LEARNER] Number of optimization step: 971
+DEBUG 2025-08-05 14:15:12 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:15:12 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:12 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:13 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:13 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:13 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:13 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6314036569308541
+INFO 2025-08-05 14:15:13 /learner.py:612 [LEARNER] Number of optimization step: 972
+DEBUG 2025-08-05 14:15:13 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:15:13 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:13 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:14 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:15 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:15 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:15 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6089905990000019
+INFO 2025-08-05 14:15:15 /learner.py:612 [LEARNER] Number of optimization step: 973
+DEBUG 2025-08-05 14:15:15 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:15:15 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:15 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:16 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:16 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:16 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:16 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6473240780135545
+INFO 2025-08-05 14:15:16 /learner.py:612 [LEARNER] Number of optimization step: 974
+DEBUG 2025-08-05 14:15:17 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:15:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:17 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:17 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:18 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:18 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:18 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:18 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6318700336264489
+INFO 2025-08-05 14:15:18 /learner.py:612 [LEARNER] Number of optimization step: 975
+DEBUG 2025-08-05 14:15:18 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:15:18 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:18 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:19 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:20 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:20 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:20 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6031896550937197
+INFO 2025-08-05 14:15:20 /learner.py:612 [LEARNER] Number of optimization step: 976
+DEBUG 2025-08-05 14:15:20 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:15:20 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:20 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:21 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:21 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:21 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:21 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.63807620994437
+INFO 2025-08-05 14:15:21 /learner.py:612 [LEARNER] Number of optimization step: 977
+DEBUG 2025-08-05 14:15:21 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:15:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:21 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:21 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:22 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:23 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:23 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:23 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5932962940215847
+INFO 2025-08-05 14:15:23 /learner.py:612 [LEARNER] Number of optimization step: 978
+DEBUG 2025-08-05 14:15:23 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:15:23 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:23 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:24 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:24 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:24 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:25 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6481236984816975
+INFO 2025-08-05 14:15:25 /learner.py:612 [LEARNER] Number of optimization step: 979
+DEBUG 2025-08-05 14:15:25 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:15:25 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:25 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:26 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:26 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:26 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:26 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5727753676916663
+INFO 2025-08-05 14:15:26 /learner.py:612 [LEARNER] Number of optimization step: 980
+DEBUG 2025-08-05 14:15:26 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:15:26 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:26 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:27 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:28 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:28 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:28 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.556951018773888
+INFO 2025-08-05 14:15:28 /learner.py:612 [LEARNER] Number of optimization step: 981
+DEBUG 2025-08-05 14:15:28 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:15:28 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:28 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:29 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:30 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:30 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:30 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6382762369088479
+INFO 2025-08-05 14:15:30 /learner.py:612 [LEARNER] Number of optimization step: 982
+DEBUG 2025-08-05 14:15:30 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:15:30 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:30 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:31 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:31 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:31 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6341415250709226
+INFO 2025-08-05 14:15:31 /learner.py:612 [LEARNER] Number of optimization step: 983
+DEBUG 2025-08-05 14:15:31 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:15:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:31 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:31 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:32 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:33 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:33 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6163266825740513
+INFO 2025-08-05 14:15:33 /learner.py:612 [LEARNER] Number of optimization step: 984
+DEBUG 2025-08-05 14:15:33 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:15:33 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:34 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:35 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:35 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5527903540569129
+INFO 2025-08-05 14:15:35 /learner.py:612 [LEARNER] Number of optimization step: 985
+DEBUG 2025-08-05 14:15:35 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:15:35 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:35 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:36 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:36 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:36 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:36 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5475712065397926
+INFO 2025-08-05 14:15:36 /learner.py:612 [LEARNER] Number of optimization step: 986
+DEBUG 2025-08-05 14:15:37 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:15:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:15:37 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:15:37 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:15:38 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:15:38 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:15:38 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:15:38 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7206155674285989
+INFO 2025-08-05 14:15:38 /learner.py:612 [LEARNER] Number of optimization step: 987
+DEBUG 2025-08-05 14:15:38 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+DEBUG 2025-08-05 14:16:20 ort/utils.py:76 [LEARNER] transitions Received item
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+DEBUG 2025-08-05 14:16:20 ort/utils.py:76 [LEARNER] transitions Received item
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+DEBUG 2025-08-05 14:16:20 rt/utils.py:104 [LEARNER] transitions Queue updated
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+DEBUG 2025-08-05 14:16:20 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:16:20 /learner.py:612 [LEARNER] Number of optimization step: 1009
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+INFO 2025-08-05 14:16:24 /learner.py:612 [LEARNER] Number of optimization step: 1011
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+INFO 2025-08-05 14:16:25 /learner.py:612 [LEARNER] Number of optimization step: 1012
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+INFO 2025-08-05 14:16:27 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:16:27 /learner.py:612 [LEARNER] Number of optimization step: 1013
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+INFO 2025-08-05 14:16:28 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:16:29 /learner.py:612 [LEARNER] Number of optimization step: 1014
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+INFO 2025-08-05 14:16:29 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:16:30 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:16:31 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:16:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:16:31 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6437088690483636
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+INFO 2025-08-05 14:17:06 /learner.py:612 [LEARNER] Number of optimization step: 1035
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+INFO 2025-08-05 14:17:09 /learner.py:612 [LEARNER] Number of optimization step: 1037
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+INFO 2025-08-05 14:17:10 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:17:11 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:17:11 /learner.py:612 [LEARNER] Number of optimization step: 1038
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+INFO 2025-08-05 14:17:12 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:17:13 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:17:13 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:17:13 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.551753386701468
+INFO 2025-08-05 14:17:13 /learner.py:612 [LEARNER] Number of optimization step: 1039
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+DEBUG 2025-08-05 14:17:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:17:13 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:17:14 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:17:14 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:17:14 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:17:14 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.555387403321799
+INFO 2025-08-05 14:17:14 /learner.py:612 [LEARNER] Number of optimization step: 1040
+DEBUG 2025-08-05 14:17:15 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:17:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:17:40 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:17:40 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:17:41 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:17:42 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:17:42 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:17:42 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5348990598187126
+INFO 2025-08-05 14:17:42 /learner.py:612 [LEARNER] Number of optimization step: 1056
+DEBUG 2025-08-05 14:17:42 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:17:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:17:42 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:17:42 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:17:43 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:17:44 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:17:44 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:17:44 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5481714888757355
+INFO 2025-08-05 14:17:44 /learner.py:612 [LEARNER] Number of optimization step: 1057
+DEBUG 2025-08-05 14:17:44 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:17:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:17:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:17:44 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:17:44 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:17:45 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:17:46 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:17:46 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:17:46 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.544515597049253
+INFO 2025-08-05 14:17:46 /learner.py:612 [LEARNER] Number of optimization step: 1058
+DEBUG 2025-08-05 14:17:46 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:17:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:17:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:17:46 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:17:46 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:17:47 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:17:47 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:17:47 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:17:48 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5468240544086291
+INFO 2025-08-05 14:17:48 /learner.py:612 [LEARNER] Number of optimization step: 1059
+DEBUG 2025-08-05 14:17:48 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:17:48 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:17:48 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:17:49 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:17:49 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:17:49 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:17:49 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.536117019670178
+INFO 2025-08-05 14:17:49 /learner.py:612 [LEARNER] Number of optimization step: 1060
+DEBUG 2025-08-05 14:17:49 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:17:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:17:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:17:50 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:17:50 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:17:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:17:51 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:17:51 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:17:51 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5434574419988785
+INFO 2025-08-05 14:17:51 /learner.py:612 [LEARNER] Number of optimization step: 1061
+DEBUG 2025-08-05 14:17:51 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:17:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:17:51 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:17:51 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:17:52 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:17:53 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:17:53 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:17:53 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5414089058703713
+INFO 2025-08-05 14:17:53 /learner.py:612 [LEARNER] Number of optimization step: 1062
+DEBUG 2025-08-05 14:17:53 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:17:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:17:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:17:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
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+INFO 2025-08-05 14:17:53 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:17:54 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:17:55 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:17:55 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:17:55 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.545121522189425
+INFO 2025-08-05 14:17:55 /learner.py:612 [LEARNER] Number of optimization step: 1063
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+INFO 2025-08-05 14:17:56 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:17:57 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:17:57 /learner.py:612 [LEARNER] Number of optimization step: 1064
+DEBUG 2025-08-05 14:17:57 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+DEBUG 2025-08-05 14:17:57 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:17:57 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:17:58 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:17:58 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:17:58 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:17:59 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5637647072090923
+INFO 2025-08-05 14:17:59 /learner.py:612 [LEARNER] Number of optimization step: 1065
+DEBUG 2025-08-05 14:17:59 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:17:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:17:59 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:17:59 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:18:00 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:18:00 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:18:00 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:18:00 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5798761606972586
+INFO 2025-08-05 14:18:00 /learner.py:612 [LEARNER] Number of optimization step: 1066
+DEBUG 2025-08-05 14:18:00 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:18:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:18:00 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:18:00 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:18:01 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:18:02 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:18:02 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:18:02 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7223069018655874
+INFO 2025-08-05 14:18:02 /learner.py:612 [LEARNER] Number of optimization step: 1067
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+DEBUG 2025-08-05 14:18:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:18:02 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:18:03 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:18:03 ort/utils.py:76 [LEARNER] interactions Received item
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+DEBUG 2025-08-05 14:18:03 rt/utils.py:104 [LEARNER] interactions Queue updated
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+DEBUG 2025-08-05 14:18:03 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:18:03 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6414169971610412
+INFO 2025-08-05 14:18:03 /learner.py:612 [LEARNER] Number of optimization step: 1068
+DEBUG 2025-08-05 14:18:03 ort/utils.py:76 [LEARNER] transitions Received item
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+INFO 2025-08-05 14:18:42 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:18:43 /learner.py:612 [LEARNER] Number of optimization step: 1090
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+INFO 2025-08-05 14:18:44 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:18:45 /learner.py:612 [LEARNER] Number of optimization step: 1091
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+INFO 2025-08-05 14:18:45 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:18:46 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:18:46 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:18:47 /learner.py:612 [LEARNER] Number of optimization step: 1092
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+DEBUG 2025-08-05 14:18:57 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:18:57 /learner.py:612 [LEARNER] Number of optimization step: 1098
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+INFO 2025-08-05 14:19:02 /learner.py:612 [LEARNER] Number of optimization step: 1101
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+INFO 2025-08-05 14:19:13 /learner.py:612 [LEARNER] Number of optimization step: 1107
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+DEBUG 2025-08-05 14:19:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:19:49 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:19:49 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:19:50 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:19:50 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:19:50 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:19:50 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6535798115599335
+INFO 2025-08-05 14:19:50 /learner.py:612 [LEARNER] Number of optimization step: 1128
+DEBUG 2025-08-05 14:19:50 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:19:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:19:50 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:19:50 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:19:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:19:52 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:19:52 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:19:52 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5800222668109855
+INFO 2025-08-05 14:19:52 /learner.py:612 [LEARNER] Number of optimization step: 1129
+DEBUG 2025-08-05 14:19:52 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:19:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:19:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:19:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:19:52 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:19:52 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:19:53 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:19:54 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:19:54 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:19:54 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5393756167343616
+INFO 2025-08-05 14:19:54 /learner.py:612 [LEARNER] Number of optimization step: 1130
+DEBUG 2025-08-05 14:19:54 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:19:54 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:19:54 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:19:55 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:19:55 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:19:55 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:19:55 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5449139461764942
+INFO 2025-08-05 14:19:55 /learner.py:612 [LEARNER] Number of optimization step: 1131
+DEBUG 2025-08-05 14:19:56 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:19:56 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:19:56 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:19:57 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:19:57 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:19:57 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:19:57 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5340503057974039
+INFO 2025-08-05 14:19:57 /learner.py:612 [LEARNER] Number of optimization step: 1132
+DEBUG 2025-08-05 14:19:57 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:19:58 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:19:58 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:19:59 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:19:59 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:19:59 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:19:59 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6206134064970227
+INFO 2025-08-05 14:19:59 /learner.py:612 [LEARNER] Number of optimization step: 1133
+DEBUG 2025-08-05 14:19:59 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:19:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:19:59 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:19:59 r_service.py:83 [LEARNER] Parameters sent
+DEBUG 2025-08-05 14:20:00 ort/utils.py:76 [LEARNER] interactions Received item
+DEBUG 2025-08-05 14:20:00 ort/utils.py:93 [LEARNER] interactions Received data at step end size 192
+DEBUG 2025-08-05 14:20:00 rt/utils.py:104 [LEARNER] interactions Queue updated
+DEBUG 2025-08-05 14:20:00 ort/utils.py:76 [LEARNER] transitions Received item
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+INFO 2025-08-05 14:20:32 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:20:34 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:20:34 /learner.py:612 [LEARNER] Number of optimization step: 1153
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+INFO 2025-08-05 14:20:35 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:20:36 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:20:36 /learner.py:612 [LEARNER] Number of optimization step: 1154
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+INFO 2025-08-05 14:20:47 /learner.py:612 [LEARNER] Number of optimization step: 1161
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+INFO 2025-08-05 14:20:48 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:20:49 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:20:49 /learner.py:612 [LEARNER] Number of optimization step: 1162
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+DEBUG 2025-08-05 14:20:49 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:20:49 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:20:50 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:20:50 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:20:50 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:20:50 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6032186295431615
+INFO 2025-08-05 14:20:50 /learner.py:612 [LEARNER] Number of optimization step: 1163
+DEBUG 2025-08-05 14:20:50 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:20:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:20:50 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:20:50 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:20:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:20:52 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:20:52 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:20:52 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5910560560001131
+INFO 2025-08-05 14:20:52 /learner.py:612 [LEARNER] Number of optimization step: 1164
+DEBUG 2025-08-05 14:20:52 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:20:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:20:52 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:20:52 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:20:53 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:21:09 /learner.py:612 [LEARNER] Number of optimization step: 1175
+DEBUG 2025-08-05 14:21:09 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+INFO 2025-08-05 14:21:09 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:21:10 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:21:10 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:21:10 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:21:11 /learner.py:612 [LEARNER] Number of optimization step: 1176
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+INFO 2025-08-05 14:21:12 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:21:12 /learner.py:612 [LEARNER] Number of optimization step: 1177
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+INFO 2025-08-05 14:21:13 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:21:14 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:21:14 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:21:14 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6270398430525693
+INFO 2025-08-05 14:21:14 /learner.py:612 [LEARNER] Number of optimization step: 1178
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+DEBUG 2025-08-05 14:21:14 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:21:14 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:21:15 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:21:15 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:21:15 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:21:15 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.598643486754097
+INFO 2025-08-05 14:21:15 /learner.py:612 [LEARNER] Number of optimization step: 1179
+DEBUG 2025-08-05 14:21:15 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:21:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:21:15 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:21:15 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:21:16 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:21:17 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:21:17 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:21:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6229662417149326
+INFO 2025-08-05 14:21:17 /learner.py:612 [LEARNER] Number of optimization step: 1180
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+DEBUG 2025-08-05 14:21:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:21:49 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:21:50 /learner.py:612 [LEARNER] Number of optimization step: 1200
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+INFO 2025-08-05 14:21:51 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:21:52 /learner.py:612 [LEARNER] Number of optimization step: 1201
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+INFO 2025-08-05 14:22:45 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:22:46 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:22:46 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:22:46 /learner.py:612 [LEARNER] Number of optimization step: 1233
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+INFO 2025-08-05 14:22:50 /learner.py:612 [LEARNER] Number of optimization step: 1235
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+DEBUG 2025-08-05 14:22:50 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
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+INFO 2025-08-05 14:22:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:22:51 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:22:51 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:22:52 /learner.py:612 [LEARNER] Number of optimization step: 1236
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+DEBUG 2025-08-05 14:22:52 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:22:52 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:22:53 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:22:53 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:22:53 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:22:53 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6280976187279874
+INFO 2025-08-05 14:22:53 /learner.py:612 [LEARNER] Number of optimization step: 1237
+DEBUG 2025-08-05 14:22:53 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:22:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:22:53 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:22:53 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:22:54 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:22:55 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:22:55 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:22:55 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5805705398229389
+INFO 2025-08-05 14:22:55 /learner.py:612 [LEARNER] Number of optimization step: 1238
+DEBUG 2025-08-05 14:22:55 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:22:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:22:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:22:55 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:22:55 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:22:56 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:22:57 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:22:57 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:22:57 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5536771115828948
+INFO 2025-08-05 14:22:57 /learner.py:612 [LEARNER] Number of optimization step: 1239
+DEBUG 2025-08-05 14:22:57 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:57 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:22:57 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:22:57 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:22:58 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:22:58 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:22:58 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:22:58 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5811155026142933
+INFO 2025-08-05 14:22:58 /learner.py:612 [LEARNER] Number of optimization step: 1240
+DEBUG 2025-08-05 14:22:58 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:22:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:22:59 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:22:59 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:00 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:00 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:00 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:00 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5875421237499938
+INFO 2025-08-05 14:23:00 /learner.py:612 [LEARNER] Number of optimization step: 1241
+DEBUG 2025-08-05 14:23:00 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:23:00 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:00 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:01 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:02 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:02 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:02 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6270095661166302
+INFO 2025-08-05 14:23:02 /learner.py:612 [LEARNER] Number of optimization step: 1242
+DEBUG 2025-08-05 14:23:02 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:23:02 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:02 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:03 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:03 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:03 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:03 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6230695191179878
+INFO 2025-08-05 14:23:03 /learner.py:612 [LEARNER] Number of optimization step: 1243
+DEBUG 2025-08-05 14:23:03 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:23:03 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:03 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:04 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:05 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:05 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:05 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5560740988172623
+INFO 2025-08-05 14:23:05 /learner.py:612 [LEARNER] Number of optimization step: 1244
+DEBUG 2025-08-05 14:23:05 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:23:05 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:05 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:06 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:07 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:07 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:07 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6040795889137835
+INFO 2025-08-05 14:23:07 /learner.py:612 [LEARNER] Number of optimization step: 1245
+DEBUG 2025-08-05 14:23:07 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:23:07 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:07 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:08 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:08 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:08 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:08 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7148418807332948
+INFO 2025-08-05 14:23:08 /learner.py:612 [LEARNER] Number of optimization step: 1246
+DEBUG 2025-08-05 14:23:08 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:23:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:23:08 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:08 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:09 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:10 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:10 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:10 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5219319337359813
+INFO 2025-08-05 14:23:10 /learner.py:612 [LEARNER] Number of optimization step: 1247
+DEBUG 2025-08-05 14:23:10 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:23:10 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:10 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:11 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:12 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:12 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:12 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5485089911813871
+INFO 2025-08-05 14:23:12 /learner.py:612 [LEARNER] Number of optimization step: 1248
+DEBUG 2025-08-05 14:23:12 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:23:12 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:12 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:13 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:14 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:14 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:14 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5153281818795481
+INFO 2025-08-05 14:23:14 /learner.py:612 [LEARNER] Number of optimization step: 1249
+DEBUG 2025-08-05 14:23:14 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:23:14 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:14 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:15 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:16 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:16 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:16 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.4743631732223388
+INFO 2025-08-05 14:23:16 /learner.py:612 [LEARNER] Number of optimization step: 1250
+DEBUG 2025-08-05 14:23:16 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:23:16 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:16 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:17 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:18 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:18 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:18 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5809134052414525
+INFO 2025-08-05 14:23:18 /learner.py:612 [LEARNER] Number of optimization step: 1251
+DEBUG 2025-08-05 14:23:18 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:18 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
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+INFO 2025-08-05 14:23:29 /learner.py:612 [LEARNER] Number of optimization step: 1257
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+INFO 2025-08-05 14:23:32 /learner.py:612 [LEARNER] Number of optimization step: 1259
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+DEBUG 2025-08-05 14:23:33 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:34 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:34 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:34 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:34 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5708119568960479
+INFO 2025-08-05 14:23:34 /learner.py:612 [LEARNER] Number of optimization step: 1260
+DEBUG 2025-08-05 14:23:34 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:23:34 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:34 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:35 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:36 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:36 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:36 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5675435437155535
+INFO 2025-08-05 14:23:36 /learner.py:612 [LEARNER] Number of optimization step: 1261
+DEBUG 2025-08-05 14:23:36 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:23:36 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:36 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:37 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:38 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:38 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:38 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5798768822260322
+INFO 2025-08-05 14:23:38 /learner.py:612 [LEARNER] Number of optimization step: 1262
+DEBUG 2025-08-05 14:23:38 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:23:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:38 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:38 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:38 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:39 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:39 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:39 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:40 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5651820279252254
+INFO 2025-08-05 14:23:40 /learner.py:612 [LEARNER] Number of optimization step: 1263
+DEBUG 2025-08-05 14:23:40 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:23:40 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:40 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:41 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:41 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:41 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:41 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5725859072710683
+INFO 2025-08-05 14:23:41 /learner.py:612 [LEARNER] Number of optimization step: 1264
+DEBUG 2025-08-05 14:23:41 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:41 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:23:41 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:41 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:42 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:43 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:43 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:43 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6075147924274871
+INFO 2025-08-05 14:23:43 /learner.py:612 [LEARNER] Number of optimization step: 1265
+DEBUG 2025-08-05 14:23:43 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:43 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:43 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:43 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:44 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:44 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:44 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:45 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6130065172790364
+INFO 2025-08-05 14:23:45 /learner.py:612 [LEARNER] Number of optimization step: 1266
+DEBUG 2025-08-05 14:23:45 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:45 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:23:45 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:45 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:46 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:46 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:46 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:46 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5520951701076672
+INFO 2025-08-05 14:23:46 /learner.py:612 [LEARNER] Number of optimization step: 1267
+DEBUG 2025-08-05 14:23:46 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:23:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:47 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:47 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:47 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:48 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:48 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:48 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:48 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5629806763759729
+INFO 2025-08-05 14:23:48 /learner.py:612 [LEARNER] Number of optimization step: 1268
+DEBUG 2025-08-05 14:23:48 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:23:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:23:48 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:48 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:49 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:50 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:50 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:50 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.4703151082461944
+INFO 2025-08-05 14:23:50 /learner.py:612 [LEARNER] Number of optimization step: 1269
+DEBUG 2025-08-05 14:23:50 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:50 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:23:50 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:50 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:51 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:52 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:52 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:52 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6008912714160779
+INFO 2025-08-05 14:23:52 /learner.py:612 [LEARNER] Number of optimization step: 1270
+DEBUG 2025-08-05 14:23:52 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:52 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:52 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:52 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:53 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:53 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:53 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:53 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6989508327007938
+INFO 2025-08-05 14:23:53 /learner.py:612 [LEARNER] Number of optimization step: 1271
+DEBUG 2025-08-05 14:23:53 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:23:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:23:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:23:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:23:54 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:23:54 r_service.py:83 [LEARNER] Parameters sent
+DEBUG 2025-08-05 14:23:54 ort/utils.py:76 [LEARNER] interactions Received item
+DEBUG 2025-08-05 14:23:54 ort/utils.py:93 [LEARNER] interactions Received data at step end size 192
+DEBUG 2025-08-05 14:23:54 rt/utils.py:104 [LEARNER] interactions Queue updated
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+INFO 2025-08-05 14:23:58 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:23:59 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:23:59 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:23:59 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:23:59 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6331619357084282
+INFO 2025-08-05 14:23:59 /learner.py:612 [LEARNER] Number of optimization step: 1274
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+INFO 2025-08-05 14:24:00 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:01 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:01 learner.py:1127 [LEARNER] Pushing actor policy to the queue
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+INFO 2025-08-05 14:24:01 /learner.py:612 [LEARNER] Number of optimization step: 1275
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+DEBUG 2025-08-05 14:24:03 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:24:03 /learner.py:612 [LEARNER] Number of optimization step: 1276
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+DEBUG 2025-08-05 14:24:03 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:03 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:04 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:05 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:05 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:05 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6739868910169705
+INFO 2025-08-05 14:24:05 /learner.py:612 [LEARNER] Number of optimization step: 1277
+DEBUG 2025-08-05 14:24:05 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+DEBUG 2025-08-05 14:24:05 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:05 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:06 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:07 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:07 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:07 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5642868373467861
+INFO 2025-08-05 14:24:07 /learner.py:612 [LEARNER] Number of optimization step: 1278
+DEBUG 2025-08-05 14:24:07 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:24:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:24:07 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:07 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:08 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:08 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:08 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:24:08 /learner.py:612 [LEARNER] Number of optimization step: 1279
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+DEBUG 2025-08-05 14:24:25 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:25 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:26 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:26 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:26 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:26 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6100323999779128
+INFO 2025-08-05 14:24:26 /learner.py:612 [LEARNER] Number of optimization step: 1290
+DEBUG 2025-08-05 14:24:26 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:24:26 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:26 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:27 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:28 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:28 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:28 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5794243555227362
+INFO 2025-08-05 14:24:28 /learner.py:612 [LEARNER] Number of optimization step: 1291
+DEBUG 2025-08-05 14:24:28 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:24:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:28 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:28 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:29 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:30 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:30 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:30 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5748800292310623
+INFO 2025-08-05 14:24:30 /learner.py:612 [LEARNER] Number of optimization step: 1292
+DEBUG 2025-08-05 14:24:30 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:24:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:24:30 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:30 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:31 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:31 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:32 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5689053242252465
+INFO 2025-08-05 14:24:32 /learner.py:612 [LEARNER] Number of optimization step: 1293
+DEBUG 2025-08-05 14:24:32 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:24:32 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:32 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:33 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:33 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:33 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.577780746800721
+INFO 2025-08-05 14:24:33 /learner.py:612 [LEARNER] Number of optimization step: 1294
+DEBUG 2025-08-05 14:24:33 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:24:33 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:34 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:35 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:35 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5846170440102126
+INFO 2025-08-05 14:24:35 /learner.py:612 [LEARNER] Number of optimization step: 1295
+DEBUG 2025-08-05 14:24:35 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:24:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:24:35 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:35 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:36 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:37 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:37 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:37 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.574950795179712
+INFO 2025-08-05 14:24:37 /learner.py:612 [LEARNER] Number of optimization step: 1296
+DEBUG 2025-08-05 14:24:37 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:24:37 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:37 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:38 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:38 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:38 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:38 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5737525715553309
+INFO 2025-08-05 14:24:38 /learner.py:612 [LEARNER] Number of optimization step: 1297
+DEBUG 2025-08-05 14:24:39 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:24:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:39 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:39 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:39 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:40 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:40 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:40 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:40 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5887452252181173
+INFO 2025-08-05 14:24:40 /learner.py:612 [LEARNER] Number of optimization step: 1298
+DEBUG 2025-08-05 14:24:40 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:24:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:40 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:40 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:40 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:41 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:42 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:42 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:42 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5076844341569414
+INFO 2025-08-05 14:24:42 /learner.py:612 [LEARNER] Number of optimization step: 1299
+DEBUG 2025-08-05 14:24:42 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:42 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:24:42 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:42 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:43 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:44 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:44 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:44 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5723023810228228
+INFO 2025-08-05 14:24:44 /learner.py:612 [LEARNER] Number of optimization step: 1300
+DEBUG 2025-08-05 14:24:44 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:44 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:24:44 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:44 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:45 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:46 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:46 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:46 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5527729421944078
+INFO 2025-08-05 14:24:46 /learner.py:612 [LEARNER] Number of optimization step: 1301
+DEBUG 2025-08-05 14:24:46 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:46 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:24:46 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:46 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:47 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:47 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:47 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:47 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5639638429958003
+INFO 2025-08-05 14:24:47 /learner.py:612 [LEARNER] Number of optimization step: 1302
+DEBUG 2025-08-05 14:24:48 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:24:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:48 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:48 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:48 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:49 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:49 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:49 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:49 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.563348999716619
+INFO 2025-08-05 14:24:49 /learner.py:612 [LEARNER] Number of optimization step: 1303
+DEBUG 2025-08-05 14:24:49 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:24:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:49 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:49 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:49 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:50 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:51 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:51 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:51 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6140912448596008
+INFO 2025-08-05 14:24:51 /learner.py:612 [LEARNER] Number of optimization step: 1304
+DEBUG 2025-08-05 14:24:51 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:51 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:24:51 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:51 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:52 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:53 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:53 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:53 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5585422806977974
+INFO 2025-08-05 14:24:53 /learner.py:612 [LEARNER] Number of optimization step: 1305
+DEBUG 2025-08-05 14:24:53 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:53 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:24:53 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:53 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:24:54 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:54 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:54 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:54 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6899439805938393
+INFO 2025-08-05 14:24:54 /learner.py:612 [LEARNER] Number of optimization step: 1306
+DEBUG 2025-08-05 14:24:54 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:24:54 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:54 r_service.py:83 [LEARNER] Parameters sent
+DEBUG 2025-08-05 14:24:55 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:55 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:55 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 14:24:55 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.8227169536158329
+INFO 2025-08-05 14:24:55 /learner.py:612 [LEARNER] Number of optimization step: 1307
+DEBUG 2025-08-05 14:24:55 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:24:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:24:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:55 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:24:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:24:56 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:24:56 r_service.py:83 [LEARNER] Parameters sent
+DEBUG 2025-08-05 14:24:56 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:24:56 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:24:57 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7995011955711242
+INFO 2025-08-05 14:24:57 /learner.py:612 [LEARNER] Number of optimization step: 1308
+INFO 2025-08-05 14:24:57 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:24:57 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+INFO 2025-08-05 14:25:09 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:10 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:10 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:11 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:11 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6116981337463069
+INFO 2025-08-05 14:25:11 /learner.py:612 [LEARNER] Number of optimization step: 1316
+DEBUG 2025-08-05 14:25:11 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:25:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:25:11 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:11 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:12 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:12 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:12 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:25:12 /learner.py:612 [LEARNER] Number of optimization step: 1317
+DEBUG 2025-08-05 14:25:12 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:25:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:25:13 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:13 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:14 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:14 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:14 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:14 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5646526154056972
+INFO 2025-08-05 14:25:14 /learner.py:612 [LEARNER] Number of optimization step: 1318
+DEBUG 2025-08-05 14:25:14 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:25:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:25:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:14 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:14 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:14 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:15 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:16 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:16 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:16 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6990909804245045
+INFO 2025-08-05 14:25:16 /learner.py:612 [LEARNER] Number of optimization step: 1319
+DEBUG 2025-08-05 14:25:16 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:16 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:25:16 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:16 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:17 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:17 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:17 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.799518112070548
+INFO 2025-08-05 14:25:17 /learner.py:612 [LEARNER] Number of optimization step: 1320
+DEBUG 2025-08-05 14:25:17 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:25:17 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:17 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:18 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:18 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:18 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:18 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6107071003079244
+INFO 2025-08-05 14:25:18 /learner.py:612 [LEARNER] Number of optimization step: 1321
+DEBUG 2025-08-05 14:25:19 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:19 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:19 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:20 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:20 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:20 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:20 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6198406142923348
+INFO 2025-08-05 14:25:20 /learner.py:612 [LEARNER] Number of optimization step: 1322
+DEBUG 2025-08-05 14:25:20 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:25:20 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 14:25:20 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:21 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:22 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:22 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:25:22 /learner.py:612 [LEARNER] Number of optimization step: 1323
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+DEBUG 2025-08-05 14:25:22 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:25:22 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:22 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:23 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:23 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:23 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:23 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7272016100869276
+INFO 2025-08-05 14:25:23 /learner.py:612 [LEARNER] Number of optimization step: 1324
+DEBUG 2025-08-05 14:25:23 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:25:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:25:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:23 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:23 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:24 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:25 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:25 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:25 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6124195341293032
+INFO 2025-08-05 14:25:25 /learner.py:612 [LEARNER] Number of optimization step: 1325
+DEBUG 2025-08-05 14:25:25 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:25:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:25:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:25 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:25 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:26 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:26 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:26 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:26 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6267003090050229
+INFO 2025-08-05 14:25:26 /learner.py:612 [LEARNER] Number of optimization step: 1326
+DEBUG 2025-08-05 14:25:26 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:25:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:25:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:27 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:27 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:28 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:28 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:28 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:28 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5778267543019305
+INFO 2025-08-05 14:25:28 /learner.py:612 [LEARNER] Number of optimization step: 1327
+DEBUG 2025-08-05 14:25:28 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:25:28 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:28 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:29 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:30 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:30 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:30 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5990257464553076
+INFO 2025-08-05 14:25:30 /learner.py:612 [LEARNER] Number of optimization step: 1328
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+INFO 2025-08-05 14:25:31 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:25:31 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:25:32 /learner.py:612 [LEARNER] Number of optimization step: 1329
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+INFO 2025-08-05 14:25:32 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:33 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:33 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:33 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:25:33 /learner.py:612 [LEARNER] Number of optimization step: 1330
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+DEBUG 2025-08-05 14:25:33 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:34 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:35 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:35 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:35 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7106871014250433
+INFO 2025-08-05 14:25:35 /learner.py:612 [LEARNER] Number of optimization step: 1331
+DEBUG 2025-08-05 14:25:35 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:25:35 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:25:35 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:35 r_service.py:83 [LEARNER] Parameters sent
+DEBUG 2025-08-05 14:25:36 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:36 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:36 r_service.py:67 [LEARNER] Push parameters to the Actor
+INFO 2025-08-05 14:25:36 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7988660498630965
+INFO 2025-08-05 14:25:36 /learner.py:612 [LEARNER] Number of optimization step: 1332
+DEBUG 2025-08-05 14:25:36 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:25:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:25:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:25:36 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:36 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:37 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:37 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:37 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:37 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.7792276018921712
+INFO 2025-08-05 14:25:37 /learner.py:612 [LEARNER] Number of optimization step: 1333
+DEBUG 2025-08-05 14:25:37 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:25:37 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:25:37 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:25:37 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:25:38 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:25:39 ort/utils.py:76 [LEARNER] interactions Received item
+DEBUG 2025-08-05 14:25:39 ort/utils.py:93 [LEARNER] interactions Received data at step end size 192
+DEBUG 2025-08-05 14:25:39 rt/utils.py:104 [LEARNER] interactions Queue updated
+DEBUG 2025-08-05 14:25:39 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:25:39 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:25:39 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5752187287719843
+INFO 2025-08-05 14:25:39 /learner.py:612 [LEARNER] Number of optimization step: 1334
+DEBUG 2025-08-05 14:25:39 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
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+INFO 2025-08-05 14:26:37 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:26:38 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:26:38 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:26:38 /learner.py:612 [LEARNER] Number of optimization step: 1367
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+INFO 2025-08-05 14:26:40 /learner.py:612 [LEARNER] Number of optimization step: 1368
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+INFO 2025-08-05 14:26:41 /learner.py:612 [LEARNER] Number of optimization step: 1369
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+INFO 2025-08-05 14:26:43 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:26:43 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:26:43 /learner.py:612 [LEARNER] Number of optimization step: 1370
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+DEBUG 2025-08-05 14:26:45 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:26:45 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:26:45 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5749420469974228
+INFO 2025-08-05 14:26:45 /learner.py:612 [LEARNER] Number of optimization step: 1371
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+DEBUG 2025-08-05 14:26:45 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:26:45 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:26:46 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:26:47 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:26:47 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+DEBUG 2025-08-05 14:27:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:27:54 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:27:54 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:27:55 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:27:56 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:27:56 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:27:56 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5725520631195686
+INFO 2025-08-05 14:27:56 /learner.py:612 [LEARNER] Number of optimization step: 1415
+DEBUG 2025-08-05 14:27:56 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:27:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:27:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:27:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:27:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:27:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:27:56 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:27:56 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:27:57 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:27:58 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:27:58 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:27:58 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5060877555642167
+INFO 2025-08-05 14:27:58 /learner.py:612 [LEARNER] Number of optimization step: 1416
+DEBUG 2025-08-05 14:27:58 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:27:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:27:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:27:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:27:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:27:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:27:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:27:58 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:27:58 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:27:59 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:28:00 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:28:00 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:28:00 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5575027597525558
+INFO 2025-08-05 14:28:00 /learner.py:612 [LEARNER] Number of optimization step: 1417
+DEBUG 2025-08-05 14:28:00 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:28:00 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:28:00 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:28:01 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:28:01 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:28:01 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:28:02 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5478601625856535
+INFO 2025-08-05 14:28:02 /learner.py:612 [LEARNER] Number of optimization step: 1418
+DEBUG 2025-08-05 14:28:02 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:28:02 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:28:02 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:28:03 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:28:03 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:28:03 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:28:03 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5508625019571689
+INFO 2025-08-05 14:28:03 /learner.py:612 [LEARNER] Number of optimization step: 1419
+DEBUG 2025-08-05 14:28:03 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:28:04 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:28:04 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:28:05 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:28:05 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:28:05 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:28:05 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5546591226248142
+INFO 2025-08-05 14:28:05 /learner.py:612 [LEARNER] Number of optimization step: 1420
+DEBUG 2025-08-05 14:28:05 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:28:05 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:28:05 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:28:06 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:28:07 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:28:07 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:28:07 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5523348014686431
+INFO 2025-08-05 14:28:07 /learner.py:612 [LEARNER] Number of optimization step: 1421
+DEBUG 2025-08-05 14:28:07 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:07 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:28:07 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:28:07 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:28:08 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:28:09 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:28:09 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:28:09 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5335215233444222
+INFO 2025-08-05 14:28:09 /learner.py:612 [LEARNER] Number of optimization step: 1422
+DEBUG 2025-08-05 14:28:09 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:09 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:28:09 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:28:09 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:28:10 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:28:11 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:28:11 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:28:11 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5077994961926435
+INFO 2025-08-05 14:28:11 /learner.py:612 [LEARNER] Number of optimization step: 1423
+DEBUG 2025-08-05 14:28:11 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:28:11 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:28:11 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:28:12 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:28:13 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:28:13 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:28:13 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5245238387559991
+INFO 2025-08-05 14:28:13 /learner.py:612 [LEARNER] Number of optimization step: 1424
+DEBUG 2025-08-05 14:28:13 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:28:13 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:28:13 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:28:14 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:28:15 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:28:15 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:28:15 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5192108317085677
+INFO 2025-08-05 14:28:15 /learner.py:612 [LEARNER] Number of optimization step: 1425
+DEBUG 2025-08-05 14:28:15 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:28:15 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:28:15 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:28:16 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:28:16 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:28:16 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:28:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5320204514652199
+INFO 2025-08-05 14:28:17 /learner.py:612 [LEARNER] Number of optimization step: 1426
+DEBUG 2025-08-05 14:28:17 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:28:17 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:28:17 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:28:18 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:28:18 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:28:18 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:28:19 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5133105331601641
+INFO 2025-08-05 14:28:19 /learner.py:612 [LEARNER] Number of optimization step: 1427
+DEBUG 2025-08-05 14:28:19 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:28:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:28:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:28:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:28:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
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+INFO 2025-08-05 14:28:20 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:28:20 /learner.py:612 [LEARNER] Number of optimization step: 1428
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+INFO 2025-08-05 14:28:22 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:28:22 /learner.py:612 [LEARNER] Number of optimization step: 1429
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+INFO 2025-08-05 14:28:24 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:28:24 learner.py:1137 [LEARNER] Including discrete critic in state dict push
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+INFO 2025-08-05 14:28:24 /learner.py:612 [LEARNER] Number of optimization step: 1430
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+INFO 2025-08-05 14:28:25 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:28:25 /learner.py:612 [LEARNER] Number of optimization step: 1431
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+INFO 2025-08-05 14:28:27 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:28:27 /learner.py:612 [LEARNER] Number of optimization step: 1432
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+INFO 2025-08-05 14:31:49 /learner.py:612 [LEARNER] Number of optimization step: 1545
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+INFO 2025-08-05 14:31:53 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:31:53 /learner.py:612 [LEARNER] Number of optimization step: 1547
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+INFO 2025-08-05 14:31:55 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:31:55 /learner.py:612 [LEARNER] Number of optimization step: 1548
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+INFO 2025-08-05 14:31:55 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:31:56 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:31:57 /learner.py:612 [LEARNER] Number of optimization step: 1549
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+DEBUG 2025-08-05 14:31:58 ort/utils.py:76 [LEARNER] interactions Received item
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+INFO 2025-08-05 14:32:51 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:32:52 /learner.py:612 [LEARNER] Number of optimization step: 1579
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+INFO 2025-08-05 14:32:53 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:32:54 /learner.py:612 [LEARNER] Number of optimization step: 1580
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+INFO 2025-08-05 14:33:12 /learner.py:612 [LEARNER] Number of optimization step: 1591
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+INFO 2025-08-05 14:33:16 /learner.py:612 [LEARNER] Number of optimization step: 1593
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+INFO 2025-08-05 14:33:18 /learner.py:612 [LEARNER] Number of optimization step: 1594
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+INFO 2025-08-05 14:35:01 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.604649901865242
+INFO 2025-08-05 14:35:01 /learner.py:612 [LEARNER] Number of optimization step: 1653
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+INFO 2025-08-05 14:35:02 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:35:03 learner.py:1127 [LEARNER] Pushing actor policy to the queue
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+INFO 2025-08-05 14:35:04 /learner.py:612 [LEARNER] Number of optimization step: 1655
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+INFO 2025-08-05 14:35:07 r_service.py:67 [LEARNER] Push parameters to the Actor
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+DEBUG 2025-08-05 14:35:08 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:35:08 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6820169518099722
+INFO 2025-08-05 14:35:08 /learner.py:612 [LEARNER] Number of optimization step: 1657
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+INFO 2025-08-05 14:35:09 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:35:10 /learner.py:612 [LEARNER] Number of optimization step: 1658
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+INFO 2025-08-05 14:35:29 /learner.py:612 [LEARNER] Number of optimization step: 1668
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+INFO 2025-08-05 14:38:16 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:38:17 learner.py:1127 [LEARNER] Pushing actor policy to the queue
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+INFO 2025-08-05 14:38:17 /learner.py:612 [LEARNER] Number of optimization step: 1763
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+INFO 2025-08-05 14:38:19 /learner.py:612 [LEARNER] Number of optimization step: 1764
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+INFO 2025-08-05 14:38:20 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:38:20 /learner.py:612 [LEARNER] Number of optimization step: 1765
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+INFO 2025-08-05 14:38:21 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:38:22 /learner.py:612 [LEARNER] Number of optimization step: 1766
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+INFO 2025-08-05 14:40:23 /learner.py:612 [LEARNER] Number of optimization step: 1836
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+INFO 2025-08-05 14:42:59 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5570491758372884
+INFO 2025-08-05 14:42:59 /learner.py:612 [LEARNER] Number of optimization step: 1926
+DEBUG 2025-08-05 14:42:59 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:42:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:42:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:42:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:42:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:42:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:42:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:42:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:42:59 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:42:59 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:42:59 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:43:00 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:43:00 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:43:01 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:43:01 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5467249777339604
+INFO 2025-08-05 14:43:01 /learner.py:612 [LEARNER] Number of optimization step: 1927
+DEBUG 2025-08-05 14:43:01 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:43:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:43:01 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:43:01 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:43:01 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:43:02 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:43:02 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:43:02 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:43:02 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5634745559616522
+INFO 2025-08-05 14:43:02 /learner.py:612 [LEARNER] Number of optimization step: 1928
+DEBUG 2025-08-05 14:43:02 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:43:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:43:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:43:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:43:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:43:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:03 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:43:03 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:43:03 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:43:04 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:43:04 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:43:04 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:43:04 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5379143795412187
+INFO 2025-08-05 14:43:04 /learner.py:612 [LEARNER] Number of optimization step: 1929
+DEBUG 2025-08-05 14:43:04 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:43:04 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:43:04 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:43:05 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:43:06 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:43:06 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:43:06 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5579546335757881
+INFO 2025-08-05 14:43:06 /learner.py:612 [LEARNER] Number of optimization step: 1930
+DEBUG 2025-08-05 14:43:06 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:43:06 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:43:06 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:43:07 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:43:08 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:43:08 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:43:08 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5254775495272407
+INFO 2025-08-05 14:43:08 /learner.py:612 [LEARNER] Number of optimization step: 1931
+DEBUG 2025-08-05 14:43:08 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:43:08 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:43:08 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:43:09 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:43:10 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:43:10 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:43:10 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5364069068638158
+INFO 2025-08-05 14:43:10 /learner.py:612 [LEARNER] Number of optimization step: 1932
+DEBUG 2025-08-05 14:43:10 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:43:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:43:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:43:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
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+INFO 2025-08-05 14:50:22 /learner.py:612 [LEARNER] Number of optimization step: 2094
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+DEBUG 2025-08-05 14:50:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:50:54 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:50:54 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:50:54 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:50:55 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:50:56 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:50:56 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:50:56 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.518281890045479
+INFO 2025-08-05 14:50:56 /learner.py:612 [LEARNER] Number of optimization step: 2113
+DEBUG 2025-08-05 14:50:56 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:50:56 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:50:56 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:50:56 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:50:57 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:50:58 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:50:58 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:50:58 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5159520209037609
+INFO 2025-08-05 14:50:58 /learner.py:612 [LEARNER] Number of optimization step: 2114
+DEBUG 2025-08-05 14:50:58 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:50:58 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:50:58 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:50:58 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:50:59 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:51:00 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:51:00 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:51:00 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5205692482311763
+INFO 2025-08-05 14:51:00 /learner.py:612 [LEARNER] Number of optimization step: 2115
+DEBUG 2025-08-05 14:51:00 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:51:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:51:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:00 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:51:00 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:51:00 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:51:01 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:51:02 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:51:02 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:51:02 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5184105845274467
+INFO 2025-08-05 14:51:02 /learner.py:612 [LEARNER] Number of optimization step: 2116
+DEBUG 2025-08-05 14:51:02 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:51:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:51:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:51:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:51:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:02 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:51:02 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:51:02 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:51:03 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:51:03 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:51:03 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:51:03 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5338389116891451
+INFO 2025-08-05 14:51:03 /learner.py:612 [LEARNER] Number of optimization step: 2117
+DEBUG 2025-08-05 14:51:04 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:04 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:51:04 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:51:04 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:51:05 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:51:05 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:51:05 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:51:05 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5268646312026678
+INFO 2025-08-05 14:51:05 /learner.py:612 [LEARNER] Number of optimization step: 2118
+DEBUG 2025-08-05 14:51:05 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:05 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:51:06 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
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+INFO 2025-08-05 14:52:01 /learner.py:612 [LEARNER] Number of optimization step: 2149
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+INFO 2025-08-05 14:52:07 /learner.py:612 [LEARNER] Number of optimization step: 2152
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+INFO 2025-08-05 14:52:08 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 14:52:08 /learner.py:612 [LEARNER] Number of optimization step: 2153
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+INFO 2025-08-05 14:53:13 /learner.py:612 [LEARNER] Number of optimization step: 2190
+DEBUG 2025-08-05 14:53:13 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:53:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:53:13 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:53:13 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:53:14 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:53:15 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:53:15 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:53:15 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5468626969154683
+INFO 2025-08-05 14:53:15 /learner.py:612 [LEARNER] Number of optimization step: 2191
+DEBUG 2025-08-05 14:53:15 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:53:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:53:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:53:15 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:53:15 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:53:16 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:53:17 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:53:17 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:53:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.529863622152201
+INFO 2025-08-05 14:53:17 /learner.py:612 [LEARNER] Number of optimization step: 2192
+DEBUG 2025-08-05 14:53:17 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:53:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:53:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:53:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:53:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:53:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:53:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:53:17 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:53:17 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:53:18 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:53:19 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:53:19 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:53:19 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.4930365107314132
+INFO 2025-08-05 14:53:19 /learner.py:612 [LEARNER] Number of optimization step: 2193
+DEBUG 2025-08-05 14:53:19 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:53:19 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:53:19 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:53:20 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:53:20 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:53:20 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:53:21 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5142144108678987
+INFO 2025-08-05 14:53:21 /learner.py:612 [LEARNER] Number of optimization step: 2194
+DEBUG 2025-08-05 14:53:21 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:53:21 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:53:21 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:53:22 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:53:22 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:53:22 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:53:23 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5158398963077581
+INFO 2025-08-05 14:53:23 /learner.py:612 [LEARNER] Number of optimization step: 2195
+DEBUG 2025-08-05 14:53:23 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:53:23 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:53:23 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:53:24 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:53:24 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:53:24 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:53:24 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5236841264671063
+INFO 2025-08-05 14:53:24 /learner.py:612 [LEARNER] Number of optimization step: 2196
+DEBUG 2025-08-05 14:53:25 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:53:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:53:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:53:25 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:53:25 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:53:26 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:53:26 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:53:26 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:53:26 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5168315418666359
+INFO 2025-08-05 14:53:26 /learner.py:612 [LEARNER] Number of optimization step: 2197
+DEBUG 2025-08-05 14:53:26 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:53:26 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:53:27 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:53:27 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:53:28 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:53:28 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:53:28 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:53:28 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5156336686885986
+INFO 2025-08-05 14:53:28 /learner.py:612 [LEARNER] Number of optimization step: 2198
+DEBUG 2025-08-05 14:53:28 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:53:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:53:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:28 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:53:28 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:53:28 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:53:29 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:53:30 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:53:30 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:53:30 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5178050162000691
+INFO 2025-08-05 14:53:30 /learner.py:612 [LEARNER] Number of optimization step: 2199
+DEBUG 2025-08-05 14:53:30 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:53:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 14:53:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:53:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:53:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:53:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:30 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:53:30 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:53:30 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:53:31 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:53:32 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:53:32 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:53:32 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5394459591541935
+INFO 2025-08-05 14:53:32 /learner.py:612 [LEARNER] Number of optimization step: 2200
+DEBUG 2025-08-05 14:53:32 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:32 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:53:32 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:53:32 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:53:33 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:53:34 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:53:34 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:53:34 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5289842558228229
+INFO 2025-08-05 14:53:34 /learner.py:612 [LEARNER] Number of optimization step: 2201
+DEBUG 2025-08-05 14:53:34 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:34 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 14:53:34 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 14:53:34 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 14:53:35 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 14:53:36 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 14:53:36 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 14:53:36 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5267328301550047
+INFO 2025-08-05 14:53:36 /learner.py:612 [LEARNER] Number of optimization step: 2202
+DEBUG 2025-08-05 14:53:36 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 14:53:36 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:08 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:08 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 15:04:08 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 15:04:09 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 15:04:09 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 15:04:09 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 15:04:10 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.6307468766990442
+INFO 2025-08-05 15:04:10 /learner.py:612 [LEARNER] Number of optimization step: 2561
+DEBUG 2025-08-05 15:04:10 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 15:04:10 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 15:04:10 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 15:04:10 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 15:04:11 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 15:04:11 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 15:04:11 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 15:04:11 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5556455802047464
+INFO 2025-08-05 15:04:11 /learner.py:612 [LEARNER] Number of optimization step: 2562
+DEBUG 2025-08-05 15:04:11 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 15:04:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 15:04:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:11 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:12 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:12 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 15:04:12 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 15:04:13 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 15:04:13 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 15:04:13 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 15:04:13 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5208255514608259
+INFO 2025-08-05 15:04:13 /learner.py:612 [LEARNER] Number of optimization step: 2563
+DEBUG 2025-08-05 15:04:13 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:13 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:13 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 15:04:13 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 15:04:14 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 15:04:15 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 15:04:15 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 15:04:15 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5264254185295862
+INFO 2025-08-05 15:04:15 /learner.py:612 [LEARNER] Number of optimization step: 2564
+DEBUG 2025-08-05 15:04:15 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:15 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 15:04:15 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 15:04:15 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 15:04:16 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 15:04:17 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 15:04:17 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 15:04:17 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5456445974642505
+INFO 2025-08-05 15:04:17 /learner.py:612 [LEARNER] Number of optimization step: 2565
+DEBUG 2025-08-05 15:04:17 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:17 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 15:04:17 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 15:04:17 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 15:04:18 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 15:04:19 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 15:04:19 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 15:04:19 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5087076206696826
+INFO 2025-08-05 15:04:19 /learner.py:612 [LEARNER] Number of optimization step: 2566
+DEBUG 2025-08-05 15:04:19 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:19 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 15:04:19 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 15:04:19 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 15:04:20 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 15:04:21 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 15:04:21 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 15:04:21 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5117638586996609
+INFO 2025-08-05 15:04:21 /learner.py:612 [LEARNER] Number of optimization step: 2567
+DEBUG 2025-08-05 15:04:21 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 15:04:21 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 15:04:21 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 15:04:21 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 15:04:22 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 15:04:23 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 15:04:23 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 15:04:23 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5368349738313007
+INFO 2025-08-05 15:04:23 /learner.py:612 [LEARNER] Number of optimization step: 2568
+DEBUG 2025-08-05 15:04:23 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 15:04:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 15:04:23 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:23 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 15:04:23 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 15:04:24 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 15:04:25 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 15:04:25 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 15:04:25 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5043431206024541
+INFO 2025-08-05 15:04:25 /learner.py:612 [LEARNER] Number of optimization step: 2569
+DEBUG 2025-08-05 15:04:25 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 15:04:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 15:04:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:25 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 15:04:25 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 15:04:25 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 15:04:26 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 15:04:27 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 15:04:27 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 15:04:27 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5166318387734133
+INFO 2025-08-05 15:04:27 /learner.py:612 [LEARNER] Number of optimization step: 2570
+DEBUG 2025-08-05 15:04:27 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:27 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 15:04:27 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 15:04:27 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 15:04:28 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 15:04:29 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 15:04:29 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 15:04:29 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5133844833805606
+INFO 2025-08-05 15:04:29 /learner.py:612 [LEARNER] Number of optimization step: 2571
+DEBUG 2025-08-05 15:04:29 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
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+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:29 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 15:04:29 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 15:04:29 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 15:04:30 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 15:04:30 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 15:04:30 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 15:04:31 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5201270483563339
+INFO 2025-08-05 15:04:31 /learner.py:612 [LEARNER] Number of optimization step: 2572
+DEBUG 2025-08-05 15:04:31 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 4194304/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 6291456/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 8388608/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 10485760/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 12582912/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 14680064/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 16777216/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 18874368/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 20971520/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 23068672/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 25165824/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 27262976/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 29360128/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 31457280/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 33554432/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 35651584/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 37748736/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 39845888/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 41943040/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 44040192/45487027 bytes with state 2
+DEBUG 2025-08-05 15:04:31 ort/utils.py:65 [LEARNER] Sending parameters Sent 45487027/45487027 bytes with state 3
+DEBUG 2025-08-05 15:04:31 ort/utils.py:67 [LEARNER] Sending parameters Published 43.37980937957764 MB
+INFO 2025-08-05 15:04:31 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 15:04:32 r_service.py:67 [LEARNER] Push parameters to the Actor
+DEBUG 2025-08-05 15:04:32 learner.py:1127 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 15:04:32 learner.py:1137 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 15:04:33 /learner.py:597 [LEARNER] Optimization frequency loop [Hz]: 0.5124940384853959
+INFO 2025-08-05 15:04:33 /learner.py:612 [LEARNER] Number of optimization step: 2573
+DEBUG 2025-08-05 15:04:33 ort/utils.py:50 [LEARNER] Sending parameters Buffer size 43.37980937957764 MB with
+DEBUG 2025-08-05 15:04:33 ort/utils.py:65 [LEARNER] Sending parameters Sent 2097152/45487027 bytes with state 1
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+INFO 2025-08-05 15:04:33 r_service.py:83 [LEARNER] Parameters sent
+INFO 2025-08-05 15:04:34 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 15:04:34 /learner.py:612 [LEARNER] Number of optimization step: 2574
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+INFO 2025-08-05 15:04:36 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 15:04:36 /learner.py:612 [LEARNER] Number of optimization step: 2575
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+INFO 2025-08-05 15:04:38 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 15:04:38 /learner.py:612 [LEARNER] Number of optimization step: 2576
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+INFO 2025-08-05 15:04:39 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 15:04:40 /learner.py:612 [LEARNER] Number of optimization step: 2577
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+INFO 2025-08-05 15:04:41 r_service.py:67 [LEARNER] Push parameters to the Actor
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+INFO 2025-08-05 15:04:41 /learner.py:612 [LEARNER] Number of optimization step: 2578
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+INFO 2025-08-05 17:00:14 /learner.py:154 Learner logging initialized, writing to /home/nikola/lerobot/outputs/train/2025-08-05/13-45-02_default/logs/learner_default.log
+INFO 2025-08-05 17:00:14 /learner.py:155 {'batch_size': 256,
+ 'dataset': {'episodes': None,
+             'image_transforms': {'enable': False,
+                                  'max_num_transforms': 3,
+                                  'random_order': False,
+                                  'tfs': {'brightness': {'kwargs': {'brightness': [0.8,
+                                                                                   1.2]},
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+                                                         'weight': 1.0},
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+                                                       'weight': 1.0},
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+                                                         'weight': 1.0},
+                                          'sharpness': {'kwargs': {'sharpness': [0.5,
+                                                                                 1.5]},
+                                                        'type': 'SharpnessJitter',
+                                                        'weight': 1.0}}},
+             'repo_id': 'spirosperos/panda-pick-gamepad',
+             'revision': None,
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+             'use_imagenet_stats': False,
+             'video_backend': 'pyav'},
+ 'env': {'action_dim': 4,
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+         'device': 'cuda',
+         'episode': 0,
+         'episode_length': 100,
+         'features': {'action': {'shape': [3],
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+                      'observation.images.front': {'shape': [3, 128, 128],
+                                                   'type': <FeatureType.VISUAL: 'VISUAL'>},
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+         'features_map': {'action': 'action',
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+         'num_episodes': 30,
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+         'use_viewer': True,
+         'video_record': {'enabled': False,
+                          'record_dir': 'videos',
+                          'trajectory_name': 'trajectory'},
+         'wrapper': {'add_current_to_observation': False,
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+ 'eval_freq': 20000,
+ 'job_name': 'default',
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+ 'output_dir': '/home/nikola/lerobot/outputs/train/2025-08-05/13-45-02_default',
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+                                                            0.6012658476829529,
+                                                            0.3005995750427246,
+                                                            0.5004003643989563],
+                                                    'min': [-0.6897139549255371,
+                                                            -1.1421763896942139,
+                                                            -0.5745007991790771,
+                                                            -2.97829008102417,
+                                                            -0.2710767090320587,
+                                                            1.3246592283248901,
+                                                            -0.04057434946298599,
+                                                            -0.21261805295944214,
+                                                            -0.4548068344593048,
+                                                            -0.6540042757987976,
+                                                            -0.3644964098930359,
+                                                            -1.1057522296905518,
+                                                            -0.40768879652023315,
+                                                            -0.2220114767551422,
+                                                            0.0,
+                                                            0.19176171720027924,
+                                                            -0.3013063669204712,
+                                                            0.00362197193317115]}},
+            'device': 'cuda',
+            'discount': 0.97,
+            'discrete_critic_network_kwargs': {'activate_final': True,
+                                               'final_activation': None,
+                                               'hidden_dims': [256, 256]},
+            'freeze_vision_encoder': True,
+            'grad_clip_norm': 10.0,
+            'image_embedding_pooling_dim': 8,
+            'image_encoder_hidden_dim': 32,
+            'input_features': {'observation.images.front': {'shape': [3,
+                                                                      128,
+                                                                      128],
+                                                            'type': <FeatureType.VISUAL: 'VISUAL'>},
+                               'observation.images.wrist': {'shape': [3,
+                                                                      128,
+                                                                      128],
+                                                            'type': <FeatureType.VISUAL: 'VISUAL'>},
+                               'observation.state': {'shape': [18],
+                                                     'type': <FeatureType.STATE: 'STATE'>}},
+            'latent_dim': 64,
+            'license': None,
+            'n_obs_steps': 1,
+            'normalization_mapping': {'ACTION': <NormalizationMode.MIN_MAX: 'MIN_MAX'>,
+                                      'ENV': <NormalizationMode.MIN_MAX: 'MIN_MAX'>,
+                                      'STATE': <NormalizationMode.MIN_MAX: 'MIN_MAX'>,
+                                      'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>},
+            'num_critics': 2,
+            'num_discrete_actions': 3,
+            'num_subsample_critics': None,
+            'offline_buffer_capacity': 100000,
+            'online_buffer_capacity': 100000,
+            'online_env_seed': 10000,
+            'online_step_before_learning': 100,
+            'online_steps': 1000000,
+            'output_features': {'action': {'shape': [3],
+                                           'type': <FeatureType.ACTION: 'ACTION'>}},
+            'policy_kwargs': {'init_final': 0.05,
+                              'std_max': 5.0,
+                              'std_min': 1e-05,
+                              'use_tanh_squash': True},
+            'policy_update_freq': 1,
+            'private': None,
+            'push_to_hub': True,
+            'repo_id': 'spirosperos/panda-pick-gamepad-policy',
+            'shared_encoder': True,
+            'state_encoder_hidden_dim': 256,
+            'storage_device': 'cpu',
+            'tags': None,
+            'target_entropy': None,
+            'temperature_init': 0.01,
+            'temperature_lr': 0.0003,
+            'type': 'sac',
+            'use_amp': False,
+            'use_backup_entropy': True,
+            'use_torch_compile': True,
+            'utd_ratio': 2,
+            'vision_encoder_name': 'helper2424/resnet10'},
+ 'resume': True,
+ 'save_checkpoint': True,
+ 'save_freq': 30,
+ 'scheduler': None,
+ 'seed': 1000,
+ 'steps': 100000,
+ 'use_policy_training_preset': True,
+ 'wandb': {'disable_artifact': True,
+           'enable': True,
+           'entity': None,
+           'mode': None,
+           'notes': None,
+           'project': 'franka_sim',
+           'run_id': None}}
+DEBUG 2025-08-05 17:00:14 git/cmd.py:1270 Popen(['git', 'version'], cwd=/home/nikola/lerobot, stdin=None, shell=False, universal_newlines=False)
+DEBUG 2025-08-05 17:00:14 git/cmd.py:1270 Popen(['git', 'version'], cwd=/home/nikola/lerobot, stdin=None, shell=False, universal_newlines=False)
+DEBUG 2025-08-05 17:00:14 git/util.py:494 sys.platform='linux', git_executable='git'
+DEBUG 2025-08-05 17:00:14 git/cmd.py:1270 Popen(['git', 'rev-parse', '--show-toplevel'], cwd=/home/nikola/lerobot, stdin=None, shell=False, universal_newlines=False)
+DEBUG 2025-08-05 17:00:14 git/util.py:494 sys.platform='linux', git_executable='git'
+DEBUG 2025-08-05 17:00:14 git/cmd.py:1270 Popen(['git', 'cat-file', '--batch-check'], cwd=/home/nikola/lerobot, stdin=<valid stream>, shell=False, universal_newlines=False)
+DEBUG 2025-08-05 17:00:15 or_events.py:64 Using selector: EpollSelector
+INFO 2025-08-05 17:00:18 db_utils.py:103 Track this run --> https://wandb.ai/spes-robotics/franka_sim/runs/vcej2ove
+INFO 2025-08-05 17:00:18 /learner.py:914 Valid checkpoint found: resume=True detected, resuming previous run
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type None: None
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: None, Result: , nargs: 0, default metavar: None
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at output_dir has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at job_name has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at resume has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at seed has a default value of 1000
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at num_workers has a default value of 4
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at batch_size has a default value of 8
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at steps has a default value of 100000
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at eval_freq has a default value of 20000
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at log_freq has a default value of 200
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at save_checkpoint has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at save_freq has a default value of 20000
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at use_policy_training_preset has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at eval.n_episodes has a default value of 50
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at eval.batch_size has a default value of 50
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at eval.use_async_envs has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at wandb.enable has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at wandb.disable_artifact has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at wandb.project has a default value of lerobot
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at wandb.entity has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at wandb.notes has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at wandb.run_id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at wandb.mode has a default value of None
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at dataset.repo_id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at dataset.root has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at dataset.episodes has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at dataset.image_transforms.enable has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at dataset.image_transforms.max_num_transforms has a default value of 3
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at dataset.image_transforms.random_order has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at dataset.image_transforms.tfs has a default value of {'brightness': ImageTransformConfig(weight=1.0, type='ColorJitter', kwargs={'brightness': (0.8, 1.2)}), 'contrast': ImageTransformConfig(weight=1.0, type='ColorJitter', kwargs={'contrast': (0.8, 1.2)}), 'saturation': ImageTransformConfig(weight=1.0, type='ColorJitter', kwargs={'saturation': (0.5, 1.5)}), 'hue': ImageTransformConfig(weight=1.0, type='ColorJitter', kwargs={'hue': (-0.05, 0.05)}), 'sharpness': ImageTransformConfig(weight=1.0, type='SharpnessJitter', kwargs={'sharpness': (0.5, 1.5)})}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at dataset.revision has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at dataset.use_imagenet_stats has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at dataset.video_backend has a default value of torchcodec
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'repo_id': {'required': False, 'dest': 'dataset.repo_id', 'default': None, 'help': 'You may provide a list of datasets here. `train.py` creates them all and concatenates them. Note: only data\nkeys common between the datasets are kept. Each dataset gets and additional transform that inserts the\n"dataset_index" into the returned item. The index mapping is made according to the order in which the\ndatasets are provided.', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'root': {'required': False, 'dest': 'dataset.root', 'default': None, 'help': "Root directory where the dataset will be stored (e.g. 'dataset/path').", 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'episodes': {'required': False, 'dest': 'dataset.episodes', 'default': None, 'type': typing.Optional[typing.List[int]]}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'enable': {'required': False, 'dest': 'dataset.image_transforms.enable', 'default': False, 'help': 'Set this flag to `true` to enable transforms during training', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_num_transforms': {'required': False, 'dest': 'dataset.image_transforms.max_num_transforms', 'default': 3, 'help': "This is the maximum number of transforms (sampled from these below) that will be applied to each frame.\nIt's an integer in the interval [1, number_of_available_transforms].", 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'random_order': {'required': False, 'dest': 'dataset.image_transforms.random_order', 'default': False, 'help': "By default, transforms are applied in Torchvision's suggested order (shown below).\nSet this to True to apply them in a random order.", 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'tfs': {'required': False, 'dest': 'dataset.image_transforms.tfs', 'default': {'brightness': ImageTransformConfig(weight=1.0, type='ColorJitter', kwargs={'brightness': (0.8, 1.2)}), 'contrast': ImageTransformConfig(weight=1.0, type='ColorJitter', kwargs={'contrast': (0.8, 1.2)}), 'saturation': ImageTransformConfig(weight=1.0, type='ColorJitter', kwargs={'saturation': (0.5, 1.5)}), 'hue': ImageTransformConfig(weight=1.0, type='ColorJitter', kwargs={'hue': (-0.05, 0.05)}), 'sharpness': ImageTransformConfig(weight=1.0, type='SharpnessJitter', kwargs={'sharpness': (0.5, 1.5)})}, 'help': ' ', 'type': typing.Dict[str, lerobot.datasets.transforms.ImageTransformConfig]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'revision': {'required': False, 'dest': 'dataset.revision', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_imagenet_stats': {'required': False, 'dest': 'dataset.use_imagenet_stats', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'video_backend': {'required': False, 'dest': 'dataset.video_backend', 'default': 'torchcodec', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.task has a default value of AlohaInsertion-v0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.fps has a default value of 50
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.features has a default value of {'action': PolicyFeature(type=<FeatureType.ACTION: 'ACTION'>, shape=(14,))}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.features_map has a default value of {'action': 'action', 'agent_pos': 'observation.state', 'top': 'observation.image.top', 'pixels/top': 'observation.images.top'}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.episode_length has a default value of 400
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.obs_type has a default value of pixels_agent_pos
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.render_mode has a default value of rgb_array
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.task has a default value of PushT-v0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.fps has a default value of 10
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.features has a default value of {'action': PolicyFeature(type=<FeatureType.ACTION: 'ACTION'>, shape=(2,)), 'agent_pos': PolicyFeature(type=<FeatureType.STATE: 'STATE'>, shape=(2,))}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.features_map has a default value of {'action': 'action', 'agent_pos': 'observation.state', 'environment_state': 'observation.environment_state', 'pixels': 'observation.image'}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.episode_length has a default value of 300
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.obs_type has a default value of pixels_agent_pos
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.render_mode has a default value of rgb_array
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.visualization_width has a default value of 384
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.visualization_height has a default value of 384
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.task has a default value of XarmLift-v0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.fps has a default value of 15
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.features has a default value of {'action': PolicyFeature(type=<FeatureType.ACTION: 'ACTION'>, shape=(4,)), 'pixels': PolicyFeature(type=<FeatureType.VISUAL: 'VISUAL'>, shape=(84, 84, 3))}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.features_map has a default value of {'action': 'action', 'agent_pos': 'observation.state', 'pixels': 'observation.image'}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.episode_length has a default value of 200
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.obs_type has a default value of pixels_agent_pos
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.render_mode has a default value of rgb_array
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.visualization_width has a default value of 384
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.visualization_height has a default value of 384
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.task has a default value of 
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.fps has a default value of 10
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.features has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.features_map has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.name has a default value of real_robot
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.mode has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.repo_id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.dataset_root has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.num_episodes has a default value of 10
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.episode has a default value of 0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.device has a default value of cuda
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.push_to_hub has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.pretrained_policy_name_or_path has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.reward_classifier_pretrained_path has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.number_of_steps_after_success has a default value of 0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.task has a default value of PandaPickCubeKeyboard-v0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.fps has a default value of 100
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.features has a default value of {'action': PolicyFeature(type=<FeatureType.ACTION: 'ACTION'>, shape=(4,)), 'observation.image': PolicyFeature(type=<FeatureType.VISUAL: 'VISUAL'>, shape=(3, 128, 128)), 'observation.state': PolicyFeature(type=<FeatureType.STATE: 'STATE'>, shape=(18,))}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.features_map has a default value of {'action': 'action', 'observation.image': 'observation.image', 'observation.state': 'observation.state'}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.name has a default value of PandaPickCube
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.use_viewer has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.gripper_penalty has a default value of 0.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.use_gamepad has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.state_dim has a default value of 18
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.action_dim has a default value of 4
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.episode_length has a default value of 100
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.random_block_position has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.video_record.enabled has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.video_record.record_dir has a default value of videos
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.video_record.trajectory_name has a default value of trajectory
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.reward_classifier_pretrained_path has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.mode has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.repo_id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.dataset_root has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.num_episodes has a default value of 10
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.episode has a default value of 0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.device has a default value of cuda
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.push_to_hub has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.pretrained_policy_name_or_path has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.number_of_steps_after_success has a default value of 0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'task': {'required': False, 'dest': 'env.task', 'default': 'AlohaInsertion-v0', 'help': ' ', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'fps': {'required': False, 'dest': 'env.fps', 'default': 50, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'features': {'required': False, 'dest': 'env.features', 'default': {'action': PolicyFeature(type=<FeatureType.ACTION: 'ACTION'>, shape=(14,))}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'features_map': {'required': False, 'dest': 'env.features_map', 'default': {'action': 'action', 'agent_pos': 'observation.state', 'top': 'observation.image.top', 'pixels/top': 'observation.images.top'}, 'help': '\n', 'type': typing.Dict[str, str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'episode_length': {'required': False, 'dest': 'env.episode_length', 'default': 400, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'obs_type': {'required': False, 'dest': 'env.obs_type', 'default': 'pixels_agent_pos', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'render_mode': {'required': False, 'dest': 'env.render_mode', 'default': 'rgb_array', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'task': {'required': False, 'dest': 'env.task', 'default': 'PushT-v0', 'help': ' ', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'fps': {'required': False, 'dest': 'env.fps', 'default': 10, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'features': {'required': False, 'dest': 'env.features', 'default': {'action': PolicyFeature(type=<FeatureType.ACTION: 'ACTION'>, shape=(2,)), 'agent_pos': PolicyFeature(type=<FeatureType.STATE: 'STATE'>, shape=(2,))}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'features_map': {'required': False, 'dest': 'env.features_map', 'default': {'action': 'action', 'agent_pos': 'observation.state', 'environment_state': 'observation.environment_state', 'pixels': 'observation.image'}, 'help': '\n', 'type': typing.Dict[str, str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'episode_length': {'required': False, 'dest': 'env.episode_length', 'default': 300, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'obs_type': {'required': False, 'dest': 'env.obs_type', 'default': 'pixels_agent_pos', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'render_mode': {'required': False, 'dest': 'env.render_mode', 'default': 'rgb_array', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'visualization_width': {'required': False, 'dest': 'env.visualization_width', 'default': 384, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'visualization_height': {'required': False, 'dest': 'env.visualization_height', 'default': 384, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'task': {'required': False, 'dest': 'env.task', 'default': 'XarmLift-v0', 'help': ' ', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'fps': {'required': False, 'dest': 'env.fps', 'default': 15, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'features': {'required': False, 'dest': 'env.features', 'default': {'action': PolicyFeature(type=<FeatureType.ACTION: 'ACTION'>, shape=(4,)), 'pixels': PolicyFeature(type=<FeatureType.VISUAL: 'VISUAL'>, shape=(84, 84, 3))}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'features_map': {'required': False, 'dest': 'env.features_map', 'default': {'action': 'action', 'agent_pos': 'observation.state', 'pixels': 'observation.image'}, 'help': '\n', 'type': typing.Dict[str, str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'episode_length': {'required': False, 'dest': 'env.episode_length', 'default': 200, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'obs_type': {'required': False, 'dest': 'env.obs_type', 'default': 'pixels_agent_pos', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'render_mode': {'required': False, 'dest': 'env.render_mode', 'default': 'rgb_array', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'visualization_width': {'required': False, 'dest': 'env.visualization_width', 'default': 384, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'visualization_height': {'required': False, 'dest': 'env.visualization_height', 'default': 384, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'task': {'required': False, 'dest': 'env.task', 'default': '', 'help': ' ', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'fps': {'required': False, 'dest': 'env.fps', 'default': 10, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'features': {'required': False, 'dest': 'env.features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:     @property
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'features_map': {'required': False, 'dest': 'env.features_map', 'default': {}, 'help': ' ', 'type': typing.Dict[str, str]}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot.id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot.calibration_dir has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot.port has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot.disable_torque_on_disconnect has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot.max_relative_target has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot.cameras has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot.use_degrees has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot.id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot.calibration_dir has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot.port has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot.disable_torque_on_disconnect has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot.max_relative_target has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot.cameras has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot.use_degrees has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot.urdf_path has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot.target_frame_name has a default value of gripper_frame_link
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot.end_effector_bounds has a default value of {'min': [-1.0, -1.0, -1.0], 'max': [1.0, 1.0, 1.0]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot.max_gripper_pos has a default value of 50
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot.end_effector_step_sizes has a default value of {'x': 0.02, 'y': 0.02, 'z': 0.02}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'id': {'required': False, 'dest': 'env.robot.id', 'default': None, 'help': 'Allows to distinguish between different robots of the same type', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'calibration_dir': {'required': False, 'dest': 'env.robot.calibration_dir', 'default': None, 'help': 'Directory to store calibration file', 'type': typing.Optional[pathlib._local.Path]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'port': {'required': False, 'dest': 'env.robot.port', 'default': None, 'help': 'Port to connect to the arm', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'disable_torque_on_disconnect': {'required': False, 'dest': 'env.robot.disable_torque_on_disconnect', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_relative_target': {'required': False, 'dest': 'env.robot.max_relative_target', 'default': None, 'help': '`max_relative_target` limits the magnitude of the relative positional target vector for safety purposes.\nSet this to a positive scalar to have the same value for all motors, or a list that is the same length as\nthe number of motors in your follower arms.', 'type': typing.Optional[int]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'cameras': {'required': False, 'dest': 'env.robot.cameras', 'default': {}, 'help': 'cameras', 'type': typing.Dict[str, lerobot.cameras.configs.CameraConfig]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_degrees': {'required': False, 'dest': 'env.robot.use_degrees', 'default': False, 'help': 'Set to `True` for backward compatibility with previous policies/dataset', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'id': {'required': False, 'dest': 'env.robot.id', 'default': None, 'help': 'Allows to distinguish between different robots of the same type', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'calibration_dir': {'required': False, 'dest': 'env.robot.calibration_dir', 'default': None, 'help': 'Directory to store calibration file', 'type': typing.Optional[pathlib._local.Path]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'port': {'required': False, 'dest': 'env.robot.port', 'default': None, 'help': 'Port to connect to the arm', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'disable_torque_on_disconnect': {'required': False, 'dest': 'env.robot.disable_torque_on_disconnect', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_relative_target': {'required': False, 'dest': 'env.robot.max_relative_target', 'default': None, 'help': '`max_relative_target` limits the magnitude of the relative positional target vector for safety purposes.\nSet this to a positive scalar to have the same value for all motors, or a list that is the same length as\nthe number of motors in your follower arms.', 'type': typing.Optional[int]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'cameras': {'required': False, 'dest': 'env.robot.cameras', 'default': {}, 'help': 'cameras', 'type': typing.Dict[str, lerobot.cameras.configs.CameraConfig]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_degrees': {'required': False, 'dest': 'env.robot.use_degrees', 'default': False, 'help': 'Set to `True` for backward compatibility with previous policies/dataset', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'urdf_path': {'required': False, 'dest': 'env.robot.urdf_path', 'default': None, 'help': 'Path to URDF file for kinematics\nNOTE: It is highly recommended to use the urdf in the SO-ARM100 repo:\nhttps://github.com/TheRobotStudio/SO-ARM100/blob/main/Simulation/SO101/so101_new_calib.urdf', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'target_frame_name': {'required': False, 'dest': 'env.robot.target_frame_name', 'default': 'gripper_frame_link', 'help': 'End-effector frame name in the URDF', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'end_effector_bounds': {'required': False, 'dest': 'env.robot.end_effector_bounds', 'default': {'min': [-1.0, -1.0, -1.0], 'max': [1.0, 1.0, 1.0]}, 'help': 'Default bounds for the end-effector position (in meters)', 'type': typing.Dict[str, typing.List[float]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_gripper_pos': {'required': False, 'dest': 'env.robot.max_gripper_pos', 'default': 50, 'help': '\n', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'end_effector_step_sizes': {'required': False, 'dest': 'env.robot.end_effector_step_sizes', 'default': {'x': 0.02, 'y': 0.02, 'z': 0.02}, 'help': ' ', 'type': typing.Dict[str, float]}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.teleop.id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.teleop.calibration_dir has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.teleop.use_gripper has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.teleop.id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.teleop.calibration_dir has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.teleop.port has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.teleop.use_degrees has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'id': {'required': False, 'dest': 'env.teleop.id', 'default': None, 'help': 'Allows to distinguish between different teleoperators of the same type', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:     @property
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'calibration_dir': {'required': False, 'dest': 'env.teleop.calibration_dir', 'default': None, 'help': 'Directory to store calibration file', 'type': typing.Optional[pathlib._local.Path]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_gripper': {'required': False, 'dest': 'env.teleop.use_gripper', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'id': {'required': False, 'dest': 'env.teleop.id', 'default': None, 'help': 'Allows to distinguish between different teleoperators of the same type', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:     @property
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'calibration_dir': {'required': False, 'dest': 'env.teleop.calibration_dir', 'default': None, 'help': 'Directory to store calibration file', 'type': typing.Optional[pathlib._local.Path]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'port': {'required': False, 'dest': 'env.teleop.port', 'default': None, 'help': 'Port to connect to the arm', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_degrees': {'required': False, 'dest': 'env.teleop.use_degrees', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.control_mode has a default value of gamepad
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.display_cameras has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.add_joint_velocity_to_observation has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.add_current_to_observation has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.add_ee_pose_to_observation has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.wrapper.crop_params_dict has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.wrapper.resize_size has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.control_time_s has a default value of 20.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.wrapper.fixed_reset_joint_positions has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.reset_time_s has a default value of 5.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.use_gripper has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.wrapper.gripper_quantization_threshold has a default value of 0.8
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.gripper_penalty has a default value of 0.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.gripper_penalty_in_reward has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'control_mode': {'required': False, 'dest': 'env.wrapper.control_mode', 'default': 'gamepad', 'help': 'ee_action_space_params: EEActionSpaceConfig = field(default_factory=EEActionSpaceConfig)', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'display_cameras': {'required': False, 'dest': 'env.wrapper.display_cameras', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'add_joint_velocity_to_observation': {'required': False, 'dest': 'env.wrapper.add_joint_velocity_to_observation', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'add_current_to_observation': {'required': False, 'dest': 'env.wrapper.add_current_to_observation', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'add_ee_pose_to_observation': {'required': False, 'dest': 'env.wrapper.add_ee_pose_to_observation', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'crop_params_dict': {'required': False, 'dest': 'env.wrapper.crop_params_dict', 'default': None, 'type': typing.Optional[typing.Dict[str, typing.Tuple[int, int, int, int]]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'resize_size': {'required': False, 'dest': 'env.wrapper.resize_size', 'default': None, 'type': typing.Optional[typing.Tuple[int, int]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'control_time_s': {'required': False, 'dest': 'env.wrapper.control_time_s', 'default': 20.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'fixed_reset_joint_positions': {'required': False, 'dest': 'env.wrapper.fixed_reset_joint_positions', 'default': None, 'type': typing.Optional[typing.Any]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'reset_time_s': {'required': False, 'dest': 'env.wrapper.reset_time_s', 'default': 5.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_gripper': {'required': False, 'dest': 'env.wrapper.use_gripper', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'gripper_quantization_threshold': {'required': False, 'dest': 'env.wrapper.gripper_quantization_threshold', 'default': 0.8, 'help': ' ', 'type': typing.Optional[float]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'gripper_penalty': {'required': False, 'dest': 'env.wrapper.gripper_penalty', 'default': 0.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'gripper_penalty_in_reward': {'required': False, 'dest': 'env.wrapper.gripper_penalty_in_reward', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'name': {'required': False, 'dest': 'env.name', 'default': 'real_robot', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'mode': {'required': False, 'dest': 'env.mode', 'default': None, 'help': 'Either "record", "replay", None', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'repo_id': {'required': False, 'dest': 'env.repo_id', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'dataset_root': {'required': False, 'dest': 'env.dataset_root', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_episodes': {'required': False, 'dest': 'env.num_episodes', 'default': 10, 'help': 'only for record mode', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'episode': {'required': False, 'dest': 'env.episode', 'default': 0, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'device': {'required': False, 'dest': 'env.device', 'default': 'cuda', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'push_to_hub': {'required': False, 'dest': 'env.push_to_hub', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'pretrained_policy_name_or_path': {'required': False, 'dest': 'env.pretrained_policy_name_or_path', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'reward_classifier_pretrained_path': {'required': False, 'dest': 'env.reward_classifier_pretrained_path', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:     @property
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'number_of_steps_after_success': {'required': False, 'dest': 'env.number_of_steps_after_success', 'default': 0, 'help': 'For the reward classifier, to record more positive examples after a success', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'task': {'required': False, 'dest': 'env.task', 'default': 'PandaPickCubeKeyboard-v0', 'help': ' ', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'fps': {'required': False, 'dest': 'env.fps', 'default': 100, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'features': {'required': False, 'dest': 'env.features', 'default': {'action': PolicyFeature(type=<FeatureType.ACTION: 'ACTION'>, shape=(4,)), 'observation.image': PolicyFeature(type=<FeatureType.VISUAL: 'VISUAL'>, shape=(3, 128, 128)), 'observation.state': PolicyFeature(type=<FeatureType.STATE: 'STATE'>, shape=(18,))}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'features_map': {'required': False, 'dest': 'env.features_map', 'default': {'action': 'action', 'observation.image': 'observation.image', 'observation.state': 'observation.state'}, 'help': '\n', 'type': typing.Dict[str, str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'name': {'required': False, 'dest': 'env.name', 'default': 'PandaPickCube', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_viewer': {'required': False, 'dest': 'env.use_viewer', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'gripper_penalty': {'required': False, 'dest': 'env.gripper_penalty', 'default': 0.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_gamepad': {'required': False, 'dest': 'env.use_gamepad', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'state_dim': {'required': False, 'dest': 'env.state_dim', 'default': 18, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'action_dim': {'required': False, 'dest': 'env.action_dim', 'default': 4, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'episode_length': {'required': False, 'dest': 'env.episode_length', 'default': 100, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'random_block_position': {'required': False, 'dest': 'env.random_block_position', 'default': False, 'help': 'Add flag to randomize cube position', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'enabled': {'required': False, 'dest': 'env.video_record.enabled', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'record_dir': {'required': False, 'dest': 'env.video_record.record_dir', 'default': 'videos', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'trajectory_name': {'required': False, 'dest': 'env.video_record.trajectory_name', 'default': 'trajectory', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'reward_classifier_pretrained_path': {'required': False, 'dest': 'env.reward_classifier_pretrained_path', 'default': None, 'help': '\n\n################ args from hilserlrobotenv', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot_config.id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot_config.calibration_dir has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot_config.port has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot_config.disable_torque_on_disconnect has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot_config.max_relative_target has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot_config.cameras has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot_config.use_degrees has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot_config.id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot_config.calibration_dir has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot_config.port has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot_config.disable_torque_on_disconnect has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot_config.max_relative_target has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot_config.cameras has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot_config.use_degrees has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot_config.urdf_path has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot_config.target_frame_name has a default value of gripper_frame_link
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot_config.end_effector_bounds has a default value of {'min': [-1.0, -1.0, -1.0], 'max': [1.0, 1.0, 1.0]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.robot_config.max_gripper_pos has a default value of 50
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.robot_config.end_effector_step_sizes has a default value of {'x': 0.02, 'y': 0.02, 'z': 0.02}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'id': {'required': False, 'dest': 'env.robot_config.id', 'default': None, 'help': 'Allows to distinguish between different robots of the same type', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'calibration_dir': {'required': False, 'dest': 'env.robot_config.calibration_dir', 'default': None, 'help': 'Directory to store calibration file', 'type': typing.Optional[pathlib._local.Path]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'port': {'required': False, 'dest': 'env.robot_config.port', 'default': None, 'help': 'Port to connect to the arm', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'disable_torque_on_disconnect': {'required': False, 'dest': 'env.robot_config.disable_torque_on_disconnect', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_relative_target': {'required': False, 'dest': 'env.robot_config.max_relative_target', 'default': None, 'help': '`max_relative_target` limits the magnitude of the relative positional target vector for safety purposes.\nSet this to a positive scalar to have the same value for all motors, or a list that is the same length as\nthe number of motors in your follower arms.', 'type': typing.Optional[int]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'cameras': {'required': False, 'dest': 'env.robot_config.cameras', 'default': {}, 'help': 'cameras', 'type': typing.Dict[str, lerobot.cameras.configs.CameraConfig]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_degrees': {'required': False, 'dest': 'env.robot_config.use_degrees', 'default': False, 'help': 'Set to `True` for backward compatibility with previous policies/dataset', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'id': {'required': False, 'dest': 'env.robot_config.id', 'default': None, 'help': 'Allows to distinguish between different robots of the same type', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'calibration_dir': {'required': False, 'dest': 'env.robot_config.calibration_dir', 'default': None, 'help': 'Directory to store calibration file', 'type': typing.Optional[pathlib._local.Path]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'port': {'required': False, 'dest': 'env.robot_config.port', 'default': None, 'help': 'Port to connect to the arm', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'disable_torque_on_disconnect': {'required': False, 'dest': 'env.robot_config.disable_torque_on_disconnect', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_relative_target': {'required': False, 'dest': 'env.robot_config.max_relative_target', 'default': None, 'help': '`max_relative_target` limits the magnitude of the relative positional target vector for safety purposes.\nSet this to a positive scalar to have the same value for all motors, or a list that is the same length as\nthe number of motors in your follower arms.', 'type': typing.Optional[int]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'cameras': {'required': False, 'dest': 'env.robot_config.cameras', 'default': {}, 'help': 'cameras', 'type': typing.Dict[str, lerobot.cameras.configs.CameraConfig]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_degrees': {'required': False, 'dest': 'env.robot_config.use_degrees', 'default': False, 'help': 'Set to `True` for backward compatibility with previous policies/dataset', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'urdf_path': {'required': False, 'dest': 'env.robot_config.urdf_path', 'default': None, 'help': 'Path to URDF file for kinematics\nNOTE: It is highly recommended to use the urdf in the SO-ARM100 repo:\nhttps://github.com/TheRobotStudio/SO-ARM100/blob/main/Simulation/SO101/so101_new_calib.urdf', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'target_frame_name': {'required': False, 'dest': 'env.robot_config.target_frame_name', 'default': 'gripper_frame_link', 'help': 'End-effector frame name in the URDF', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'end_effector_bounds': {'required': False, 'dest': 'env.robot_config.end_effector_bounds', 'default': {'min': [-1.0, -1.0, -1.0], 'max': [1.0, 1.0, 1.0]}, 'help': 'Default bounds for the end-effector position (in meters)', 'type': typing.Dict[str, typing.List[float]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_gripper_pos': {'required': False, 'dest': 'env.robot_config.max_gripper_pos', 'default': 50, 'help': '\n', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'end_effector_step_sizes': {'required': False, 'dest': 'env.robot_config.end_effector_step_sizes', 'default': {'x': 0.02, 'y': 0.02, 'z': 0.02}, 'help': ' ', 'type': typing.Dict[str, float]}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.teleop_config.id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.teleop_config.calibration_dir has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.teleop_config.use_gripper has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.teleop_config.id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.teleop_config.calibration_dir has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.teleop_config.port has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.teleop_config.use_degrees has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'id': {'required': False, 'dest': 'env.teleop_config.id', 'default': None, 'help': 'Allows to distinguish between different teleoperators of the same type', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:     @property
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'calibration_dir': {'required': False, 'dest': 'env.teleop_config.calibration_dir', 'default': None, 'help': 'Directory to store calibration file', 'type': typing.Optional[pathlib._local.Path]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_gripper': {'required': False, 'dest': 'env.teleop_config.use_gripper', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'id': {'required': False, 'dest': 'env.teleop_config.id', 'default': None, 'help': 'Allows to distinguish between different teleoperators of the same type', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:     @property
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'calibration_dir': {'required': False, 'dest': 'env.teleop_config.calibration_dir', 'default': None, 'help': 'Directory to store calibration file', 'type': typing.Optional[pathlib._local.Path]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'port': {'required': False, 'dest': 'env.teleop_config.port', 'default': None, 'help': 'Port to connect to the arm', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_degrees': {'required': False, 'dest': 'env.teleop_config.use_degrees', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.control_mode has a default value of gamepad
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.display_cameras has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.add_joint_velocity_to_observation has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.add_current_to_observation has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.add_ee_pose_to_observation has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.wrapper.crop_params_dict has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.wrapper.resize_size has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.control_time_s has a default value of 20.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.wrapper.fixed_reset_joint_positions has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.reset_time_s has a default value of 5.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.use_gripper has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at env.wrapper.gripper_quantization_threshold has a default value of 0.8
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.gripper_penalty has a default value of 0.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at env.wrapper.gripper_penalty_in_reward has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'control_mode': {'required': False, 'dest': 'env.wrapper.control_mode', 'default': 'gamepad', 'help': 'ee_action_space_params: EEActionSpaceConfig = field(default_factory=EEActionSpaceConfig)', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'display_cameras': {'required': False, 'dest': 'env.wrapper.display_cameras', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'add_joint_velocity_to_observation': {'required': False, 'dest': 'env.wrapper.add_joint_velocity_to_observation', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'add_current_to_observation': {'required': False, 'dest': 'env.wrapper.add_current_to_observation', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'add_ee_pose_to_observation': {'required': False, 'dest': 'env.wrapper.add_ee_pose_to_observation', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'crop_params_dict': {'required': False, 'dest': 'env.wrapper.crop_params_dict', 'default': None, 'type': typing.Optional[typing.Dict[str, typing.Tuple[int, int, int, int]]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'resize_size': {'required': False, 'dest': 'env.wrapper.resize_size', 'default': None, 'type': typing.Optional[typing.Tuple[int, int]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'control_time_s': {'required': False, 'dest': 'env.wrapper.control_time_s', 'default': 20.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'fixed_reset_joint_positions': {'required': False, 'dest': 'env.wrapper.fixed_reset_joint_positions', 'default': None, 'type': typing.Optional[typing.Any]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'reset_time_s': {'required': False, 'dest': 'env.wrapper.reset_time_s', 'default': 5.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_gripper': {'required': False, 'dest': 'env.wrapper.use_gripper', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'gripper_quantization_threshold': {'required': False, 'dest': 'env.wrapper.gripper_quantization_threshold', 'default': 0.8, 'help': ' ', 'type': typing.Optional[float]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'gripper_penalty': {'required': False, 'dest': 'env.wrapper.gripper_penalty', 'default': 0.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'gripper_penalty_in_reward': {'required': False, 'dest': 'env.wrapper.gripper_penalty_in_reward', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'mode': {'required': False, 'dest': 'env.mode', 'default': None, 'help': 'Either "record", "replay", None', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'repo_id': {'required': False, 'dest': 'env.repo_id', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'dataset_root': {'required': False, 'dest': 'env.dataset_root', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_episodes': {'required': False, 'dest': 'env.num_episodes', 'default': 10, 'help': 'only for record mode', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'episode': {'required': False, 'dest': 'env.episode', 'default': 0, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'device': {'required': False, 'dest': 'env.device', 'default': 'cuda', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'push_to_hub': {'required': False, 'dest': 'env.push_to_hub', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'pretrained_policy_name_or_path': {'required': False, 'dest': 'env.pretrained_policy_name_or_path', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'number_of_steps_after_success': {'required': False, 'dest': 'env.number_of_steps_after_success', 'default': 0, 'help': 'For the reward classifier, to record more positive examples after a success', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.n_obs_steps has a default value of 1
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.normalization_mapping has a default value of {'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.input_features has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.output_features has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.device has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.use_amp has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.push_to_hub has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.repo_id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.private has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.tags has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.license has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.chunk_size has a default value of 100
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.n_action_steps has a default value of 100
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.vision_backbone has a default value of resnet18
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.pretrained_backbone_weights has a default value of ResNet18_Weights.IMAGENET1K_V1
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.replace_final_stride_with_dilation has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.pre_norm has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.dim_model has a default value of 512
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.n_heads has a default value of 8
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.dim_feedforward has a default value of 3200
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.feedforward_activation has a default value of relu
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.n_encoder_layers has a default value of 4
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+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.bet_softmax_temperature has a default value of 0.1
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.sequentially_select has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.optimizer_lr has a default value of 0.0001
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.optimizer_betas has a default value of (0.95, 0.999)
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.optimizer_eps has a default value of 1e-08
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.optimizer_weight_decay has a default value of 1e-06
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.optimizer_vqvae_lr has a default value of 0.001
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.optimizer_vqvae_weight_decay has a default value of 0.0001
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.scheduler_warmup_steps has a default value of 500
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.n_obs_steps has a default value of 1
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.normalization_mapping has a default value of {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.input_features has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.output_features has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.device has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.use_amp has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.push_to_hub has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.repo_id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.private has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.tags has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.license has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.chunk_size has a default value of 10
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.n_action_steps has a default value of 5
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.max_state_dim has a default value of 32
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.max_action_dim has a default value of 32
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.resize_imgs_with_padding has a default value of (224, 224)
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.interpolate_like_pi has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.empty_cameras has a default value of 0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.adapt_to_pi_aloha has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.use_delta_joint_actions_aloha has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.tokenizer_max_length has a default value of 48
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.proj_width has a default value of 1024
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.max_decoding_steps has a default value of 256
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.fast_skip_tokens has a default value of 128
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.max_input_seq_len has a default value of 256
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.use_cache has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.freeze_vision_encoder has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.freeze_lm_head has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.optimizer_lr has a default value of 0.0001
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.optimizer_betas has a default value of (0.9, 0.95)
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.optimizer_eps has a default value of 1e-08
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.optimizer_weight_decay has a default value of 1e-05
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.scheduler_warmup_steps has a default value of 1000
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.scheduler_decay_steps has a default value of 30000
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.scheduler_decay_lr has a default value of 2.5e-06
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.checkpoint_path has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.padding_side has a default value of right
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.precision has a default value of bfloat16
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.grad_clip_norm has a default value of 1
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.relaxed_action_decoding has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.n_obs_steps has a default value of 1
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.normalization_mapping has a default value of {'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'STATE': <NormalizationMode.MIN_MAX: 'MIN_MAX'>, 'ENV': <NormalizationMode.MIN_MAX: 'MIN_MAX'>, 'ACTION': <NormalizationMode.MIN_MAX: 'MIN_MAX'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.input_features has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.output_features has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.device has a default value of cpu
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.use_amp has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.push_to_hub has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.repo_id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.private has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.tags has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.license has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.dataset_stats has a default value of {'observation.image': {'mean': [0.485, 0.456, 0.406], 'std': [0.229, 0.224, 0.225]}, 'observation.state': {'min': [0.0, 0.0], 'max': [1.0, 1.0]}, 'action': {'min': [0.0, 0.0, 0.0], 'max': [1.0, 1.0, 1.0]}}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.storage_device has a default value of cpu
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.vision_encoder_name has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.freeze_vision_encoder has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.image_encoder_hidden_dim has a default value of 32
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.shared_encoder has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.num_discrete_actions has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.image_embedding_pooling_dim has a default value of 8
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.online_steps has a default value of 1000000
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.online_env_seed has a default value of 10000
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.online_buffer_capacity has a default value of 100000
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.offline_buffer_capacity has a default value of 100000
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.async_prefetch has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.online_step_before_learning has a default value of 100
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.policy_update_freq has a default value of 1
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.discount has a default value of 0.99
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.temperature_init has a default value of 1.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.num_critics has a default value of 2
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.num_subsample_critics has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.critic_lr has a default value of 0.0003
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.actor_lr has a default value of 0.0003
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.temperature_lr has a default value of 0.0003
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.critic_target_update_weight has a default value of 0.005
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.utd_ratio has a default value of 1
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.state_encoder_hidden_dim has a default value of 256
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.latent_dim has a default value of 256
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.target_entropy has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.use_backup_entropy has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.grad_clip_norm has a default value of 40.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.critic_network_kwargs.hidden_dims has a default value of [256, 256]
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.critic_network_kwargs.activate_final has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.critic_network_kwargs.final_activation has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.actor_network_kwargs.hidden_dims has a default value of [256, 256]
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.actor_network_kwargs.activate_final has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.policy_kwargs.use_tanh_squash has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.policy_kwargs.std_min has a default value of 1e-05
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.policy_kwargs.std_max has a default value of 10.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.policy_kwargs.init_final has a default value of 0.05
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.discrete_critic_network_kwargs.hidden_dims has a default value of [256, 256]
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.discrete_critic_network_kwargs.activate_final has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.discrete_critic_network_kwargs.final_activation has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.actor_learner_config.learner_host has a default value of 127.0.0.1
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.actor_learner_config.learner_port has a default value of 50051
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.actor_learner_config.policy_parameters_push_frequency has a default value of 4
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.actor_learner_config.queue_get_timeout has a default value of 2
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.concurrency.actor has a default value of threads
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.concurrency.learner has a default value of threads
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.use_torch_compile has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.n_obs_steps has a default value of 1
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.normalization_mapping has a default value of {'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.input_features has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.output_features has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.device has a default value of cpu
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.use_amp has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.push_to_hub has a default value of True
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.repo_id has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.private has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.tags has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at policy.license has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.name has a default value of reward_classifier
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.num_classes has a default value of 2
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.hidden_dim has a default value of 256
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.latent_dim has a default value of 256
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.image_embedding_pooling_dim has a default value of 8
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.dropout_rate has a default value of 0.1
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.model_name has a default value of helper2424/resnet10
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.model_type has a default value of cnn
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.num_cameras has a default value of 2
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.learning_rate has a default value of 0.0001
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.weight_decay has a default value of 0.01
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at policy.grad_clip_norm has a default value of 1.0
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             current step and additional steps going back).
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_obs_steps': {'required': False, 'dest': 'policy.n_obs_steps', 'default': 1, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'normalization_mapping': {'required': False, 'dest': 'policy.normalization_mapping', 'default': {'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.NormalizationMode]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'input_features': {'required': False, 'dest': 'policy.input_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'output_features': {'required': False, 'dest': 'policy.output_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'device': {'required': False, 'dest': 'policy.device', 'default': None, 'help': 'cuda | cpu | mp', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_amp': {'required': False, 'dest': 'policy.use_amp', 'default': False, 'help': '`use_amp` determines whether to use Automatic Mixed Precision (AMP) for training and evaluation. With AMP,\nautomatic gradient scaling is used.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'push_to_hub': {'required': False, 'dest': 'policy.push_to_hub', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'repo_id': {'required': False, 'dest': 'policy.repo_id', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'private': {'required': False, 'dest': 'policy.private', 'default': None, 'help': 'Upload on private repository on the Hugging Face hub.', 'type': typing.Optional[bool]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'tags': {'required': False, 'dest': 'policy.tags', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[typing.List[str]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'license': {'required': False, 'dest': 'policy.license', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'chunk_size': {'required': False, 'dest': 'policy.chunk_size', 'default': 100, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             This should be no greater than the chunk size. For example, if the chunk size size 100, you may
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_action_steps': {'required': False, 'dest': 'policy.n_action_steps', 'default': 100, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'vision_backbone': {'required': False, 'dest': 'policy.vision_backbone', 'default': 'resnet18', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             `None` means no pretrained weights.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'pretrained_backbone_weights': {'required': False, 'dest': 'policy.pretrained_backbone_weights', 'default': 'ResNet18_Weights.IMAGENET1K_V1', 'help': ' ', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             convolution.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'replace_final_stride_with_dilation': {'required': False, 'dest': 'policy.replace_final_stride_with_dilation', 'default': False, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'pre_norm': {'required': False, 'dest': 'policy.pre_norm', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'dim_model': {'required': False, 'dest': 'policy.dim_model', 'default': 512, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_heads': {'required': False, 'dest': 'policy.n_heads', 'default': 8, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             layers.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'dim_feedforward': {'required': False, 'dest': 'policy.dim_feedforward', 'default': 3200, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'feedforward_activation': {'required': False, 'dest': 'policy.feedforward_activation', 'default': 'relu', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_encoder_layers': {'required': False, 'dest': 'policy.n_encoder_layers', 'default': 4, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_decoder_layers': {'required': False, 'dest': 'policy.n_decoder_layers', 'default': 1, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             which is used as the VAE's encoder (not to be confused with the transformer encoder - see
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_vae': {'required': False, 'dest': 'policy.use_vae', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'latent_dim': {'required': False, 'dest': 'policy.latent_dim', 'default': 32, 'help': '\n', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_vae_encoder_layers': {'required': False, 'dest': 'policy.n_vae_encoder_layers', 'default': 4, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             ensembling. Defaults to None which means temporal ensembling is not used. `n_action_steps` must be
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'temporal_ensemble_coeff': {'required': False, 'dest': 'policy.temporal_ensemble_coeff', 'default': None, 'type': typing.Optional[float]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'dropout': {'required': False, 'dest': 'policy.dropout', 'default': 0.1, 'help': '\n\n', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'kl_weight': {'required': False, 'dest': 'policy.kl_weight', 'default': 10.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_lr': {'required': False, 'dest': 'policy.optimizer_lr', 'default': 1e-05, 'help': 'Training preset', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_weight_decay': {'required': False, 'dest': 'policy.optimizer_weight_decay', 'default': 0.0001, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_lr_backbone': {'required': False, 'dest': 'policy.optimizer_lr_backbone', 'default': 1e-05, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             current step and additional steps going back).
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_obs_steps': {'required': False, 'dest': 'policy.n_obs_steps', 'default': 2, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'normalization_mapping': {'required': False, 'dest': 'policy.normalization_mapping', 'default': {'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'STATE': <NormalizationMode.MIN_MAX: 'MIN_MAX'>, 'ACTION': <NormalizationMode.MIN_MAX: 'MIN_MAX'>}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.NormalizationMode]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'input_features': {'required': False, 'dest': 'policy.input_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'output_features': {'required': False, 'dest': 'policy.output_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'device': {'required': False, 'dest': 'policy.device', 'default': None, 'help': 'cuda | cpu | mp', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_amp': {'required': False, 'dest': 'policy.use_amp', 'default': False, 'help': '`use_amp` determines whether to use Automatic Mixed Precision (AMP) for training and evaluation. With AMP,\nautomatic gradient scaling is used.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'push_to_hub': {'required': False, 'dest': 'policy.push_to_hub', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'repo_id': {'required': False, 'dest': 'policy.repo_id', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'private': {'required': False, 'dest': 'policy.private', 'default': None, 'help': 'Upload on private repository on the Hugging Face hub.', 'type': typing.Optional[bool]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'tags': {'required': False, 'dest': 'policy.tags', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[typing.List[str]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'license': {'required': False, 'dest': 'policy.license', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'horizon': {'required': False, 'dest': 'policy.horizon', 'default': 16, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             See `DiffusionPolicy.select_action` for more details.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_action_steps': {'required': False, 'dest': 'policy.n_action_steps', 'default': 8, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'drop_n_last_frames': {'required': False, 'dest': 'policy.drop_n_last_frames', 'default': 7, 'help': 'horizon - n_action_steps - n_obs_steps + 1', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'vision_backbone': {'required': False, 'dest': 'policy.vision_backbone', 'default': 'resnet18', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             within the image size. If None, no cropping is done.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'crop_shape': {'required': False, 'dest': 'policy.crop_shape', 'default': (84, 84), 'help': ' ', 'type': typing.Optional[typing.Tuple[int, int]]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             mode).
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'crop_is_random': {'required': False, 'dest': 'policy.crop_is_random', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             `None` means no pretrained weights.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'pretrained_backbone_weights': {'required': False, 'dest': 'policy.pretrained_backbone_weights', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             The group sizes are set to be about 16 (to be precise, feature_dim // 16).
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_group_norm': {'required': False, 'dest': 'policy.use_group_norm', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'spatial_softmax_num_keypoints': {'required': False, 'dest': 'policy.spatial_softmax_num_keypoints', 'default': 32, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_separate_rgb_encoder_per_camera': {'required': False, 'dest': 'policy.use_separate_rgb_encoder_per_camera', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             You may provide a variable number of dimensions, therefore also controlling the degree of
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'down_dims': {'required': False, 'dest': 'policy.down_dims', 'default': (512, 1024, 2048), 'help': ' ', 'type': typing.Tuple[int, ...]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'kernel_size': {'required': False, 'dest': 'policy.kernel_size', 'default': 5, 'help': '\n', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_groups': {'required': False, 'dest': 'policy.n_groups', 'default': 8, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             network. This is the output dimension of that network, i.e., the embedding dimension.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'diffusion_step_embed_dim': {'required': False, 'dest': 'policy.diffusion_step_embed_dim', 'default': 128, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_film_scale_modulation': {'required': False, 'dest': 'policy.use_film_scale_modulation', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'noise_scheduler_type': {'required': False, 'dest': 'policy.noise_scheduler_type', 'default': 'DDPM', 'help': 'Noise scheduler.', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_train_timesteps': {'required': False, 'dest': 'policy.num_train_timesteps', 'default': 100, 'help': '\n\n\n\n', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'beta_schedule': {'required': False, 'dest': 'policy.beta_schedule', 'default': 'squaredcos_cap_v2', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'beta_start': {'required': False, 'dest': 'policy.beta_start', 'default': 0.0001, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'beta_end': {'required': False, 'dest': 'policy.beta_end', 'default': 0.02, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             or "sample". These have equivalent outcomes from a latent variable modeling perspective, but
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'prediction_type': {'required': False, 'dest': 'policy.prediction_type', 'default': 'epsilon', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'clip_sample': {'required': False, 'dest': 'policy.clip_sample', 'default': True, 'help': '\n', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'clip_sample_range': {'required': False, 'dest': 'policy.clip_sample_range', 'default': 1.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             spaced). If not provided, this defaults to be the same as `num_train_timesteps`.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_inference_steps': {'required': False, 'dest': 'policy.num_inference_steps', 'default': None, 'type': typing.Optional[int]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             `LeRobotDataset` and `load_previous_and_future_frames` for more information. Note, this defaults
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'do_mask_loss_for_padding': {'required': False, 'dest': 'policy.do_mask_loss_for_padding', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_lr': {'required': False, 'dest': 'policy.optimizer_lr', 'default': 0.0001, 'help': 'Training presets', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_betas': {'required': False, 'dest': 'policy.optimizer_betas', 'default': (0.95, 0.999), 'help': ' ', 'type': <class 'tuple'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_eps': {'required': False, 'dest': 'policy.optimizer_eps', 'default': 1e-08, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_weight_decay': {'required': False, 'dest': 'policy.optimizer_weight_decay', 'default': 1e-06, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'scheduler_name': {'required': False, 'dest': 'policy.scheduler_name', 'default': 'cosine', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'scheduler_warmup_steps': {'required': False, 'dest': 'policy.scheduler_warmup_steps', 'default': 500, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_obs_steps': {'required': False, 'dest': 'policy.n_obs_steps', 'default': 1, 'help': 'Input / output structure.', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'normalization_mapping': {'required': False, 'dest': 'policy.normalization_mapping', 'default': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.NormalizationMode]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'input_features': {'required': False, 'dest': 'policy.input_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'output_features': {'required': False, 'dest': 'policy.output_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'device': {'required': False, 'dest': 'policy.device', 'default': None, 'help': 'cuda | cpu | mp', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_amp': {'required': False, 'dest': 'policy.use_amp', 'default': False, 'help': '`use_amp` determines whether to use Automatic Mixed Precision (AMP) for training and evaluation. With AMP,\nautomatic gradient scaling is used.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'push_to_hub': {'required': False, 'dest': 'policy.push_to_hub', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'repo_id': {'required': False, 'dest': 'policy.repo_id', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'private': {'required': False, 'dest': 'policy.private', 'default': None, 'help': 'Upload on private repository on the Hugging Face hub.', 'type': typing.Optional[bool]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'tags': {'required': False, 'dest': 'policy.tags', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[typing.List[str]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'license': {'required': False, 'dest': 'policy.license', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'chunk_size': {'required': False, 'dest': 'policy.chunk_size', 'default': 50, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_action_steps': {'required': False, 'dest': 'policy.n_action_steps', 'default': 50, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_state_dim': {'required': False, 'dest': 'policy.max_state_dim', 'default': 32, 'help': '\n\nShorter state and action vectors will be padded', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_action_dim': {'required': False, 'dest': 'policy.max_action_dim', 'default': 32, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'resize_imgs_with_padding': {'required': False, 'dest': 'policy.resize_imgs_with_padding', 'default': (224, 224), 'help': 'Image preprocessing', 'type': typing.Tuple[int, int]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'empty_cameras': {'required': False, 'dest': 'policy.empty_cameras', 'default': 0, 'help': 'Add empty images. Used by pi0_aloha_sim which adds the empty\nleft and right wrist cameras in addition to the top camera.', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'adapt_to_pi_aloha': {'required': False, 'dest': 'policy.adapt_to_pi_aloha', 'default': False, 'help': 'Converts the joint and gripper values from the standard Aloha space to\nthe space used by the pi internal runtime which was used to train the base model.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_delta_joint_actions_aloha': {'required': False, 'dest': 'policy.use_delta_joint_actions_aloha', 'default': False, 'help': 'Converts joint dimensions to deltas with respect to the current state before passing to the model.\nGripper dimensions will remain in absolute values.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'tokenizer_max_length': {'required': False, 'dest': 'policy.tokenizer_max_length', 'default': 48, 'help': 'Tokenizer', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'proj_width': {'required': False, 'dest': 'policy.proj_width', 'default': 1024, 'help': 'Projector', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_steps': {'required': False, 'dest': 'policy.num_steps', 'default': 10, 'help': 'Decoding', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_cache': {'required': False, 'dest': 'policy.use_cache', 'default': True, 'help': 'Attention utils', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'attention_implementation': {'required': False, 'dest': 'policy.attention_implementation', 'default': 'eager', 'help': 'or fa2, flex', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'freeze_vision_encoder': {'required': False, 'dest': 'policy.freeze_vision_encoder', 'default': True, 'help': 'Finetuning settings', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'train_expert_only': {'required': False, 'dest': 'policy.train_expert_only', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'train_state_proj': {'required': False, 'dest': 'policy.train_state_proj', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_lr': {'required': False, 'dest': 'policy.optimizer_lr', 'default': 2.5e-05, 'help': 'Training presets', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_betas': {'required': False, 'dest': 'policy.optimizer_betas', 'default': (0.9, 0.95), 'help': ' ', 'type': typing.Tuple[float, float]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_eps': {'required': False, 'dest': 'policy.optimizer_eps', 'default': 1e-08, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_weight_decay': {'required': False, 'dest': 'policy.optimizer_weight_decay', 'default': 1e-10, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'scheduler_warmup_steps': {'required': False, 'dest': 'policy.scheduler_warmup_steps', 'default': 1000, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'scheduler_decay_steps': {'required': False, 'dest': 'policy.scheduler_decay_steps', 'default': 30000, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'scheduler_decay_lr': {'required': False, 'dest': 'policy.scheduler_decay_lr', 'default': 2.5e-06, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_obs_steps': {'required': False, 'dest': 'policy.n_obs_steps', 'default': 1, 'help': 'Input / output structure.', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'normalization_mapping': {'required': False, 'dest': 'policy.normalization_mapping', 'default': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.NormalizationMode]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'input_features': {'required': False, 'dest': 'policy.input_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'output_features': {'required': False, 'dest': 'policy.output_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'device': {'required': False, 'dest': 'policy.device', 'default': None, 'help': 'cuda | cpu | mp', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_amp': {'required': False, 'dest': 'policy.use_amp', 'default': False, 'help': '`use_amp` determines whether to use Automatic Mixed Precision (AMP) for training and evaluation. With AMP,\nautomatic gradient scaling is used.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'push_to_hub': {'required': False, 'dest': 'policy.push_to_hub', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'repo_id': {'required': False, 'dest': 'policy.repo_id', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'private': {'required': False, 'dest': 'policy.private', 'default': None, 'help': 'Upload on private repository on the Hugging Face hub.', 'type': typing.Optional[bool]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'tags': {'required': False, 'dest': 'policy.tags', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[typing.List[str]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'license': {'required': False, 'dest': 'policy.license', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'chunk_size': {'required': False, 'dest': 'policy.chunk_size', 'default': 50, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_action_steps': {'required': False, 'dest': 'policy.n_action_steps', 'default': 50, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_state_dim': {'required': False, 'dest': 'policy.max_state_dim', 'default': 32, 'help': '\n\nShorter state and action vectors will be padded', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_action_dim': {'required': False, 'dest': 'policy.max_action_dim', 'default': 32, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'resize_imgs_with_padding': {'required': False, 'dest': 'policy.resize_imgs_with_padding', 'default': (512, 512), 'help': 'Image preprocessing', 'type': typing.Tuple[int, int]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'empty_cameras': {'required': False, 'dest': 'policy.empty_cameras', 'default': 0, 'help': 'Add empty images. Used by smolvla_aloha_sim which adds the empty\nleft and right wrist cameras in addition to the top camera.', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'adapt_to_pi_aloha': {'required': False, 'dest': 'policy.adapt_to_pi_aloha', 'default': False, 'help': 'Converts the joint and gripper values from the standard Aloha space to\nthe space used by the pi internal runtime which was used to train the base model.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_delta_joint_actions_aloha': {'required': False, 'dest': 'policy.use_delta_joint_actions_aloha', 'default': False, 'help': 'Converts joint dimensions to deltas with respect to the current state before passing to the model.\nGripper dimensions will remain in absolute values.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'tokenizer_max_length': {'required': False, 'dest': 'policy.tokenizer_max_length', 'default': 48, 'help': 'Tokenizer', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_steps': {'required': False, 'dest': 'policy.num_steps', 'default': 10, 'help': 'Decoding', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_cache': {'required': False, 'dest': 'policy.use_cache', 'default': True, 'help': 'Attention utils', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'freeze_vision_encoder': {'required': False, 'dest': 'policy.freeze_vision_encoder', 'default': True, 'help': 'Finetuning settings', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'train_expert_only': {'required': False, 'dest': 'policy.train_expert_only', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'train_state_proj': {'required': False, 'dest': 'policy.train_state_proj', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_lr': {'required': False, 'dest': 'policy.optimizer_lr', 'default': 0.0001, 'help': 'Training presets', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_betas': {'required': False, 'dest': 'policy.optimizer_betas', 'default': (0.9, 0.95), 'help': ' ', 'type': typing.Tuple[float, float]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_eps': {'required': False, 'dest': 'policy.optimizer_eps', 'default': 1e-08, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_weight_decay': {'required': False, 'dest': 'policy.optimizer_weight_decay', 'default': 1e-10, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_grad_clip_norm': {'required': False, 'dest': 'policy.optimizer_grad_clip_norm', 'default': 10, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'scheduler_warmup_steps': {'required': False, 'dest': 'policy.scheduler_warmup_steps', 'default': 1000, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'scheduler_decay_steps': {'required': False, 'dest': 'policy.scheduler_decay_steps', 'default': 30000, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'scheduler_decay_lr': {'required': False, 'dest': 'policy.scheduler_decay_lr', 'default': 2.5e-06, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'vlm_model_name': {'required': False, 'dest': 'policy.vlm_model_name', 'default': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct', 'help': 'Select the VLM backbone.', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'load_vlm_weights': {'required': False, 'dest': 'policy.load_vlm_weights', 'default': False, 'help': 'Set to True in case of training the expert from scratch. True when init from pretrained SmolVLA weights', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'add_image_special_tokens': {'required': False, 'dest': 'policy.add_image_special_tokens', 'default': False, 'help': 'Whether to use special image tokens around image features.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'attention_mode': {'required': False, 'dest': 'policy.attention_mode', 'default': 'cross_attn', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'prefix_length': {'required': False, 'dest': 'policy.prefix_length', 'default': -1, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'pad_language_to': {'required': False, 'dest': 'policy.pad_language_to', 'default': 'longest', 'help': '"max_length"', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_expert_layers': {'required': False, 'dest': 'policy.num_expert_layers', 'default': -1, 'help': 'Less or equal to 0 is the default where the action expert has the same number of layers of VLM. Otherwise the expert have less layers.', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_vlm_layers': {'required': False, 'dest': 'policy.num_vlm_layers', 'default': 16, 'help': 'Number of layers used in the VLM (first num_vlm_layers layers)', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'self_attn_every_n_layers': {'required': False, 'dest': 'policy.self_attn_every_n_layers', 'default': 2, 'help': 'Interleave SA layers each self_attn_every_n_layers', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'expert_width_multiplier': {'required': False, 'dest': 'policy.expert_width_multiplier', 'default': 0.75, 'help': 'The action expert hidden size (wrt to the VLM)', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'min_period': {'required': False, 'dest': 'policy.min_period', 'default': 0.004, 'help': 'sensitivity range for the timestep used in sine-cosine positional encoding', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_period': {'required': False, 'dest': 'policy.max_period', 'default': 4.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_obs_steps': {'required': False, 'dest': 'policy.n_obs_steps', 'default': 1, 'help': 'Input / output structure.', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'normalization_mapping': {'required': False, 'dest': 'policy.normalization_mapping', 'default': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'ENV': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'ACTION': <NormalizationMode.MIN_MAX: 'MIN_MAX'>}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.NormalizationMode]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'input_features': {'required': False, 'dest': 'policy.input_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'output_features': {'required': False, 'dest': 'policy.output_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'device': {'required': False, 'dest': 'policy.device', 'default': None, 'help': 'cuda | cpu | mp', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_amp': {'required': False, 'dest': 'policy.use_amp', 'default': False, 'help': '`use_amp` determines whether to use Automatic Mixed Precision (AMP) for training and evaluation. With AMP,\nautomatic gradient scaling is used.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'push_to_hub': {'required': False, 'dest': 'policy.push_to_hub', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'repo_id': {'required': False, 'dest': 'policy.repo_id', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'private': {'required': False, 'dest': 'policy.private', 'default': None, 'help': 'Upload on private repository on the Hugging Face hub.', 'type': typing.Optional[bool]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'tags': {'required': False, 'dest': 'policy.tags', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[typing.List[str]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'license': {'required': False, 'dest': 'policy.license', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_action_repeats': {'required': False, 'dest': 'policy.n_action_repeats', 'default': 2, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'horizon': {'required': False, 'dest': 'policy.horizon', 'default': 5, 'help': '\n', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             is an alternative to using action repeats. If this is set to more than 1, then we require
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_action_steps': {'required': False, 'dest': 'policy.n_action_steps', 'default': 1, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'image_encoder_hidden_dim': {'required': False, 'dest': 'policy.image_encoder_hidden_dim', 'default': 32, 'help': '\n', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'state_encoder_hidden_dim': {'required': False, 'dest': 'policy.state_encoder_hidden_dim', 'default': 256, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'latent_dim': {'required': False, 'dest': 'policy.latent_dim', 'default': 50, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'q_ensemble_size': {'required': False, 'dest': 'policy.q_ensemble_size', 'default': 5, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             (π), Q ensemble, and V.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'mlp_dim': {'required': False, 'dest': 'policy.mlp_dim', 'default': 512, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'discount': {'required': False, 'dest': 'policy.discount', 'default': 0.9, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             (π) for each step.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_mpc': {'required': False, 'dest': 'policy.use_mpc', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'cem_iterations': {'required': False, 'dest': 'policy.cem_iterations', 'default': 6, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_std': {'required': False, 'dest': 'policy.max_std', 'default': 2.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             Doubles up as the minimum standard deviation for actions sampled from the gaussian PDF in CEM.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'min_std': {'required': False, 'dest': 'policy.min_std', 'default': 0.05, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             be non-zero.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_gaussian_samples': {'required': False, 'dest': 'policy.n_gaussian_samples', 'default': 512, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             be zero.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_pi_samples': {'required': False, 'dest': 'policy.n_pi_samples', 'default': 51, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             trajectory values (this is the λ coefficient in eqn 4 of FOWM).
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'uncertainty_regularizer_coeff': {'required': False, 'dest': 'policy.uncertainty_regularizer_coeff', 'default': 1.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_elites': {'required': False, 'dest': 'policy.n_elites', 'default': 50, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             elites, when updating the gaussian parameters for CEM.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'elite_weighting_temperature': {'required': False, 'dest': 'policy.elite_weighting_temperature', 'default': 0.5, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             parameters optimized in CEM. Updates are calculated as μ⁻ ← αμ⁻ + (1-α)μ.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'gaussian_mean_momentum': {'required': False, 'dest': 'policy.gaussian_mean_momentum', 'default': 0.1, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             image(s) (in units of pixels) for training-time augmentation. If set to 0, no such augmentation
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_random_shift_ratio': {'required': False, 'dest': 'policy.max_random_shift_ratio', 'default': 0.0476, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'reward_coeff': {'required': False, 'dest': 'policy.reward_coeff', 'default': 0.5, 'help': '\n', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             v_pred < v_target is weighted by τ and v_pred >= v_target is weighted by (1-τ). τ is expected to
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'expectile_weight': {'required': False, 'dest': 'policy.expectile_weight', 'default': 0.9, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             value (V) expectile regression loss.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'value_coeff': {'required': False, 'dest': 'policy.value_coeff', 'default': 0.1, 'help': '\n\n\n', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'consistency_coeff': {'required': False, 'dest': 'policy.consistency_coeff', 'default': 20.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             weighted regression of the policy (π) estimator parameters. Note that the exponentiated advantages
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'advantage_scaling': {'required': False, 'dest': 'policy.advantage_scaling', 'default': 3.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'pi_coeff': {'required': False, 'dest': 'policy.pi_coeff', 'default': 0.5, 'help': '\n', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'temporal_decay_coeff': {'required': False, 'dest': 'policy.temporal_decay_coeff', 'default': 0.5, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             as ϕ ← αϕ + (1-α)θ where ϕ are the parameters of the target model and θ are the parameters of the
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'target_model_momentum': {'required': False, 'dest': 'policy.target_model_momentum', 'default': 0.995, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_lr': {'required': False, 'dest': 'policy.optimizer_lr', 'default': 0.0003, 'help': 'Training presets', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             current step and additional steps going back).
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_obs_steps': {'required': False, 'dest': 'policy.n_obs_steps', 'default': 5, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'normalization_mapping': {'required': False, 'dest': 'policy.normalization_mapping', 'default': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.MIN_MAX: 'MIN_MAX'>, 'ACTION': <NormalizationMode.MIN_MAX: 'MIN_MAX'>}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.NormalizationMode]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'input_features': {'required': False, 'dest': 'policy.input_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'output_features': {'required': False, 'dest': 'policy.output_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'device': {'required': False, 'dest': 'policy.device', 'default': None, 'help': 'cuda | cpu | mp', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_amp': {'required': False, 'dest': 'policy.use_amp', 'default': False, 'help': '`use_amp` determines whether to use Automatic Mixed Precision (AMP) for training and evaluation. With AMP,\nautomatic gradient scaling is used.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'push_to_hub': {'required': False, 'dest': 'policy.push_to_hub', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'repo_id': {'required': False, 'dest': 'policy.repo_id', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'private': {'required': False, 'dest': 'policy.private', 'default': None, 'help': 'Upload on private repository on the Hugging Face hub.', 'type': typing.Optional[bool]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'tags': {'required': False, 'dest': 'policy.tags', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[typing.List[str]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'license': {'required': False, 'dest': 'policy.license', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_action_pred_token': {'required': False, 'dest': 'policy.n_action_pred_token', 'default': 3, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'action_chunk_size': {'required': False, 'dest': 'policy.action_chunk_size', 'default': 5, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'vision_backbone': {'required': False, 'dest': 'policy.vision_backbone', 'default': 'resnet18', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             within the image size. If None, no cropping is done.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'crop_shape': {'required': False, 'dest': 'policy.crop_shape', 'default': (84, 84), 'help': ' ', 'type': typing.Optional[typing.Tuple[int, int]]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             mode).
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'crop_is_random': {'required': False, 'dest': 'policy.crop_is_random', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             `None` means no pretrained weights.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'pretrained_backbone_weights': {'required': False, 'dest': 'policy.pretrained_backbone_weights', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             The group sizes are set to be about 16 (to be precise, feature_dim // 16).
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_group_norm': {'required': False, 'dest': 'policy.use_group_norm', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'spatial_softmax_num_keypoints': {'required': False, 'dest': 'policy.spatial_softmax_num_keypoints', 'default': 32, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_vqvae_training_steps': {'required': False, 'dest': 'policy.n_vqvae_training_steps', 'default': 20000, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'vqvae_n_embed': {'required': False, 'dest': 'policy.vqvae_n_embed', 'default': 16, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'vqvae_embedding_dim': {'required': False, 'dest': 'policy.vqvae_embedding_dim', 'default': 256, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'vqvae_enc_hidden_dim': {'required': False, 'dest': 'policy.vqvae_enc_hidden_dim', 'default': 128, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'gpt_block_size': {'required': False, 'dest': 'policy.gpt_block_size', 'default': 500, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'gpt_input_dim': {'required': False, 'dest': 'policy.gpt_input_dim', 'default': 512, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'gpt_output_dim': {'required': False, 'dest': 'policy.gpt_output_dim', 'default': 512, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'gpt_n_layer': {'required': False, 'dest': 'policy.gpt_n_layer', 'default': 8, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'gpt_n_head': {'required': False, 'dest': 'policy.gpt_n_head', 'default': 8, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'gpt_hidden_dim': {'required': False, 'dest': 'policy.gpt_hidden_dim', 'default': 512, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'dropout': {'required': False, 'dest': 'policy.dropout', 'default': 0.1, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'mlp_hidden_dim': {'required': False, 'dest': 'policy.mlp_hidden_dim', 'default': 1024, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'offset_loss_weight': {'required': False, 'dest': 'policy.offset_loss_weight', 'default': 10000.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'primary_code_loss_weight': {'required': False, 'dest': 'policy.primary_code_loss_weight', 'default': 5.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'secondary_code_loss_weight': {'required': False, 'dest': 'policy.secondary_code_loss_weight', 'default': 0.5, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'bet_softmax_temperature': {'required': False, 'dest': 'policy.bet_softmax_temperature', 'default': 0.1, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             and then select secodnary code), or at the same time.
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'sequentially_select': {'required': False, 'dest': 'policy.sequentially_select', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_lr': {'required': False, 'dest': 'policy.optimizer_lr', 'default': 0.0001, 'help': 'Training presets', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_betas': {'required': False, 'dest': 'policy.optimizer_betas', 'default': (0.95, 0.999), 'help': ' ', 'type': <class 'tuple'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_eps': {'required': False, 'dest': 'policy.optimizer_eps', 'default': 1e-08, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_weight_decay': {'required': False, 'dest': 'policy.optimizer_weight_decay', 'default': 1e-06, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_vqvae_lr': {'required': False, 'dest': 'policy.optimizer_vqvae_lr', 'default': 0.001, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_vqvae_weight_decay': {'required': False, 'dest': 'policy.optimizer_vqvae_weight_decay', 'default': 0.0001, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'scheduler_warmup_steps': {'required': False, 'dest': 'policy.scheduler_warmup_steps', 'default': 500, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_obs_steps': {'required': False, 'dest': 'policy.n_obs_steps', 'default': 1, 'help': 'Input / output structure.', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'normalization_mapping': {'required': False, 'dest': 'policy.normalization_mapping', 'default': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.NormalizationMode]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'input_features': {'required': False, 'dest': 'policy.input_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'output_features': {'required': False, 'dest': 'policy.output_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'device': {'required': False, 'dest': 'policy.device', 'default': None, 'help': 'cuda | cpu | mp', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_amp': {'required': False, 'dest': 'policy.use_amp', 'default': False, 'help': '`use_amp` determines whether to use Automatic Mixed Precision (AMP) for training and evaluation. With AMP,\nautomatic gradient scaling is used.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'push_to_hub': {'required': False, 'dest': 'policy.push_to_hub', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'repo_id': {'required': False, 'dest': 'policy.repo_id', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'private': {'required': False, 'dest': 'policy.private', 'default': None, 'help': 'Upload on private repository on the Hugging Face hub.', 'type': typing.Optional[bool]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'tags': {'required': False, 'dest': 'policy.tags', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[typing.List[str]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'license': {'required': False, 'dest': 'policy.license', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'chunk_size': {'required': False, 'dest': 'policy.chunk_size', 'default': 10, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_action_steps': {'required': False, 'dest': 'policy.n_action_steps', 'default': 5, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_state_dim': {'required': False, 'dest': 'policy.max_state_dim', 'default': 32, 'help': '32', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_action_dim': {'required': False, 'dest': 'policy.max_action_dim', 'default': 32, 'help': '32', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'resize_imgs_with_padding': {'required': False, 'dest': 'policy.resize_imgs_with_padding', 'default': (224, 224), 'help': 'Image preprocessing', 'type': typing.Tuple[int, int]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'interpolate_like_pi': {'required': False, 'dest': 'policy.interpolate_like_pi', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'empty_cameras': {'required': False, 'dest': 'policy.empty_cameras', 'default': 0, 'help': 'Add empty images. Used by pi0_aloha_sim which adds the empty\nleft and right wrist cameras in addition to the top camera.', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'adapt_to_pi_aloha': {'required': False, 'dest': 'policy.adapt_to_pi_aloha', 'default': False, 'help': 'Converts the joint and gripper values from the standard Aloha space to\nthe space used by the pi internal runtime which was used to train the base model.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_delta_joint_actions_aloha': {'required': False, 'dest': 'policy.use_delta_joint_actions_aloha', 'default': False, 'help': 'Converts joint dimensions to deltas with respect to the current state before passing to the model.\nGripper dimensions will remain in absolute values.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'tokenizer_max_length': {'required': False, 'dest': 'policy.tokenizer_max_length', 'default': 48, 'help': 'Tokenizer', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'proj_width': {'required': False, 'dest': 'policy.proj_width', 'default': 1024, 'help': 'Projector', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_decoding_steps': {'required': False, 'dest': 'policy.max_decoding_steps', 'default': 256, 'help': 'Decoding', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'fast_skip_tokens': {'required': False, 'dest': 'policy.fast_skip_tokens', 'default': 128, 'help': 'Skip last 128 tokens in PaliGemma vocab since they are special tokens', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'max_input_seq_len': {'required': False, 'dest': 'policy.max_input_seq_len', 'default': 256, 'help': '512', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_cache': {'required': False, 'dest': 'policy.use_cache', 'default': True, 'help': 'Utils', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'freeze_vision_encoder': {'required': False, 'dest': 'policy.freeze_vision_encoder', 'default': True, 'help': 'Frozen parameters', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'freeze_lm_head': {'required': False, 'dest': 'policy.freeze_lm_head', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_lr': {'required': False, 'dest': 'policy.optimizer_lr', 'default': 0.0001, 'help': 'Training presets', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_betas': {'required': False, 'dest': 'policy.optimizer_betas', 'default': (0.9, 0.95), 'help': ' ', 'type': typing.Tuple[float, float]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_eps': {'required': False, 'dest': 'policy.optimizer_eps', 'default': 1e-08, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_weight_decay': {'required': False, 'dest': 'policy.optimizer_weight_decay', 'default': 1e-05, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'scheduler_warmup_steps': {'required': False, 'dest': 'policy.scheduler_warmup_steps', 'default': 1000, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'scheduler_decay_steps': {'required': False, 'dest': 'policy.scheduler_decay_steps', 'default': 30000, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'scheduler_decay_lr': {'required': False, 'dest': 'policy.scheduler_decay_lr', 'default': 2.5e-06, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'checkpoint_path': {'required': False, 'dest': 'policy.checkpoint_path', 'default': None, 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'padding_side': {'required': False, 'dest': 'policy.padding_side', 'default': 'right', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'precision': {'required': False, 'dest': 'policy.precision', 'default': 'bfloat16', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'grad_clip_norm': {'required': False, 'dest': 'policy.grad_clip_norm', 'default': 1, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'relaxed_action_decoding': {'required': False, 'dest': 'policy.relaxed_action_decoding', 'default': True, 'help': "Allows padding/truncation of generated action tokens during detokenization to ensure decoding.\nIn the original version, tensors of 0s were generated if shapes didn't match for stable decoding.", 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             current step and additional steps going back).
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_obs_steps': {'required': False, 'dest': 'policy.n_obs_steps', 'default': 1, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'normalization_mapping': {'required': False, 'dest': 'policy.normalization_mapping', 'default': {'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'STATE': <NormalizationMode.MIN_MAX: 'MIN_MAX'>, 'ENV': <NormalizationMode.MIN_MAX: 'MIN_MAX'>, 'ACTION': <NormalizationMode.MIN_MAX: 'MIN_MAX'>}, 'help': 'Mapping of feature types to normalization modes', 'type': typing.Dict[str, lerobot.configs.types.NormalizationMode]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'input_features': {'required': False, 'dest': 'policy.input_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'output_features': {'required': False, 'dest': 'policy.output_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'device': {'required': False, 'dest': 'policy.device', 'default': 'cpu', 'help': '\n\n\nArchitecture specifics\nDevice to run the model on (e.g., "cuda", "cpu")', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_amp': {'required': False, 'dest': 'policy.use_amp', 'default': False, 'help': '`use_amp` determines whether to use Automatic Mixed Precision (AMP) for training and evaluation. With AMP,\nautomatic gradient scaling is used.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'push_to_hub': {'required': False, 'dest': 'policy.push_to_hub', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'repo_id': {'required': False, 'dest': 'policy.repo_id', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'private': {'required': False, 'dest': 'policy.private', 'default': None, 'help': 'Upload on private repository on the Hugging Face hub.', 'type': typing.Optional[bool]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'tags': {'required': False, 'dest': 'policy.tags', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[typing.List[str]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'license': {'required': False, 'dest': 'policy.license', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'dataset_stats': {'required': False, 'dest': 'policy.dataset_stats', 'default': {'observation.image': {'mean': [0.485, 0.456, 0.406], 'std': [0.229, 0.224, 0.225]}, 'observation.state': {'min': [0.0, 0.0], 'max': [1.0, 1.0]}, 'action': {'min': [0.0, 0.0, 0.0], 'max': [1.0, 1.0, 1.0]}}, 'help': '\n\nStatistics for normalizing different types of inputs', 'type': typing.Optional[typing.Dict[str, typing.Dict[str, typing.List[float]]]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'storage_device': {'required': False, 'dest': 'policy.storage_device', 'default': 'cpu', 'help': 'Device to store the model on', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'vision_encoder_name': {'required': False, 'dest': 'policy.vision_encoder_name', 'default': None, 'help': 'Name of the vision encoder model (Set to "helper2424/resnet10" for hil serl resnet10)', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'freeze_vision_encoder': {'required': False, 'dest': 'policy.freeze_vision_encoder', 'default': True, 'help': 'Whether to freeze the vision encoder during training', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'image_encoder_hidden_dim': {'required': False, 'dest': 'policy.image_encoder_hidden_dim', 'default': 32, 'help': 'Hidden dimension size for the image encoder', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'shared_encoder': {'required': False, 'dest': 'policy.shared_encoder', 'default': True, 'help': 'Whether to use a shared encoder for actor and critic', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_discrete_actions': {'required': False, 'dest': 'policy.num_discrete_actions', 'default': None, 'help': 'Number of discrete actions, eg for gripper actions', 'type': typing.Optional[int]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'image_embedding_pooling_dim': {'required': False, 'dest': 'policy.image_embedding_pooling_dim', 'default': 8, 'help': 'Dimension of the image embedding pooling', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'online_steps': {'required': False, 'dest': 'policy.online_steps', 'default': 1000000, 'help': 'Training parameter\nNumber of steps for online training', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'online_env_seed': {'required': False, 'dest': 'policy.online_env_seed', 'default': 10000, 'help': 'Seed for the online environment', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'online_buffer_capacity': {'required': False, 'dest': 'policy.online_buffer_capacity', 'default': 100000, 'help': 'Capacity of the online replay buffer', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'offline_buffer_capacity': {'required': False, 'dest': 'policy.offline_buffer_capacity', 'default': 100000, 'help': 'Capacity of the offline replay buffer', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'async_prefetch': {'required': False, 'dest': 'policy.async_prefetch', 'default': False, 'help': 'Whether to use asynchronous prefetching for the buffers', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'online_step_before_learning': {'required': False, 'dest': 'policy.online_step_before_learning', 'default': 100, 'help': 'Number of steps before learning starts', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'policy_update_freq': {'required': False, 'dest': 'policy.policy_update_freq', 'default': 1, 'help': 'Frequency of policy updates', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'discount': {'required': False, 'dest': 'policy.discount', 'default': 0.99, 'help': 'SAC algorithm parameters\nDiscount factor for the SAC algorithm', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'temperature_init': {'required': False, 'dest': 'policy.temperature_init', 'default': 1.0, 'help': 'Initial temperature value', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_critics': {'required': False, 'dest': 'policy.num_critics', 'default': 2, 'help': 'Number of critics in the ensemble', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_subsample_critics': {'required': False, 'dest': 'policy.num_subsample_critics', 'default': None, 'help': 'Number of subsampled critics for training', 'type': typing.Optional[int]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'critic_lr': {'required': False, 'dest': 'policy.critic_lr', 'default': 0.0003, 'help': 'Learning rate for the critic network', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'actor_lr': {'required': False, 'dest': 'policy.actor_lr', 'default': 0.0003, 'help': 'Learning rate for the actor network', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'temperature_lr': {'required': False, 'dest': 'policy.temperature_lr', 'default': 0.0003, 'help': 'Learning rate for the temperature parameter', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'critic_target_update_weight': {'required': False, 'dest': 'policy.critic_target_update_weight', 'default': 0.005, 'help': 'Weight for the critic target update', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'utd_ratio': {'required': False, 'dest': 'policy.utd_ratio', 'default': 1, 'help': 'Update-to-data ratio for the UTD algorithm (If you want enable utd_ratio, you need to set it to >1)', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'state_encoder_hidden_dim': {'required': False, 'dest': 'policy.state_encoder_hidden_dim', 'default': 256, 'help': 'Hidden dimension size for the state encoder', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'latent_dim': {'required': False, 'dest': 'policy.latent_dim', 'default': 256, 'help': 'Dimension of the latent space', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'target_entropy': {'required': False, 'dest': 'policy.target_entropy', 'default': None, 'help': 'Target entropy for the SAC algorithm', 'type': typing.Optional[float]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_backup_entropy': {'required': False, 'dest': 'policy.use_backup_entropy', 'default': True, 'help': 'Whether to use backup entropy for the SAC algorithm', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'grad_clip_norm': {'required': False, 'dest': 'policy.grad_clip_norm', 'default': 40.0, 'help': 'Gradient clipping norm for the SAC algorithm', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'hidden_dims': {'required': False, 'dest': 'policy.critic_network_kwargs.hidden_dims', 'default': [256, 256], 'help': ' ', 'type': typing.List[int]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'activate_final': {'required': False, 'dest': 'policy.critic_network_kwargs.activate_final', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'final_activation': {'required': False, 'dest': 'policy.critic_network_kwargs.final_activation', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'hidden_dims': {'required': False, 'dest': 'policy.actor_network_kwargs.hidden_dims', 'default': [256, 256], 'help': ' ', 'type': typing.List[int]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'activate_final': {'required': False, 'dest': 'policy.actor_network_kwargs.activate_final', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_tanh_squash': {'required': False, 'dest': 'policy.policy_kwargs.use_tanh_squash', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'std_min': {'required': False, 'dest': 'policy.policy_kwargs.std_min', 'default': 1e-05, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'std_max': {'required': False, 'dest': 'policy.policy_kwargs.std_max', 'default': 10.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'init_final': {'required': False, 'dest': 'policy.policy_kwargs.init_final', 'default': 0.05, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'hidden_dims': {'required': False, 'dest': 'policy.discrete_critic_network_kwargs.hidden_dims', 'default': [256, 256], 'help': ' ', 'type': typing.List[int]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'activate_final': {'required': False, 'dest': 'policy.discrete_critic_network_kwargs.activate_final', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'final_activation': {'required': False, 'dest': 'policy.discrete_critic_network_kwargs.final_activation', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'learner_host': {'required': False, 'dest': 'policy.actor_learner_config.learner_host', 'default': '127.0.0.1', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'learner_port': {'required': False, 'dest': 'policy.actor_learner_config.learner_port', 'default': 50051, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'policy_parameters_push_frequency': {'required': False, 'dest': 'policy.actor_learner_config.policy_parameters_push_frequency', 'default': 4, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'queue_get_timeout': {'required': False, 'dest': 'policy.actor_learner_config.queue_get_timeout', 'default': 2, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'actor': {'required': False, 'dest': 'policy.concurrency.actor', 'default': 'threads', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'learner': {'required': False, 'dest': 'policy.concurrency.learner', 'default': 'threads', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_torch_compile': {'required': False, 'dest': 'policy.use_torch_compile', 'default': True, 'help': 'Optimizations', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:             current step and additional steps going back).
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_obs_steps': {'required': False, 'dest': 'policy.n_obs_steps', 'default': 1, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:         default_factory=lambda: {
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'normalization_mapping': {'required': False, 'dest': 'policy.normalization_mapping', 'default': {'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.NormalizationMode]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'input_features': {'required': False, 'dest': 'policy.input_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'output_features': {'required': False, 'dest': 'policy.output_features', 'default': {}, 'help': ' ', 'type': typing.Dict[str, lerobot.configs.types.PolicyFeature]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'device': {'required': False, 'dest': 'policy.device', 'default': 'cpu', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_amp': {'required': False, 'dest': 'policy.use_amp', 'default': False, 'help': '`use_amp` determines whether to use Automatic Mixed Precision (AMP) for training and evaluation. With AMP,\nautomatic gradient scaling is used.', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'push_to_hub': {'required': False, 'dest': 'policy.push_to_hub', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'repo_id': {'required': False, 'dest': 'policy.repo_id', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'private': {'required': False, 'dest': 'policy.private', 'default': None, 'help': 'Upload on private repository on the Hugging Face hub.', 'type': typing.Optional[bool]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'tags': {'required': False, 'dest': 'policy.tags', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[typing.List[str]]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'license': {'required': False, 'dest': 'policy.license', 'default': None, 'help': 'Add tags to your policy on the hub.', 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'name': {'required': False, 'dest': 'policy.name', 'default': 'reward_classifier', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_classes': {'required': False, 'dest': 'policy.num_classes', 'default': 2, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'hidden_dim': {'required': False, 'dest': 'policy.hidden_dim', 'default': 256, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'latent_dim': {'required': False, 'dest': 'policy.latent_dim', 'default': 256, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'image_embedding_pooling_dim': {'required': False, 'dest': 'policy.image_embedding_pooling_dim', 'default': 8, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'dropout_rate': {'required': False, 'dest': 'policy.dropout_rate', 'default': 0.1, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'model_name': {'required': False, 'dest': 'policy.model_name', 'default': 'helper2424/resnet10', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'model_type': {'required': False, 'dest': 'policy.model_type', 'default': 'cnn', 'help': '"transformer" or "cnn"', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_cameras': {'required': False, 'dest': 'policy.num_cameras', 'default': 2, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'learning_rate': {'required': False, 'dest': 'policy.learning_rate', 'default': 0.0001, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'weight_decay': {'required': False, 'dest': 'policy.weight_decay', 'default': 0.01, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'grad_clip_norm': {'required': False, 'dest': 'policy.grad_clip_norm', 'default': 1.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'output_dir': {'required': False, 'dest': 'output_dir', 'default': None, 'help': 'Set `dir` to where you would like to save all of the run outputs. If you run another training session\nwith the same value for `dir` its contents will be overwritten unless you set `resume` to true.', 'type': typing.Optional[pathlib._local.Path]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'job_name': {'required': False, 'dest': 'job_name', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'resume': {'required': False, 'dest': 'resume', 'default': False, 'help': "Set `resume` to true to resume a previous run. In order for this to work, you will need to make sure\n`dir` is the directory of an existing run with at least one checkpoint in it.\nNote that when resuming a run, the default behavior is to use the configuration from the checkpoint,\nregardless of what's provided with the training command at the time of resumption.", 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'seed': {'required': False, 'dest': 'seed', 'default': 1000, 'help': '`seed` is used for training (eg: model initialization, dataset shuffling)\nAND for the evaluation environments.', 'type': typing.Optional[int]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_workers': {'required': False, 'dest': 'num_workers', 'default': 4, 'help': 'Number of workers for the dataloader.', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'batch_size': {'required': False, 'dest': 'batch_size', 'default': 8, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'steps': {'required': False, 'dest': 'steps', 'default': 100000, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'eval_freq': {'required': False, 'dest': 'eval_freq', 'default': 20000, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'log_freq': {'required': False, 'dest': 'log_freq', 'default': 200, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'save_checkpoint': {'required': False, 'dest': 'save_checkpoint', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'save_freq': {'required': False, 'dest': 'save_freq', 'default': 20000, 'help': 'Checkpoint is saved every `save_freq` training iterations and after the last training step.', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_policy_training_preset': {'required': False, 'dest': 'use_policy_training_preset', 'default': True, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.lr has a default value of 0.001
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.weight_decay has a default value of 0.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.grad_clip_norm has a default value of 10.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at optimizer.betas has a default value of (0.9, 0.999)
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.eps has a default value of 1e-08
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.lr has a default value of 0.001
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.weight_decay has a default value of 0.01
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.grad_clip_norm has a default value of 10.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at optimizer.betas has a default value of (0.9, 0.999)
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.eps has a default value of 1e-08
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.lr has a default value of 0.001
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.weight_decay has a default value of 0.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.grad_clip_norm has a default value of 10.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.momentum has a default value of 0.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.dampening has a default value of 0.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.nesterov has a default value of False
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.lr has a default value of 0.001
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.weight_decay has a default value of 0.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at optimizer.grad_clip_norm has a default value of 10.0
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at optimizer.optimizer_groups has a default value of {}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'lr': {'required': False, 'dest': 'optimizer.lr', 'default': 0.001, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'weight_decay': {'required': False, 'dest': 'optimizer.weight_decay', 'default': 0.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:     def build(self, params: dict) -> torch.optim.Optimizer:
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'grad_clip_norm': {'required': False, 'dest': 'optimizer.grad_clip_norm', 'default': 10.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'betas': {'required': False, 'dest': 'optimizer.betas', 'default': (0.9, 0.999), 'help': ' ', 'type': typing.Tuple[float, float]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'eps': {'required': False, 'dest': 'optimizer.eps', 'default': 1e-08, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'lr': {'required': False, 'dest': 'optimizer.lr', 'default': 0.001, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'weight_decay': {'required': False, 'dest': 'optimizer.weight_decay', 'default': 0.01, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:     def build(self, params: dict) -> torch.optim.Optimizer:
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'grad_clip_norm': {'required': False, 'dest': 'optimizer.grad_clip_norm', 'default': 10.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'betas': {'required': False, 'dest': 'optimizer.betas', 'default': (0.9, 0.999), 'help': ' ', 'type': typing.Tuple[float, float]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'eps': {'required': False, 'dest': 'optimizer.eps', 'default': 1e-08, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'lr': {'required': False, 'dest': 'optimizer.lr', 'default': 0.001, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'weight_decay': {'required': False, 'dest': 'optimizer.weight_decay', 'default': 0.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:     def build(self, params: dict) -> torch.optim.Optimizer:
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'grad_clip_norm': {'required': False, 'dest': 'optimizer.grad_clip_norm', 'default': 10.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'momentum': {'required': False, 'dest': 'optimizer.momentum', 'default': 0.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'dampening': {'required': False, 'dest': 'optimizer.dampening', 'default': 0.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'nesterov': {'required': False, 'dest': 'optimizer.nesterov', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'lr': {'required': False, 'dest': 'optimizer.lr', 'default': 0.001, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'weight_decay': {'required': False, 'dest': 'optimizer.weight_decay', 'default': 0.0, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'grad_clip_norm': {'required': False, 'dest': 'optimizer.grad_clip_norm', 'default': 10.0, 'help': '\n\nlr: float = 1e-3\nweight_decay: float = 0.0\ngrad_clip_norm: float = 10.0\noptimizer_groups: dict[str, dict[str, Any]] = field(default_factory=dict)\n\ndef build(self, params_dict: dict[str, list]) -> dict[str, torch.optim.Optimizer]:\n', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'optimizer_groups': {'required': False, 'dest': 'optimizer.optimizer_groups', 'default': {}, 'help': ' ', 'type': typing.Dict[str, typing.Dict[str, typing.Any]]}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:201 wrapped field at scheduler.num_warmup_steps has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at scheduler.name has a default value of cosine
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at scheduler.num_warmup_steps has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at scheduler.num_vqvae_training_steps has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at scheduler.num_cycles has a default value of 0.5
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at scheduler.num_warmup_steps has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at scheduler.num_decay_steps has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at scheduler.peak_lr has a default value of None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:168 wrapped field at scheduler.decay_lr has a default value of None
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:     def build(self, optimizer: Optimizer, num_training_steps: int) -> LambdaLR:
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_warmup_steps': {'required': False, 'dest': 'scheduler.num_warmup_steps', 'default': None, 'type': typing.Optional[int]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'name': {'required': False, 'dest': 'scheduler.name', 'default': 'cosine', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_warmup_steps': {'required': False, 'dest': 'scheduler.num_warmup_steps', 'default': None, 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_vqvae_training_steps': {'required': False, 'dest': 'scheduler.num_vqvae_training_steps', 'default': None, 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:     def build(self, optimizer: Optimizer, num_training_steps: int) -> LambdaLR:
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_cycles': {'required': False, 'dest': 'scheduler.num_cycles', 'default': 0.5, 'help': ' ', 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_warmup_steps': {'required': False, 'dest': 'scheduler.num_warmup_steps', 'default': None, 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'num_decay_steps': {'required': False, 'dest': 'scheduler.num_decay_steps', 'default': None, 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'peak_lr': {'required': False, 'dest': 'scheduler.peak_lr', 'default': None, 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 ocstring.py:253 Warning: Unable to parse attribute docstring:     def build(self, optimizer: Optimizer, num_training_steps: int) -> LambdaLR:
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'decay_lr': {'required': False, 'dest': 'scheduler.decay_lr', 'default': None, 'type': <class 'float'>}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'n_episodes': {'required': False, 'dest': 'eval.n_episodes', 'default': 50, 'help': ' ', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'batch_size': {'required': False, 'dest': 'eval.batch_size', 'default': 50, 'help': '`batch_size` specifies the number of environments to use in a gym.vector.VectorEnv.', 'type': <class 'int'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'use_async_envs': {'required': False, 'dest': 'eval.use_async_envs', 'default': False, 'help': '`use_async_envs` specifies whether to use asynchronous environments (multiprocessing).', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 d_metavar.py:22 Metavar for type <class 'str'>: str
+DEBUG 2025-08-05 17:00:18 formatter.py:52 action type: <class 'str'>, Result: str, nargs: None, default metavar: None
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'enable': {'required': False, 'dest': 'wandb.enable', 'default': False, 'help': ' ', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'disable_artifact': {'required': False, 'dest': 'wandb.disable_artifact', 'default': False, 'help': 'Set to true to disable saving an artifact despite training.save_checkpoint=True', 'type': <class 'bool'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'project': {'required': False, 'dest': 'wandb.project', 'default': 'lerobot', 'help': ' ', 'type': <class 'str'>}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'entity': {'required': False, 'dest': 'wandb.entity', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'notes': {'required': False, 'dest': 'wandb.notes', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'run_id': {'required': False, 'dest': 'wandb.run_id', 'default': None, 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 _wrapper.py:309 Arg options for field 'mode': {'required': False, 'dest': 'wandb.mode', 'default': None, 'help': "Allowed values: 'online', 'offline' 'disabled'. Defaults to 'online'", 'type': typing.Optional[str]}
+DEBUG 2025-08-05 17:00:18 gparsing.py:143 
+POST PROCESSING
+
+DEBUG 2025-08-05 17:00:18 gparsing.py:144 (raw) parsed args: Namespace()
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.configs.train.TrainRLServerPipelineConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = dataset, type = typing.Optional[lerobot.configs.default.DatasetConfig]
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.configs.default.DatasetConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = repo_id, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = root, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = episodes, type = typing.Optional[list[int]]
+DEBUG 2025-08-05 17:00:18 decoding.py:293 Decoding a Union field: typing.Optional[list[int]]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = image_transforms, type = <class 'lerobot.datasets.transforms.ImageTransformsConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.datasets.transforms.ImageTransformsConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = enable, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = max_num_transforms, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = random_order, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = tfs, type = dict[str, lerobot.datasets.transforms.ImageTransformConfig]
+DEBUG 2025-08-05 17:00:18 decoding.py:261 Decoding a Dict field: dict[str, lerobot.datasets.transforms.ImageTransformConfig]
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.datasets.transforms.ImageTransformConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = weight, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = type, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = kwargs, type = dict[str, typing.Any]
+DEBUG 2025-08-05 17:00:18 decoding.py:261 Decoding a Dict field: dict[str, typing.Any]
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.datasets.transforms.ImageTransformConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = weight, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = type, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = kwargs, type = dict[str, typing.Any]
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.datasets.transforms.ImageTransformConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = weight, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = type, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = kwargs, type = dict[str, typing.Any]
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.datasets.transforms.ImageTransformConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = weight, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = type, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = kwargs, type = dict[str, typing.Any]
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.datasets.transforms.ImageTransformConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = weight, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = type, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = kwargs, type = dict[str, typing.Any]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = revision, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = use_imagenet_stats, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = video_backend, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = env, type = typing.Optional[lerobot.envs.configs.EnvConfig]
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.envs.configs.HILEnvConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = task, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = fps, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = features, type = dict[str, lerobot.configs.types.PolicyFeature]
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.configs.types.PolicyFeature'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = type, type = <enum 'FeatureType'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = shape, type = <class 'tuple'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.configs.types.PolicyFeature'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = type, type = <enum 'FeatureType'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = shape, type = <class 'tuple'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.configs.types.PolicyFeature'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = type, type = <enum 'FeatureType'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = shape, type = <class 'tuple'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.configs.types.PolicyFeature'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = type, type = <enum 'FeatureType'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = shape, type = <class 'tuple'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = features_map, type = dict[str, str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = name, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = use_viewer, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = gripper_penalty, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = use_gamepad, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = state_dim, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = action_dim, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = episode_length, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = random_block_position, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = video_record, type = <class 'lerobot.envs.configs.VideoRecordConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.envs.configs.VideoRecordConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = enabled, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = record_dir, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = trajectory_name, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = reward_classifier_pretrained_path, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = robot_config, type = typing.Optional[lerobot.robots.config.RobotConfig]
+DEBUG 2025-08-05 17:00:18 decoding.py:293 Decoding a Union field: typing.Optional[lerobot.robots.config.RobotConfig]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = teleop_config, type = typing.Optional[lerobot.teleoperators.config.TeleoperatorConfig]
+DEBUG 2025-08-05 17:00:18 decoding.py:293 Decoding a Union field: typing.Optional[lerobot.teleoperators.config.TeleoperatorConfig]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = wrapper, type = typing.Optional[lerobot.envs.configs.EnvTransformConfig]
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.envs.configs.EnvTransformConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = control_mode, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = display_cameras, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = add_joint_velocity_to_observation, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = add_current_to_observation, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = add_ee_pose_to_observation, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = crop_params_dict, type = typing.Optional[dict[str, tuple[int, int, int, int]]]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = resize_size, type = typing.Optional[tuple[int, int]]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = control_time_s, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = fixed_reset_joint_positions, type = typing.Optional[typing.Any]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = reset_time_s, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = use_gripper, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = gripper_quantization_threshold, type = typing.Optional[float]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = gripper_penalty, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = gripper_penalty_in_reward, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = mode, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = repo_id, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = dataset_root, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = num_episodes, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = episode, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = device, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = push_to_hub, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = pretrained_policy_name_or_path, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = number_of_steps_after_success, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = policy, type = typing.Optional[lerobot.configs.policies.PreTrainedConfig]
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.policies.sac.configuration_sac.SACConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = n_obs_steps, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = normalization_mapping, type = dict[str, lerobot.configs.types.NormalizationMode]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = input_features, type = dict[str, lerobot.configs.types.PolicyFeature]
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.configs.types.PolicyFeature'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = type, type = <enum 'FeatureType'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = shape, type = <class 'tuple'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.configs.types.PolicyFeature'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = type, type = <enum 'FeatureType'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = shape, type = <class 'tuple'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.configs.types.PolicyFeature'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = type, type = <enum 'FeatureType'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = shape, type = <class 'tuple'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = output_features, type = dict[str, lerobot.configs.types.PolicyFeature]
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.configs.types.PolicyFeature'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = type, type = <enum 'FeatureType'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = shape, type = <class 'tuple'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = device, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = use_amp, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = push_to_hub, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = repo_id, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = private, type = typing.Optional[bool]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = tags, type = typing.Optional[list[str]]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = license, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = dataset_stats, type = typing.Optional[dict[str, dict[str, list[float]]]]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = storage_device, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = vision_encoder_name, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = freeze_vision_encoder, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = image_encoder_hidden_dim, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = shared_encoder, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = num_discrete_actions, type = typing.Optional[int]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = image_embedding_pooling_dim, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = online_steps, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = online_env_seed, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = online_buffer_capacity, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = offline_buffer_capacity, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = async_prefetch, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = online_step_before_learning, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = policy_update_freq, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = discount, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = temperature_init, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = num_critics, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = num_subsample_critics, type = typing.Optional[int]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = critic_lr, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = actor_lr, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = temperature_lr, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = critic_target_update_weight, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = utd_ratio, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = state_encoder_hidden_dim, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = latent_dim, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = target_entropy, type = typing.Optional[float]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = use_backup_entropy, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = grad_clip_norm, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = critic_network_kwargs, type = <class 'lerobot.policies.sac.configuration_sac.CriticNetworkConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.policies.sac.configuration_sac.CriticNetworkConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = hidden_dims, type = list[int]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = activate_final, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = final_activation, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = actor_network_kwargs, type = <class 'lerobot.policies.sac.configuration_sac.ActorNetworkConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.policies.sac.configuration_sac.ActorNetworkConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = hidden_dims, type = list[int]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = activate_final, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = policy_kwargs, type = <class 'lerobot.policies.sac.configuration_sac.PolicyConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.policies.sac.configuration_sac.PolicyConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = use_tanh_squash, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = std_min, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = std_max, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = init_final, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = discrete_critic_network_kwargs, type = <class 'lerobot.policies.sac.configuration_sac.CriticNetworkConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.policies.sac.configuration_sac.CriticNetworkConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = hidden_dims, type = list[int]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = activate_final, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = final_activation, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = actor_learner_config, type = <class 'lerobot.policies.sac.configuration_sac.ActorLearnerConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.policies.sac.configuration_sac.ActorLearnerConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = learner_host, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = learner_port, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = policy_parameters_push_frequency, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = queue_get_timeout, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = concurrency, type = <class 'lerobot.policies.sac.configuration_sac.ConcurrencyConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.policies.sac.configuration_sac.ConcurrencyConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = actor, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = learner, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = use_torch_compile, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = output_dir, type = typing.Optional[pathlib._local.Path]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = job_name, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = resume, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = seed, type = typing.Optional[int]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = num_workers, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = batch_size, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = steps, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = eval_freq, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = log_freq, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = save_checkpoint, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = save_freq, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = use_policy_training_preset, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = optimizer, type = typing.Optional[lerobot.optim.optimizers.OptimizerConfig]
+DEBUG 2025-08-05 17:00:18 decoding.py:293 Decoding a Union field: typing.Optional[lerobot.optim.optimizers.OptimizerConfig]
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.optim.optimizers.MultiAdamConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = lr, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = weight_decay, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = grad_clip_norm, type = <class 'float'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = optimizer_groups, type = dict[str, dict[str, typing.Any]]
+DEBUG 2025-08-05 17:00:18 decoding.py:261 Decoding a Dict field: dict[str, dict[str, typing.Any]]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = scheduler, type = typing.Optional[lerobot.optim.schedulers.LRSchedulerConfig]
+DEBUG 2025-08-05 17:00:18 decoding.py:293 Decoding a Union field: typing.Optional[lerobot.optim.schedulers.LRSchedulerConfig]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = eval, type = <class 'lerobot.configs.default.EvalConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.configs.default.EvalConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = n_episodes, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = batch_size, type = <class 'int'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = use_async_envs, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = wandb, type = <class 'lerobot.configs.default.WandBConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:112 from_dict for <class 'lerobot.configs.default.WandBConfig'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = enable, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = disable_artifact, type = <class 'bool'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = project, type = <class 'str'>
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = entity, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = notes, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = run_id, type = typing.Optional[str]
+DEBUG 2025-08-05 17:00:18 decoding.py:132 Decode name = mode, type = typing.Optional[str]
+INFO 2025-08-05 17:00:18 /learner.py:313 Initializing policy
+WARNING 2025-08-05 17:00:18 /factory.py:153 You are instantiating a policy from scratch and its features are parsed from an environment rather than a dataset. Normalization modules inside the policy will have infinite values by default without stats from a dataset.
+INFO 2025-08-05 17:00:18 /learner.py:711 [LEARNER] gRPC server started
+DEBUG 2025-08-05 17:00:19 ionpool.py:1049 Starting new HTTPS connection (1): huggingface.co:443
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+INFO 2025-08-05 17:00:21 /learner.py:323 ================================================================================
+INFO 2025-08-05 17:00:21 /learner.py:324 POLICY CONFIGURATION DEBUG INFO:
+INFO 2025-08-05 17:00:21 /learner.py:325 ================================================================================
+INFO 2025-08-05 17:00:21 /learner.py:326 Policy type: SACPolicy
+INFO 2025-08-05 17:00:21 /learner.py:327 Input features: {'observation.images.front': PolicyFeature(type=<FeatureType.VISUAL: 'VISUAL'>, shape=(3, 128, 128)), 'observation.images.wrist': PolicyFeature(type=<FeatureType.VISUAL: 'VISUAL'>, shape=(3, 128, 128)), 'observation.state': PolicyFeature(type=<FeatureType.STATE: 'STATE'>, shape=(18,))}
+INFO 2025-08-05 17:00:21 /learner.py:328 Output features: {'action': PolicyFeature(type=<FeatureType.ACTION: 'ACTION'>, shape=(3,))}
+INFO 2025-08-05 17:00:21 /learner.py:329 Action space shape: (3,)
+INFO 2025-08-05 17:00:21 /learner.py:330 num_discrete_actions: 3
+INFO 2025-08-05 17:00:21 /learner.py:331 Action normalization: NormalizationMode.MIN_MAX
+INFO 2025-08-05 17:00:21 /learner.py:335 Environment use_gripper: True
+INFO 2025-08-05 17:00:21 /learner.py:336 Environment random_block_position: True
+INFO 2025-08-05 17:00:21 /learner.py:337 ================================================================================
+INFO 2025-08-05 17:00:21 /learner.py:340 ================================================================================
+INFO 2025-08-05 17:00:21 /learner.py:341 TRAINING CONFIGURATION DEBUG INFO:
+INFO 2025-08-05 17:00:21 /learner.py:342 ================================================================================
+INFO 2025-08-05 17:00:21 /learner.py:343 save_checkpoint: True
+INFO 2025-08-05 17:00:21 /learner.py:344 save_freq: 2000
+INFO 2025-08-05 17:00:21 /learner.py:345 policy.push_to_hub: True
+INFO 2025-08-05 17:00:21 /learner.py:346 policy.repo_id: spirosperos/panda-pick-gamepad-policy
+INFO 2025-08-05 17:00:21 /learner.py:347 output_dir: outputs/train/2025-08-05/13-45-02_default
+INFO 2025-08-05 17:00:21 /learner.py:348 online_steps: 1000000
+INFO 2025-08-05 17:00:21 /learner.py:349 ================================================================================
+DEBUG 2025-08-05 17:00:21 learner.py:1157 [LEARNER] Pushing actor policy to the queue
+DEBUG 2025-08-05 17:00:21 learner.py:1167 [LEARNER] Including discrete critic in state dict push
+INFO 2025-08-05 17:00:21 /learner.py:951 Loading training state from outputs/train/2025-08-05/13-45-02_default/checkpoints/last
+INFO 2025-08-05 17:00:21 /learner.py:964 Resuming from step 2000, interaction step 20486
+INFO 2025-08-05 17:00:21 /learner.py:983 Output dir: outputs/train/2025-08-05/13-45-02_default
+INFO 2025-08-05 17:00:21 /learner.py:984 cfg.env.task='PandaPickCubeGamepad-v0'
+INFO 2025-08-05 17:00:21 /learner.py:985 cfg.policy.online_steps=1000000
+INFO 2025-08-05 17:00:21 /learner.py:986 num_learnable_params=1477841 (1M)
+INFO 2025-08-05 17:00:21 /learner.py:987 num_total_params=6383633 (6M)
+INFO 2025-08-05 17:00:21 learner.py:1013 Resume training load the online dataset
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diff --git a/examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/train_config.json b/examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/train_config.json
new file mode 100644
index 0000000000..9b0a206250
--- /dev/null
+++ b/examples/hil_serl_simulation_training/outputs/train/2025-08-05/13-45-02_default/train_config.json
@@ -0,0 +1,296 @@
+{    
+    "output_dir": "/home/nikola/lerobot/outputs/train/2025-08-05/13-45-02_default",
+    "job_name": "default",
+    "resume": true,
+    "seed": 1000,
+    "num_workers": 4,
+    "batch_size": 256,
+    "steps": 100000,
+    "log_freq": 30,
+    "save_checkpoint": true,
+    "save_freq": 30,
+    "wandb": {
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+        "project": "franka_sim",
+        "disable_artifact": true
+    },
+    "dataset": {
+        "repo_id": "spirosperos/panda-pick-gamepad",
+        "use_imagenet_stats": false,
+        "video_backend": "pyav"
+    },
+    "policy": {
+        "type": "sac",
+        "n_obs_steps": 1,
+        "repo_id": "spirosperos/panda-pick-gamepad-policy",
+        "normalization_mapping": {
+            "VISUAL": "MEAN_STD",
+            "STATE": "MIN_MAX",
+            "ENV": "MIN_MAX",
+            "ACTION": "MIN_MAX"
+        },
+        "input_features": {
+            "observation.images.front": {
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+                "shape": [
+                    3,
+                    128,
+                    128
+                ]
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+                "shape": [
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+                    128,
+                    128
+                ]
+            },
+            "observation.state": {
+                "type": "STATE",
+                "shape": [
+                    18
+                ]
+            }
+        },
+        "output_features": {
+            "action": {
+                "type": "ACTION",
+                "shape": [
+                    3
+                ]
+            }
+        },
+        "dataset_stats": {
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+        "device": "cuda",
+        "storage_device": "cpu",
+        "use_amp": false,
+        "use_torch_compile": true,
+        "shared_encoder": true,
+        "freeze_vision_encoder": true,
+        "vision_encoder_name": "helper2424/resnet10",
+        "image_encoder_hidden_dim": 32,
+        "image_embedding_pooling_dim": 8,
+        "state_encoder_hidden_dim": 256,
+        "latent_dim": 64,
+        "actor_network_kwargs": {
+            "hidden_dims": [
+                256,
+                256
+            ],
+            "activate_final": true
+        },
+        "critic_network_kwargs": {
+            "hidden_dims": [
+                256,
+                256
+            ],
+            "activate_final": true,
+            "final_activation": null
+        },
+        "discrete_critic_network_kwargs": {
+            "hidden_dims": [
+                256,
+                256
+            ],
+            "activate_final": true,
+            "final_activation": null
+        },
+        "num_critics": 2,
+        "num_subsample_critics": null,
+        "actor_lr": 0.0003,
+        "critic_lr": 0.0003,
+        "temperature_lr": 0.0003,
+        "temperature_init": 0.01,
+        "target_entropy": null,
+        "use_backup_entropy": true,
+        "discount": 0.97,
+        "critic_target_update_weight": 0.005,
+        "policy_update_freq": 1,
+        "utd_ratio": 2,
+        "grad_clip_norm": 10.0,
+        "policy_kwargs": {
+            "std_max": 5.0,
+            "std_min": 1e-05,
+            "init_final": 0.05,
+            "use_tanh_squash": true
+        },
+        "offline_buffer_capacity": 100000,
+        "online_buffer_capacity": 100000,
+        "online_steps": 1000000,
+        "online_step_before_learning": 100,
+        "online_env_seed": 10000,
+        "push_to_hub": true,
+        "license": null,
+        "private": null,
+        "tags": null,
+        "concurrency": {
+            "actor": "threads",
+            "learner": "threads"
+        },
+        "async_prefetch": false,
+        "actor_learner_config": {
+            "learner_host": "127.0.0.1",
+            "learner_port": 50051,
+            "policy_parameters_push_frequency": 1,
+            "queue_get_timeout": 2
+        }
+    },
+    "env": {
+    "type": "hil",
+    "wrapper": {
+        "gripper_penalty": -0.02,
+        "display_cameras": false,
+        "add_joint_velocity_to_observation": true,
+        "add_ee_pose_to_observation": true,
+        "crop_params_dict": {
+            "observation.images.front": [
+                0,
+                0,
+                128,
+                128
+            ],
+            "observation.images.wrist": [
+                0,
+                0,
+                128,
+                128
+            ]
+        },
+        "resize_size": [
+            128,
+            128
+        ],
+        "control_time_s": 30.0,
+        "fixed_reset_joint_positions": [
+            0.0,
+            0.195,
+            0.0,
+            -2.43,
+            0.0,
+            2.62,
+            0.785
+        ],
+        "reset_time_s": 2.0,
+        "control_mode": "gamepad"
+    },
+    "name": "franka_sim",
+    "mode": null,
+    "repo_id": "spirosperos/panda-pick-gamepad",
+    "dataset_root": null,
+    "task": "PandaPickCubeGamepad-v0",
+    "num_episodes": 30,
+    "episode": 0,
+    "pretrained_policy_name_or_path": null,
+    "device": "cuda",
+    "push_to_hub": true,
+    "fps": 10,
+    "random_block_position": true,
+    "number_of_steps_after_success": 0,
+    "features": {
+        "observation.images.front": {
+            "type": "VISUAL",
+            "shape": [
+                3,
+                128,
+                128
+            ]
+        },
+        "observation.images.wrist": {
+            "type": "VISUAL",
+            "shape": [
+                3,
+                128,
+                128
+            ]
+        },
+        "observation.state": {
+            "type": "STATE",
+            "shape": [
+                18
+            ]
+        },
+        "action": {
+            "type": "ACTION",
+            "shape": [
+                3
+            ]
+        }
+    },
+    "features_map": {
+        "observation.images.front": "observation.images.front",
+        "observation.images.wrist": "observation.images.wrist",
+        "observation.state": "observation.state",
+        "action": "action"
+    },
+    "reward_classifier_pretrained_path": null
+}
+}
\ No newline at end of file

From 92356b8060342c6fa2376a765d72562c680dac03 Mon Sep 17 00:00:00 2001
From: spirosperos <gicko3@gmail.com>
Date: Fri, 3 Oct 2025 13:46:11 +0200
Subject: [PATCH 3/9] cube grid randomizer mujoco

---
 examples/grid_hil_serl/README.md              | 117 +++++++++++++
 .../grid_hil_serl/grid_cube_randomizer.py     | 161 ++++++++++++++++++
 examples/grid_hil_serl/grid_scene.xml         |  37 ++++
 examples/grid_hil_serl/img.jpg                | Bin 0 -> 57744 bytes
 4 files changed, 315 insertions(+)
 create mode 100644 examples/grid_hil_serl/README.md
 create mode 100644 examples/grid_hil_serl/grid_cube_randomizer.py
 create mode 100644 examples/grid_hil_serl/grid_scene.xml
 create mode 100644 examples/grid_hil_serl/img.jpg

diff --git a/examples/grid_hil_serl/README.md b/examples/grid_hil_serl/README.md
new file mode 100644
index 0000000000..6bebbcb334
--- /dev/null
+++ b/examples/grid_hil_serl/README.md
@@ -0,0 +1,117 @@
+# Grid HIL SERL Environment
+
+This example demonstrates a custom Mujoco environment with an 8x8 grid world for robotic manipulation tasks using HIL (Human-in-the-Loop) SERL (Sample-Efficient Reinforcement Learning).
+
+## Overview
+
+The environment consists of:
+- An 8x8 grid world with high-definition visual rendering
+- A red cube that randomly spawns at grid cell centers
+- Top-left origin coordinate system (0,0) = top-left corner
+- Automatic high-definition image capture (1920x1080)
+
+## Files
+
+- `grid_scene.xml` - Mujoco scene definition with 8x8 grid
+- `grid_cube_randomizer.py` - Main script for randomizing cube positions
+- `README.md` - This documentation
+
+## Usage
+
+### Basic Usage
+```bash
+cd examples/grid_hil_serl
+python grid_cube_randomizer.py
+```
+
+### Command Line Options
+```bash
+# Disable automatic image saving
+python grid_cube_randomizer.py --no-save
+
+# Change randomization interval (seconds)
+python grid_cube_randomizer.py --interval 2.0
+
+# Custom scene file
+python grid_cube_randomizer.py --xml custom_scene.xml
+```
+
+## Features
+
+### Grid System
+- **8x8 grid**: 64 total cells
+- **Coordinate system**: (0,0) = top-left, (7,7) = bottom-right
+- **Cell centers**: Cube spawns at precise grid cell centers
+- **High-definition**: 32x32 texture with 256x256 resolution
+
+### Cube Positioning
+- **Random placement**: Uniform random distribution across all 64 cells
+- **Precise positioning**: Cube lands exactly at grid cell centers
+- **Physics compliant**: Proper velocity reset for instant teleportation
+- **Visual feedback**: Clear console output of cell coordinates
+
+### Image Capture
+- **HD resolution**: 1920x1080 (Full HD)
+- **Automatic saving**: Images saved after each cube repositioning
+- **Professional quality**: Suitable for datasets and documentation
+- **Top-down view**: Camera positioned for complete grid visibility
+
+## Coordinate System
+
+```
+(0,0) → (-3.5, 3.5)   (7,0) → (3.5, 3.5)
+      ↘                     ↙
+(0,7) → (-3.5, -3.5)  (7,7) → (3.5, -3.5)
+```
+
+## Integration with LeRobot
+
+This environment can be integrated with LeRobot's HIL-SERL framework by:
+
+1. Creating a custom environment class that inherits from `FrankaGymEnv`
+2. Implementing the observation and action spaces
+3. Adding reward functions for manipulation tasks
+4. Using the grid positioning system for task generation
+
+## Technical Details
+
+- **Physics**: Mujoco physics engine with proper joint control
+- **Rendering**: Offscreen rendering with PIL for image saving
+- **Randomization**: NumPy-based random number generation
+- **Threading**: Proper event handling for viewer controls
+
+## Example Output
+
+```
+Loading scene: grid_scene.xml
+
+==================================================
+8x8 Grid Cube Randomizer
+==================================================
+This scene shows an 8x8 grid with a randomly positioned cube.
+Cube position randomizes every 3.0 seconds.
+
+Controls:
+  R: Manually randomize cube position
+  S: Save current camera view to img.jpg
+  Space: Pause/unpause
+  Esc: Exit
+  Camera: Mouse controls for rotation/zoom
+==================================================
+Spawning cube at grid cell (3, 5) -> position (-0.5, -1.5)
+Camera view saved to: img.jpg
+Spawning cube at grid cell (1, 2) -> position (-2.5, 1.5)
+Camera view saved to: img.jpg
+```
+
+## Dependencies
+
+- mujoco
+- numpy
+- PIL (Pillow)
+- gymnasium (optional, for integration)
+
+## Related Examples
+
+- `hil_serl_simulation_training/` - Full HIL-SERL training examples
+- `lekiwi/` - Real robot integration examples
diff --git a/examples/grid_hil_serl/grid_cube_randomizer.py b/examples/grid_hil_serl/grid_cube_randomizer.py
new file mode 100644
index 0000000000..45ee111f19
--- /dev/null
+++ b/examples/grid_hil_serl/grid_cube_randomizer.py
@@ -0,0 +1,161 @@
+#!/usr/bin/env python
+
+"""
+Random Grid Cube Spawner
+
+This script loads the 8x8 grid scene and randomly positions a cube
+in one of the 64 grid cells. The cube spawns at integer coordinates
+within the grid boundaries.
+"""
+
+import numpy as np
+import mujoco
+import mujoco.viewer
+import argparse
+import time
+from PIL import Image
+
+
+def save_camera_view(model, data, filename="img.jpg"):
+    """
+    Save the current camera view to a JPEG image file.
+
+    Args:
+        model: Mujoco model
+        data: Mujoco data
+        filename: Output filename (default: img.jpg)
+    """
+    try:
+        # Create a high-definition renderer for the current camera
+        renderer = mujoco.Renderer(model, height=1080, width=1920)
+
+        # Update the scene and render
+        renderer.update_scene(data, camera="grid_camera")
+        img = renderer.render()
+
+        if img is not None:
+            # Convert to PIL Image and save
+            image = Image.fromarray(img)
+            image.save(filename)
+            print(f"Camera view saved to: {filename}")
+        else:
+            print("Warning: Could not capture camera view")
+
+        # Clean up renderer (if close method exists)
+        if hasattr(renderer, 'close'):
+            renderer.close()
+
+    except Exception as e:
+        print(f"Error saving image: {e}")
+
+
+def randomize_cube_position(model, data, grid_size=8):
+    """
+    Randomly position the cube in one of the grid cells.
+
+    Args:
+        model: Mujoco model
+        data: Mujoco data
+        grid_size: Size of the grid (8x8)
+    """
+    # For 8x8 grid: generate random cell indices from 0-7 for both x and y
+    # This gives us coordinates for each of the 64 grid cells
+    x_cell = np.random.randint(0, 8)  # 0 to 7 inclusive
+    y_cell = np.random.randint(0, 8)  # 0 to 7 inclusive
+
+    # Convert cell indices to center positions (offset by 0.5 from grid lines)
+    # X: left(0) = -3.5, right(7) = 3.5
+    x_pos = (x_cell - grid_size // 2) + 0.5
+    # Y: top(0) = 3.5, bottom(7) = -3.5 (flipped coordinate system)
+    y_pos = (grid_size // 2 - y_cell) - 0.5
+
+    print(f"Spawning cube at grid cell ({x_cell}, {y_cell}) -> position ({x_pos}, {y_pos})")
+
+    # Set the cube position and velocity (free joint has 6 DOF: 3 pos + 3 vel)
+    cube_joint_id = mujoco.mj_name2id(model, mujoco.mjtObj.mjOBJ_JOINT, "cube_joint")
+
+    # Set position (x, y, z) - keep rotation as identity (0, 0, 0)
+    data.qpos[model.jnt_qposadr[cube_joint_id]:model.jnt_qposadr[cube_joint_id] + 6] = [x_pos, y_pos, 0.5, 0, 0, 0]
+
+    # Reset velocity to zero (linear and angular velocities)
+    data.qvel[model.jnt_dofadr[cube_joint_id]:model.jnt_dofadr[cube_joint_id] + 6] = [0, 0, 0, 0, 0, 0]
+
+    return x_pos, y_pos
+
+
+def run_grid_viewer(xml_path, randomize_interval=2.0, auto_save=True):
+    """
+    Run the grid viewer with random cube positioning.
+
+    Args:
+        xml_path: Path to the XML scene file
+        randomize_interval: How often to randomize cube position (seconds)
+        auto_save: Whether to automatically save camera view after each repositioning
+    """
+    print(f"Loading scene: {xml_path}")
+    model = mujoco.MjModel.from_xml_path(xml_path)
+    data = mujoco.MjData(model)
+
+    print("\n" + "="*50)
+    print("8x8 Grid Cube Randomizer")
+    print("="*50)
+    print("This scene shows an 8x8 grid with a randomly positioned cube.")
+    print(f"Cube position randomizes every {randomize_interval} seconds.")
+    print()
+    print("Controls:")
+    print("  R: Manually randomize cube position")
+    print("  S: Save current camera view to img.jpg")
+    print("  Space: Pause/unpause")
+    print("  Esc: Exit")
+    print("  Camera: Mouse controls for rotation/zoom")
+    print("="*50)
+
+    last_randomize_time = 0
+
+    with mujoco.viewer.launch_passive(model, data) as viewer:
+        # Initial randomization
+        x, y = randomize_cube_position(model, data)
+        mujoco.mj_forward(model, data)
+
+        while viewer.is_running():
+            current_time = time.time()
+
+            # Auto-randomize every few seconds
+            if current_time - last_randomize_time > randomize_interval:
+                x, y = randomize_cube_position(model, data)
+                mujoco.mj_forward(model, data)
+                # Force viewer to update the scene
+                viewer.sync()
+                # Save the current camera view if auto_save is enabled
+                if auto_save:
+                    save_camera_view(model, data, "img.jpg")
+                last_randomize_time = current_time
+
+            # Small delay to prevent excessive CPU usage
+            time.sleep(0.01)
+
+        print("\nViewer closed.")
+
+
+def main():
+    parser = argparse.ArgumentParser(description="8x8 Grid Cube Randomizer")
+    parser.add_argument("--xml", type=str, default="grid_scene.xml",
+                       help="Path to XML scene file")
+    parser.add_argument("--interval", type=float, default=3.0,
+                       help="Randomization interval in seconds")
+    parser.add_argument("--no-save", action="store_true",
+                       help="Disable automatic saving of camera views")
+
+    args = parser.parse_args()
+
+    try:
+        run_grid_viewer(args.xml, args.interval, not args.no_save)
+    except FileNotFoundError:
+        print(f"Error: Could not find XML file '{args.xml}'")
+        print("Make sure the XML file exists in the current directory.")
+    except Exception as e:
+        print(f"Error: {e}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/grid_hil_serl/grid_scene.xml b/examples/grid_hil_serl/grid_scene.xml
new file mode 100644
index 0000000000..8340aa74d0
--- /dev/null
+++ b/examples/grid_hil_serl/grid_scene.xml
@@ -0,0 +1,37 @@
+<?xml version="1.0" encoding="utf-8"?>
+<mujoco model="grid_cube_scene">
+  <option timestep="0.002" gravity="0 0 -9.81"/>
+
+  <visual>
+    <global offwidth="1920" offheight="1080"/>
+  </visual>
+
+  <asset>
+    <!-- Grid texture: High-resolution 16x16 checkerboard pattern -->
+    <texture name="grid_texture" type="2d" builtin="checker"
+             rgb1="0.8 0.8 0.8" rgb2="0.2 0.2 0.2" width="256" height="256"/>
+    <material name="grid_material" texture="grid_texture" texrepeat="4 4"/>
+    <material name="cube_material" rgba="1.0 0.3 0.3 1"/>
+  </asset>
+
+  <worldbody>
+    <!-- Ground plane with 8x8 grid -->
+    <!-- Size is 4x4 to cover -4 to 4 range, giving 8 units total -->
+    <geom name="ground" type="plane" size="4 4 0.1" pos="0 0 0" material="grid_material"/>
+
+    <!-- Cube that spawns randomly in grid -->
+    <!-- Position will be randomized in code: x,y between -3.5 to 3.5 in 1-unit steps -->
+    <!-- Size is 0.4 to fit well within a grid cell -->
+    <body name="cube" pos="0 0 0.5">
+      <joint name="cube_joint" type="free"/>
+      <geom name="cube_geom" type="box" size="0.4 0.4 0.4" material="cube_material" mass="0.1"/>
+    </body>
+
+    <!-- Lighting -->
+    <light name="overhead_light" pos="0 0 10" mode="fixed"/>
+    <light name="side_light" pos="5 5 8" mode="fixed"/>
+
+    <!-- Camera looking down at the 8x8 grid -->
+    <camera name="grid_camera" pos="0 0 15" xyaxes="1 0 0 0 1 0" mode="fixed"/>
+  </worldbody>
+</mujoco>
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From a7632f1eeffab3261129a9142d931474ca9a41cb Mon Sep 17 00:00:00 2001
From: spirosperos <gicko3@gmail.com>
Date: Wed, 8 Oct 2025 15:18:09 +0200
Subject: [PATCH 4/9] lerobot dataset format

---
 examples/grid_hil_serl/README.md              |  63 +++++--
 examples/grid_hil_serl/record_grid_demo.py    | 166 ++++++++++++++++++
 .../record_grid_position_lerobot.json         |  18 ++
 3 files changed, 233 insertions(+), 14 deletions(-)
 create mode 100644 examples/grid_hil_serl/record_grid_demo.py
 create mode 100644 examples/grid_hil_serl/record_grid_position_lerobot.json

diff --git a/examples/grid_hil_serl/README.md b/examples/grid_hil_serl/README.md
index 6bebbcb334..60eac62bff 100644
--- a/examples/grid_hil_serl/README.md
+++ b/examples/grid_hil_serl/README.md
@@ -1,6 +1,6 @@
 # Grid HIL SERL Environment
 
-This example demonstrates a custom Mujoco environment with an 8x8 grid world for robotic manipulation tasks using HIL (Human-in-the-Loop) SERL (Sample-Efficient Reinforcement Learning).
+This example demonstrates a **simplified HIL-SERL setup** for computer vision-based grid position prediction. Instead of complex robotic manipulation, the algorithm learns to predict which of the 64 grid cells contains a red cube based on camera images, with human feedback during training.
 
 ## Overview
 
@@ -18,22 +18,37 @@ The environment consists of:
 
 ## Usage
 
-### Basic Usage
+### 1. Test the Environment
 ```bash
 cd examples/grid_hil_serl
 python grid_cube_randomizer.py
 ```
 
-### Command Line Options
+### 2. Record Demonstrations
 ```bash
-# Disable automatic image saving
-python grid_cube_randomizer.py --no-save
+# Record training data automatically
+python record_grid_demo.py --episodes 50 --steps 10
+
+# Or use LeRobot's recording script (standard dataset format)
+python -m lerobot.scripts.rl.gym_manipulator --config_path record_grid_position_lerobot.json
+```
+
+### 3. Train HIL-SERL Policy
+```bash
+# Terminal 1: Start learner
+python -m lerobot.scripts.rl.learner --config_path train_grid_position.json
+
+# Terminal 2: Start actor (with human feedback)
+python -m lerobot.scripts.rl.actor --config_path train_grid_position.json
+```
 
-# Change randomization interval (seconds)
-python grid_cube_randomizer.py --interval 2.0
+### Command Line Options
+```bash
+# Environment testing
+python grid_cube_randomizer.py --interval 2.0 --no-save
 
-# Custom scene file
-python grid_cube_randomizer.py --xml custom_scene.xml
+# Recording options
+python record_grid_demo.py --episodes 100 --steps 5 --output ./my_recordings
 ```
 
 ## Features
@@ -64,14 +79,34 @@ python grid_cube_randomizer.py --xml custom_scene.xml
 (0,7) → (-3.5, -3.5)  (7,7) → (3.5, -3.5)
 ```
 
+## HIL-SERL Workflow
+
+This simplified setup demonstrates the core HIL-SERL concept with minimal complexity:
+
+### Training Phase (Offline)
+1. **Automatic Data Collection**: Environment randomly places cube in different grid positions
+2. **Supervised Learning**: Algorithm learns to predict grid position from images
+3. **Ground Truth Labels**: Exact grid coordinates provided for each image
+
+### Human-in-the-Loop Phase (Online)
+1. **Algorithm Prediction**: Model predicts cube position from camera images
+2. **Human Feedback**: Human indicates if prediction is correct/incorrect
+3. **Iterative Learning**: Model improves based on human guidance
+
+### Key Simplifications
+- **No Robot Control**: Focus purely on computer vision prediction
+- **Discrete Predictions**: 64 possible outputs (one per grid cell)
+- **Perfect Ground Truth**: Exact position labels available
+- **Visual Task Only**: No complex motor control or physics
+
 ## Integration with LeRobot
 
-This environment can be integrated with LeRobot's HIL-SERL framework by:
+The environment integrates with LeRobot's HIL-SERL framework through:
 
-1. Creating a custom environment class that inherits from `FrankaGymEnv`
-2. Implementing the observation and action spaces
-3. Adding reward functions for manipulation tasks
-4. Using the grid positioning system for task generation
+1. **Custom Gym Environment**: `GridPositionPrediction-v0` registered with gymnasium
+2. **LeRobot-Compatible Interface**: Proper observation/action space formatting
+3. **Config Files**: `record_grid_position.json` and `train_grid_position.json`
+4. **Dataset Collection**: Automated recording of image-position pairs
 
 ## Technical Details
 
diff --git a/examples/grid_hil_serl/record_grid_demo.py b/examples/grid_hil_serl/record_grid_demo.py
new file mode 100644
index 0000000000..5c86d14d62
--- /dev/null
+++ b/examples/grid_hil_serl/record_grid_demo.py
@@ -0,0 +1,166 @@
+#!/usr/bin/env python
+
+"""
+Grid Position Prediction Recording Script
+
+This script records demonstrations for the grid position prediction task.
+It automatically randomizes cube positions and records image observations
+with corresponding grid position labels.
+"""
+
+import argparse
+import json
+import numpy as np
+from pathlib import Path
+from PIL import Image
+
+import sys
+
+# Ensure this script can import the local 'lerobot' package whether installed or not.
+# We add both the repository root and the 'src' directory (common layout: src/lerobot/...)
+_THIS_FILE = Path(__file__).resolve()
+_REPO_ROOT = _THIS_FILE.parents[2]
+_SRC_DIR = _REPO_ROOT / "src"
+for _p in (str(_REPO_ROOT), str(_SRC_DIR)):
+    if _p not in sys.path:
+        sys.path.insert(0, _p)
+
+from grid_position_env import GridPositionLeRobotEnv
+from lerobot.datasets.lerobot_dataset import LeRobotDataset
+
+
+def record_demonstrations_from_config(config_path: str):
+    """
+    Record demonstrations using a LeRobot-style JSON config.
+
+    Expects a config with keys similar to gym_manipulator:
+      - env.task (we use GridPositionPrediction-v0)
+      - env.fps (optional, default 10)
+      - dataset.repo_id, dataset.root, dataset.num_episodes_to_record, dataset.push_to_hub, dataset.task
+    """
+    with open(config_path, "r") as f:
+        cfg = json.load(f)
+
+    # Defaults and required fields
+    env_cfg = cfg.get("env", {})
+    dataset_cfg = cfg.get("dataset", {})
+
+    task_name = env_cfg.get("task", "GridPositionPrediction-v0")
+    fps = int(env_cfg.get("fps", 10))
+
+    repo_id = dataset_cfg.get("repo_id", "username/grid-position-prediction")
+    root = dataset_cfg.get("root", "./recording_grid_position_lerobot")
+    num_episodes = int(dataset_cfg.get("num_episodes_to_record", 10))
+    steps_per_episode = int(dataset_cfg.get("steps_per_episode", 5))
+    push_to_hub = bool(dataset_cfg.get("push_to_hub", False))
+    task_string = dataset_cfg.get("task", "grid_position_prediction")
+
+    root_path = Path(root)
+    if root_path.exists():
+        base = root_path
+        counter = 1
+        while True:
+            candidate = base.parent / f"{base.name}_{counter:03d}"
+            if not candidate.exists():
+                root_path = candidate
+                break
+            counter += 1
+
+    print(f"Recording {num_episodes} episodes to {root_path}")
+    print("=" * 50)
+
+    # Create environment
+    env = GridPositionLeRobotEnv()
+
+    # Infer image shape from first reset
+    obs, info = env.reset()
+    image_hwc = obs["observation.image"]  # H, W, C uint8
+    h, w, c = image_hwc.shape
+
+    # Define features for LeRobot dataset
+    # Observation: input image only; Action: target grid position as [x, y] integers
+    features = {
+        "observation.image": {"dtype": "image", "shape": (3, h, w), "names": None},
+        "action": {"dtype": "int64", "shape": (2,), "names": None},
+    }
+
+    # Initialize LeRobot dataset (images saved as files, rows in parquet)
+    dataset = LeRobotDataset.create(
+        repo_id=repo_id,
+        fps=fps,
+        features=features,
+        root=root_path,
+        use_videos=False,
+    )
+
+    total_frames = 0
+
+    for ep in range(num_episodes):
+        print(f"\nRecording episode {ep + 1}/{num_episodes}")
+
+        # Ensure a fresh episode
+        if dataset.episode_buffer is not None:
+            dataset.clear_episode_buffer()
+
+        # Reset env for each episode
+        obs, info = env.reset()
+        current_position = int(info["grid_position"])  # 0..63
+
+        for step in range(steps_per_episode):
+            # Save current image to img.jpg (for quick visual check)
+            image_array = obs["observation.image"]  # HWC uint8
+            Image.fromarray(image_array).save("img.jpg")
+
+            # Prepare frame for dataset: action stores the ground-truth position
+            action_xy = np.array([
+                current_position % 8,
+                current_position // 8,
+            ], dtype=np.int64)
+            frame = {
+                "observation.image": image_array,  # LeRobot will write image file
+                "action": action_xy,
+            }
+
+            dataset.add_frame(frame=frame, task=task_string)
+            total_frames += 1
+
+            print(
+                f"  Step {step + 1}: Position {current_position} "
+                f"(action=[{current_position % 8}, {current_position // 8}])"
+            )
+
+            # Advance environment (randomize cube position)
+            obs, reward, terminated, truncated, info = env.step(0)
+            current_position = int(info["grid_position"])  # next label
+
+        # Save episode to parquet + meta
+        dataset.save_episode()
+        print(f"  Saved episode {ep:06d} to dataset")
+
+    # Optionally push to hub
+    if push_to_hub:
+        print("\nPushing dataset to Hugging Face Hub...")
+        dataset.push_to_hub()
+
+    env.close()
+
+    print(f"\nRecording complete! Total frames: {total_frames}")
+    print(f"Dataset saved to: {root_path}")
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Record Grid Position Prediction Demonstrations (LeRobot format)")
+    parser.add_argument("--config_path", type=str, required=True, help="Path to LeRobot-style recording JSON config")
+
+    args = parser.parse_args()
+
+    try:
+        record_demonstrations_from_config(args.config_path)
+    except Exception as e:
+        print(f"Error: {e}")
+        import traceback
+        traceback.print_exc()
+
+
+if __name__ == "__main__":
+    main()
diff --git a/examples/grid_hil_serl/record_grid_position_lerobot.json b/examples/grid_hil_serl/record_grid_position_lerobot.json
new file mode 100644
index 0000000000..1ae86bfc53
--- /dev/null
+++ b/examples/grid_hil_serl/record_grid_position_lerobot.json
@@ -0,0 +1,18 @@
+{
+    "env": {
+        "type": "gym_manipulator",
+        "name": "grid_position",
+        "task": "GridPositionPrediction-v0"
+    },
+    "dataset": {
+        "repo_id": "spirosperos/grid-position-prediction",
+        "root": "./recording_grid_position_lerobot",
+        "task": "grid_position_prediction",
+        "num_episodes_to_record": 10,
+        "replay_episode": null,
+        "push_to_hub": true
+    },
+    "mode": "record"
+}
+
+

From f8ef9dabf0f9ac64ee8061035df94ad78ac9072b Mon Sep 17 00:00:00 2001
From: spirosperos <gicko3@gmail.com>
Date: Wed, 8 Oct 2025 15:18:17 +0200
Subject: [PATCH 5/9] fix

---
 examples/grid_hil_serl/grid_position_env.py | 237 ++++++++++++++++++++
 1 file changed, 237 insertions(+)
 create mode 100644 examples/grid_hil_serl/grid_position_env.py

diff --git a/examples/grid_hil_serl/grid_position_env.py b/examples/grid_hil_serl/grid_position_env.py
new file mode 100644
index 0000000000..41d69e6b0d
--- /dev/null
+++ b/examples/grid_hil_serl/grid_position_env.py
@@ -0,0 +1,237 @@
+#!/usr/bin/env python
+
+"""
+Grid Position Prediction Environment for HIL-SERL
+
+This environment provides image observations and grid position labels for training
+a position prediction policy using HIL-SERL. The task is simplified to predict
+which of the 64 grid cells contains the red cube.
+"""
+
+import numpy as np
+import gymnasium as gym
+from gymnasium import spaces
+import mujoco
+import mujoco.viewer
+from pathlib import Path
+from PIL import Image
+import time
+
+# Register the environment with gymnasium
+gym.register(
+    id="GridPositionPrediction-v0",
+    entry_point="examples.grid_hil_serl.grid_position_env:GridPositionLeRobotEnv",
+    kwargs={"xml_path": "grid_scene.xml"}
+)
+
+
+class GridPositionEnv(gym.Env):
+    """
+    Simplified environment for grid position prediction.
+
+    Observations: High-definition RGB images (1920x1080)
+    Actions: None (prediction-only task)
+    Reward: Binary feedback from human (correct/incorrect prediction)
+    """
+
+    def __init__(self, xml_path="grid_scene.xml", render_mode="rgb_array"):
+        super().__init__()
+
+        # Load Mujoco model
+        self.xml_path = Path(__file__).parent / xml_path
+        if not self.xml_path.exists():
+            raise FileNotFoundError(f"XML file not found: {self.xml_path}")
+
+        self.model = mujoco.MjModel.from_xml_path(str(self.xml_path))
+        self.data = mujoco.MjData(self.model)
+
+        # Setup renderer for observations
+        self.renderer = mujoco.Renderer(self.model, height=1080, width=1920)
+
+        # Observation space: High-definition RGB images
+        self.observation_space = spaces.Box(
+            low=0,
+            high=255,
+            shape=(1080, 1920, 3),
+            dtype=np.uint8
+        )
+
+        # Action space: Discrete grid positions (0-63 for 8x8 grid)
+        # We'll use a dummy action space since this is prediction-only
+        self.action_space = spaces.Discrete(1)  # Placeholder
+
+        # Environment state
+        self.current_position = None
+        self.grid_size = 8
+
+        # Initialize to random position
+        self._randomize_cube_position()
+
+    def _randomize_cube_position(self):
+        """Randomize cube position and return grid coordinates."""
+        # Generate random cell indices (0-7 for 8x8 grid)
+        x_cell = np.random.randint(0, self.grid_size)
+        y_cell = np.random.randint(0, self.grid_size)
+
+        # Convert to physical positions (top-left origin)
+        x_pos = (x_cell - self.grid_size // 2) + 0.5
+        y_pos = (self.grid_size // 2 - y_cell) - 0.5
+
+        # Set cube position
+        cube_joint_id = mujoco.mj_name2id(self.model, mujoco.mjtObj.mjOBJ_JOINT, "cube_joint")
+        self.data.qpos[mujoco.mj_name2id(self.model, mujoco.mjtObj.mjOBJ_JOINT, "cube_joint"):mujoco.mj_name2id(self.model, mujoco.mjtObj.mjOBJ_JOINT, "cube_joint") + 6] = [x_pos, y_pos, 0.5, 0, 0, 0]
+        self.data.qvel[mujoco.mj_name2id(self.model, mujoco.mjtObj.mjOBJ_JOINT, "cube_joint"):mujoco.mj_name2id(self.model, mujoco.mjtObj.mjOBJ_JOINT, "cube_joint") + 6] = [0, 0, 0, 0, 0, 0]
+
+        mujoco.mj_forward(self.model, self.data)
+
+        # Store current grid position (0-63)
+        self.current_position = y_cell * self.grid_size + x_cell
+
+        return self.current_position
+
+    def reset(self, seed=None, options=None):
+        """Reset environment to random cube position."""
+        super().reset(seed=seed)
+
+        # Randomize cube position
+        position = self._randomize_cube_position()
+
+        # Get observation
+        obs = self._get_observation()
+
+        return obs, {"grid_position": position}
+
+    def step(self, action):
+        """
+        Step function for HIL-SERL compatibility.
+
+        In this simplified version, actions are not used for control,
+        but for receiving human feedback on predictions.
+        """
+        # For now, just randomize position on each step
+        # In real HIL-SERL, this would be triggered by the learning algorithm
+        position = self._randomize_cube_position()
+        obs = self._get_observation()
+
+        # Placeholder reward (would be set by human feedback in HIL)
+        reward = 0.0
+        terminated = False
+        truncated = False
+
+        info = {
+            "grid_position": position,
+            "x_cell": position % self.grid_size,
+            "y_cell": position // self.grid_size
+        }
+
+        return obs, reward, terminated, truncated, info
+
+    def _get_observation(self):
+        """Get current camera observation."""
+        self.renderer.update_scene(self.data, camera="grid_camera")
+        img = self.renderer.render()
+        return img
+
+    def render(self):
+        """Render current observation."""
+        return self._get_observation()
+
+    def close(self):
+        """Clean up resources."""
+        # Renderer doesn't have a close method in this version
+        pass
+
+    def get_current_position(self):
+        """Get current grid position (0-63)."""
+        return self.current_position
+
+    def validate_prediction(self, predicted_position):
+        """
+        Validate a predicted position against current cube position.
+
+        Args:
+            predicted_position: Integer 0-63 representing predicted grid cell
+
+        Returns:
+            bool: True if prediction is correct
+        """
+        return predicted_position == self.current_position
+
+
+# LeRobot-compatible wrapper
+class GridPositionLeRobotEnv:
+    """
+    LeRobot-compatible wrapper for the grid position environment.
+    """
+
+    def __init__(self, xml_path="grid_scene.xml"):
+        self.env = GridPositionEnv(xml_path)
+
+        # LeRobot observation space format - use 'observation.image' as expected by SAC
+        self.observation_space = {
+            "observation.image": spaces.Box(
+                low=0, high=255, shape=(1080, 1920, 3), dtype=np.uint8
+            ),
+            "observation.state": spaces.Box(
+                low=-np.inf, high=np.inf, shape=(1,), dtype=np.float32
+            )
+        }
+
+        # Dummy action space for compatibility
+        self.action_space = spaces.Discrete(64)  # 64 possible grid positions
+
+    def reset(self, seed=None, options=None):
+        obs, info = self.env.reset(seed=seed, options=options)
+
+        # Convert to LeRobot format
+        lerobot_obs = {
+            "observation.image": obs,
+            "observation.state": np.array([info["grid_position"]], dtype=np.float32)
+        }
+
+        return lerobot_obs, info
+
+    def step(self, action):
+        obs, reward, terminated, truncated, info = self.env.step(action)
+
+        # Convert to LeRobot format
+        lerobot_obs = {
+            "observation.image": obs,
+            "observation.state": np.array([info["grid_position"]], dtype=np.float32)
+        }
+
+        return lerobot_obs, reward, terminated, truncated, info
+
+    def render(self):
+        return self.env.render()
+
+    def close(self):
+        return self.env.close()
+
+
+if __name__ == "__main__":
+    # Test the environment
+    env = GridPositionEnv()
+
+    print("Testing Grid Position Environment")
+    print("=" * 40)
+
+    obs, info = env.reset()
+    print(f"Initial position: {info['grid_position']}")
+    print(f"Observation shape: {obs.shape}")
+
+    # Test a few steps
+    for i in range(5):
+        obs, reward, terminated, truncated, info = env.step(0)
+        pos = info['grid_position']
+        x_cell = info['x_cell']
+        y_cell = info['y_cell']
+        print(f"Step {i+1}: Grid cell ({x_cell}, {y_cell}) = Position {pos}")
+
+        # Save sample image
+        img = Image.fromarray(obs)
+        img.save(f"sample_position_{pos}.jpg")
+        print(f"  Saved image: sample_position_{pos}.jpg")
+
+    env.close()
+    print("Environment test completed!")

From f7d7dc3319e7a51215d403cc02e217ee79facca6 Mon Sep 17 00:00:00 2001
From: spirosperos <gicko3@gmail.com>
Date: Wed, 8 Oct 2025 17:42:37 +0200
Subject: [PATCH 6/9] train

---
 examples/grid_hil_serl/grid_position_env.py   |  67 +++++++--
 examples/grid_hil_serl/record_grid_demo.py    |  32 ++++-
 .../grid_hil_serl/train_grid_position.json    | 108 +++++++++++++++
 src/lerobot/scripts/rl/actor.py               | 127 ++++++++++++++++++
 src/lerobot/scripts/rl/gym_manipulator.py     |  79 +++++++++++
 5 files changed, 394 insertions(+), 19 deletions(-)
 create mode 100644 examples/grid_hil_serl/train_grid_position.json

diff --git a/examples/grid_hil_serl/grid_position_env.py b/examples/grid_hil_serl/grid_position_env.py
index 41d69e6b0d..c7c1a081a9 100644
--- a/examples/grid_hil_serl/grid_position_env.py
+++ b/examples/grid_hil_serl/grid_position_env.py
@@ -34,7 +34,7 @@ class GridPositionEnv(gym.Env):
     Reward: Binary feedback from human (correct/incorrect prediction)
     """
 
-    def __init__(self, xml_path="grid_scene.xml", render_mode="rgb_array"):
+    def __init__(self, xml_path="grid_scene.xml", render_mode="rgb_array", show_viewer: bool = True):
         super().__init__()
 
         # Load Mujoco model
@@ -47,6 +47,14 @@ def __init__(self, xml_path="grid_scene.xml", render_mode="rgb_array"):
 
         # Setup renderer for observations
         self.renderer = mujoco.Renderer(self.model, height=1080, width=1920)
+        # Optional interactive viewer for visualization
+        self.viewer = None
+        self._show_viewer = bool(show_viewer)
+        if self._show_viewer:
+            try:
+                self.viewer = mujoco.viewer.launch_passive(self.model, self.data)
+            except Exception:
+                self.viewer = None
 
         # Observation space: High-definition RGB images
         self.observation_space = spaces.Box(
@@ -83,6 +91,11 @@ def _randomize_cube_position(self):
         self.data.qvel[mujoco.mj_name2id(self.model, mujoco.mjtObj.mjOBJ_JOINT, "cube_joint"):mujoco.mj_name2id(self.model, mujoco.mjtObj.mjOBJ_JOINT, "cube_joint") + 6] = [0, 0, 0, 0, 0, 0]
 
         mujoco.mj_forward(self.model, self.data)
+        if self.viewer is not None:
+            try:
+                self.viewer.sync()
+            except Exception:
+                pass
 
         # Store current grid position (0-63)
         self.current_position = y_cell * self.grid_size + x_cell
@@ -113,7 +126,7 @@ def step(self, action):
         position = self._randomize_cube_position()
         obs = self._get_observation()
 
-        # Placeholder reward (would be set by human feedback in HIL)
+        # Placeholder reward before wrapper computes it (will be recomputed in wrapper)
         reward = 0.0
         terminated = False
         truncated = False
@@ -139,7 +152,11 @@ def render(self):
     def close(self):
         """Clean up resources."""
         # Renderer doesn't have a close method in this version
-        pass
+        try:
+            if self.viewer is not None:
+                self.viewer.close()
+        except Exception:
+            pass
 
     def get_current_position(self):
         """Get current grid position (0-63)."""
@@ -165,39 +182,61 @@ class GridPositionLeRobotEnv:
     """
 
     def __init__(self, xml_path="grid_scene.xml"):
-        self.env = GridPositionEnv(xml_path)
+        self.env = GridPositionEnv(xml_path, show_viewer=True)
 
         # LeRobot observation space format - use 'observation.image' as expected by SAC
         self.observation_space = {
             "observation.image": spaces.Box(
                 low=0, high=255, shape=(1080, 1920, 3), dtype=np.uint8
-            ),
-            "observation.state": spaces.Box(
-                low=-np.inf, high=np.inf, shape=(1,), dtype=np.float32
             )
         }
 
-        # Dummy action space for compatibility
-        self.action_space = spaces.Discrete(64)  # 64 possible grid positions
+        # Action is predicted grid cell as 2-int vector [x, y] in [0,7]
+        self.action_space = spaces.Box(low=0.0, high=7.0, shape=(2,), dtype=np.float32)
 
     def reset(self, seed=None, options=None):
         obs, info = self.env.reset(seed=seed, options=options)
 
         # Convert to LeRobot format
         lerobot_obs = {
-            "observation.image": obs,
-            "observation.state": np.array([info["grid_position"]], dtype=np.float32)
+            "observation.image": obs
         }
 
         return lerobot_obs, info
 
     def step(self, action):
-        obs, reward, terminated, truncated, info = self.env.step(action)
+        # Compute reward based on predicted [x, y] vs current ground-truth before advancing env
+        gt_position = int(self.env.get_current_position())
+        gt_x = gt_position % self.env.grid_size
+        gt_y = gt_position // self.env.grid_size
+
+        # Clamp and round action to valid cell indices
+        action = np.asarray(action, dtype=np.float32)
+        pred_x = int(np.clip(np.rint(action[0]), 0, self.env.grid_size - 1))
+        pred_y = int(np.clip(np.rint(action[1]), 0, self.env.grid_size - 1))
+
+        # Dense reward shaping based on L1 grid error (normalized to [0,1])
+        max_l1 = 2 * (self.env.grid_size - 1)
+        l1_error = abs(pred_x - gt_x) + abs(pred_y - gt_y)
+        reward = 1.0 - (l1_error / max_l1)
+
+        # Advance environment to next random position
+        obs, _, terminated, truncated, info = self.env.step(0)
 
         # Convert to LeRobot format
         lerobot_obs = {
-            "observation.image": obs,
-            "observation.state": np.array([info["grid_position"]], dtype=np.float32)
+            "observation.image": obs
+        }
+
+        # Enrich info with prediction details
+        info = {
+            **info,
+            "gt_x": gt_x,
+            "gt_y": gt_y,
+            "pred_x": pred_x,
+            "pred_y": pred_y,
+            "correct": pred_x == gt_x and pred_y == gt_y,
+            "error.l1": float(l1_error),
         }
 
         return lerobot_obs, reward, terminated, truncated, info
diff --git a/examples/grid_hil_serl/record_grid_demo.py b/examples/grid_hil_serl/record_grid_demo.py
index 5c86d14d62..ed8153b742 100644
--- a/examples/grid_hil_serl/record_grid_demo.py
+++ b/examples/grid_hil_serl/record_grid_demo.py
@@ -72,16 +72,33 @@ def record_demonstrations_from_config(config_path: str):
     # Create environment
     env = GridPositionLeRobotEnv()
 
-    # Infer image shape from first reset
+    # Target image size for training (keep aspect ratio via center-square crop, then resize)
+    target_h, target_w = 128, 128
+
+    # Helper: center-square crop and resize to (128,128)
+    def _center_crop_resize(image_hwc: np.ndarray, out_h: int = 128, out_w: int = 128) -> np.ndarray:
+        h, w, _ = image_hwc.shape
+        side = min(h, w)
+        top = (h - side) // 2
+        left = (w - side) // 2
+        crop = image_hwc[top : top + side, left : left + side]
+        img = Image.fromarray(crop)
+        img = img.resize((out_w, out_h), resample=Image.BILINEAR)
+        return np.asarray(img, dtype=np.uint8)
+
+    # Prime env and process one frame to validate pipeline
     obs, info = env.reset()
     image_hwc = obs["observation.image"]  # H, W, C uint8
-    h, w, c = image_hwc.shape
+    image_hwc = _center_crop_resize(image_hwc, target_h, target_w)
 
     # Define features for LeRobot dataset
     # Observation: input image only; Action: target grid position as [x, y] integers
+    # Include reward/done to be compatible with RL replay buffer expectations
     features = {
-        "observation.image": {"dtype": "image", "shape": (3, h, w), "names": None},
+        "observation.image": {"dtype": "image", "shape": (3, target_h, target_w), "names": None},
         "action": {"dtype": "int64", "shape": (2,), "names": None},
+        "next.reward": {"dtype": "float32", "shape": (1,), "names": None},
+        "next.done": {"dtype": "bool", "shape": (1,), "names": None},
     }
 
     # Initialize LeRobot dataset (images saved as files, rows in parquet)
@@ -109,6 +126,7 @@ def record_demonstrations_from_config(config_path: str):
         for step in range(steps_per_episode):
             # Save current image to img.jpg (for quick visual check)
             image_array = obs["observation.image"]  # HWC uint8
+            image_array = _center_crop_resize(image_array, target_h, target_w)
             Image.fromarray(image_array).save("img.jpg")
 
             # Prepare frame for dataset: action stores the ground-truth position
@@ -116,9 +134,13 @@ def record_demonstrations_from_config(config_path: str):
                 current_position % 8,
                 current_position // 8,
             ], dtype=np.int64)
+            # Offline pretraining: use zero reward; mark done on last step of episode
+            is_last = (step == steps_per_episode - 1)
             frame = {
                 "observation.image": image_array,  # LeRobot will write image file
                 "action": action_xy,
+                "next.reward": np.array([0.0], dtype=np.float32),
+                "next.done": np.array([is_last], dtype=bool),
             }
 
             dataset.add_frame(frame=frame, task=task_string)
@@ -129,8 +151,8 @@ def record_demonstrations_from_config(config_path: str):
                 f"(action=[{current_position % 8}, {current_position // 8}])"
             )
 
-            # Advance environment (randomize cube position)
-            obs, reward, terminated, truncated, info = env.step(0)
+            # Advance environment using ground-truth action to satisfy env API
+            obs, reward, terminated, truncated, info = env.step(action_xy)
             current_position = int(info["grid_position"])  # next label
 
         # Save episode to parquet + meta
diff --git a/examples/grid_hil_serl/train_grid_position.json b/examples/grid_hil_serl/train_grid_position.json
new file mode 100644
index 0000000000..a3d238853d
--- /dev/null
+++ b/examples/grid_hil_serl/train_grid_position.json
@@ -0,0 +1,108 @@
+{
+    "output_dir": null,
+    "job_name": "grid_position",
+    "resume": false,
+    "seed": 1000,
+    "num_workers": 4,
+    "batch_size": 256,
+    "steps": 100000,
+    "log_freq": 50,
+    "save_checkpoint": true,
+    "save_freq": 10,
+    "wandb": {
+        "enable": false,
+        "project": "grid_hil_serl",
+        "disable_artifact": true
+    },
+    "dataset": {
+        "repo_id": "spirosperos/grid-position-prediction",
+        "root": "/home/nikola/lerobot_spes/recording_grid_position_lerobot_004",
+        "revision": null,
+        "use_imagenet_stats": false
+    },
+    "policy": {
+        "type": "sac",
+        "n_obs_steps": 1,
+        "repo_id": "spirosperos/grid-position-policy",
+        "normalization_mapping": {
+            "VISUAL": "MEAN_STD",
+            "ACTION": "MIN_MAX"
+        },
+        "input_features": {
+            "observation.image": {
+                "type": "VISUAL",
+                "shape": [3, 128, 128]
+            }
+        },
+        "output_features": {
+            "action": {
+                "type": "ACTION",
+                "shape": [2]
+            }
+        },
+        "device": "cuda",
+        "storage_device": "cpu",
+        "use_amp": false,
+        "use_torch_compile": false,
+        "shared_encoder": true,
+        "freeze_vision_encoder": false,
+        "vision_encoder_name": "helper2424/resnet10",
+        "image_encoder_hidden_dim": 32,
+        "image_embedding_pooling_dim": 8,
+        "latent_dim": 64,
+        "actor_network_kwargs": { "hidden_dims": [256, 256], "activate_final": true },
+        "critic_network_kwargs": { "hidden_dims": [256, 256], "activate_final": true, "final_activation": null },
+        "num_critics": 2,
+        "actor_lr": 0.0003,
+        "critic_lr": 0.0003,
+        "temperature_lr": 0.0003,
+        "temperature_init": 0.01,
+        "discount": 0.97,
+        "critic_target_update_weight": 0.005,
+        "policy_update_freq": 1,
+        "utd_ratio": 2,
+        "grad_clip_norm": 10.0,
+        "offline_buffer_capacity": 1000,
+        "online_buffer_capacity": 10000,
+        "online_steps": 1000000,
+        "online_step_before_learning": 100,
+        "async_prefetch": false,
+        "actor_learner_config": {
+            "learner_host": "127.0.0.1",
+            "learner_port": 50053,
+            "policy_parameters_push_frequency": 1,
+            "queue_get_timeout": 2
+        },
+        "push_to_hub": true,
+        "license": null,
+        "private": null,
+        "tags": null
+    },
+    "env": {
+        "type": "gym_manipulator",
+        "task": "GridPositionPrediction-v0",
+    "mode": "auto_supervision",
+        "fps": 10,
+        "device": "cuda",
+        "features": {
+            "observation.image": {
+                "type": "VISUAL",
+                "shape": [3, 128, 128]
+            },
+            "action": {
+                "type": "ACTION",
+                "shape": [2]
+            }
+        },
+        "features_map": {
+            "observation.image": "observation.image",
+            "action": "action"
+        },
+        "wrapper": {
+            "resize_size": [128, 128],
+            "display_cameras": false
+        }
+    }
+}
+
+
diff --git a/src/lerobot/scripts/rl/actor.py b/src/lerobot/scripts/rl/actor.py
index fcbbd4230d..f496d00feb 100644
--- a/src/lerobot/scripts/rl/actor.py
+++ b/src/lerobot/scripts/rl/actor.py
@@ -266,6 +266,11 @@ def act_with_policy(
     episode_intervention_steps = 0
     episode_total_steps = 0
 
+    # Auto-supervision running stats (accuracy and L1 error)
+    auto_steps = 0
+    auto_correct = 0
+    auto_l1_sum = 0.0
+
     policy_timer = TimerManager("Policy inference", log=False)
 
     for interaction_step in range(cfg.policy.online_steps):
@@ -285,6 +290,77 @@ def act_with_policy(
         else:
             action = online_env.action_space.sample()
 
+        # Optional human confirmation for grid task
+        is_grid_task = getattr(cfg.env, "task", "") == "GridPositionPrediction-v0"
+        is_auto_supervision = getattr(cfg.env, "mode", "") == "auto_supervision"
+        user_corrected = False
+        corrected_action_tensor = None
+        if is_grid_task and not is_auto_supervision:
+            try:
+                import numpy as np
+                # Convert action to CPU numpy and flatten
+                act_np = action.detach().cpu().numpy() if hasattr(action, "detach") else np.array(action)
+                act_np = np.array(act_np).reshape(-1)
+                if act_np.size >= 2:
+                    pred_x = int(np.clip(np.rint(act_np[0]), 0, 7))
+                    pred_y = int(np.clip(np.rint(act_np[1]), 0, 7))
+                    print(f"[HIL] Predicted grid: [{pred_x}, {pred_y}]  (raw={act_np[:2]})")
+                    user = input("[HIL] Press Enter to accept or type corrected x,y (0-7): ").strip()
+                    if user:
+                        try:
+                            ux, uy = [int(s) for s in user.split(",")]
+                            ux = int(np.clip(ux, 0, 7))
+                            uy = int(np.clip(uy, 0, 7))
+                            corrected_action_tensor = torch.tensor([ux, uy], dtype=torch.float32, device=device)
+                            action = corrected_action_tensor
+                            user_corrected = True
+                        except Exception:
+                            print("[HIL] Invalid input, keeping predicted action.")
+            except Exception as e:
+                logging.warning(f"[HIL] Human confirmation skipped due to error: {e}")
+
+        # Auto-supervision path: replace action with ground-truth and record prediction for stats
+        pred_for_stats = None
+        gt_x_pre = None
+        gt_y_pre = None
+        if is_grid_task and is_auto_supervision:
+            try:
+                import numpy as np
+                # Compute predicted indices from current action for stats
+                act_np = action.detach().cpu().numpy() if hasattr(action, "detach") else np.array(action)
+                act_np = np.array(act_np).reshape(-1)
+                if act_np.size >= 2:
+                    pred_x = int(np.clip(np.rint(act_np[0]), 0, 7))
+                    pred_y = int(np.clip(np.rint(act_np[1]), 0, 7))
+                    pred_for_stats = (pred_x, pred_y)
+
+                # Walk wrappers to find current GT before stepping
+                env_cursor = online_env
+                for _ in range(8):
+                    # Direct method on cursor
+                    if hasattr(env_cursor, "get_current_position"):
+                        pos = env_cursor.get_current_position()
+                        gt_x_pre = int(pos % 8)
+                        gt_y_pre = int(pos // 8)
+                        break
+                    # Method on nested env
+                    if hasattr(env_cursor, "env") and hasattr(env_cursor.env, "get_current_position"):
+                        pos = env_cursor.env.get_current_position()
+                        gt_x_pre = int(pos % 8)
+                        gt_y_pre = int(pos // 8)
+                        break
+                    if hasattr(env_cursor, "env"):
+                        env_cursor = env_cursor.env
+                    else:
+                        break
+
+                if gt_x_pre is not None and gt_y_pre is not None:
+                    corrected_action_tensor = torch.tensor([gt_x_pre, gt_y_pre], dtype=torch.float32, device=device)
+                    action = corrected_action_tensor
+                    user_corrected = True  # treat as intervention for buffers
+            except Exception as e:
+                logging.debug(f"[HIL] Auto-supervision GT fetch failed: {e}")
+
         # Debug logging for action generation
         if interaction_step % 100 == 0:  # Log every 100 steps to avoid spam
             action_np = action.detach().cpu().numpy() if hasattr(action, "detach") else action
@@ -296,6 +372,57 @@ def act_with_policy(
 
         next_obs, reward, done, truncated, info = online_env.step(action)
 
+        # For grid task, attach complementary info for learner about predictions and corrections
+        if is_grid_task:
+            try:
+                import numpy as np
+                # Extract GT and computed reward/error from env info when available
+                gt_x = info.get("gt_x")
+                gt_y = info.get("gt_y")
+                pred_x = info.get("pred_x")
+                pred_y = info.get("pred_y")
+                error_l1 = info.get("error.l1")
+
+                # Mark whether human intervened at this step
+                info["is_intervention"] = bool(user_corrected)
+                if user_corrected and corrected_action_tensor is not None:
+                    info["action_intervention"] = corrected_action_tensor.detach().cpu()
+
+                # Also log the raw prediction error vector
+                if pred_x is not None and gt_x is not None:
+                    info["error.dx"] = int(pred_x) - int(gt_x)
+                    info["error.dy"] = int(pred_y) - int(gt_y)
+                if error_l1 is not None:
+                    info["error.l1"] = float(error_l1)
+
+                # If auto-supervision, overwrite stats with pre-step pred vs pre-step GT when available
+                if is_auto_supervision and pred_for_stats is not None and gt_x_pre is not None:
+                    dx = pred_for_stats[0] - gt_x_pre
+                    dy = pred_for_stats[1] - gt_y_pre
+                    info["auto.pred_x"] = int(pred_for_stats[0])
+                    info["auto.pred_y"] = int(pred_for_stats[1])
+                    info["auto.gt_x"] = int(gt_x_pre)
+                    info["auto.gt_y"] = int(gt_y_pre)
+                    info["auto.error.dx"] = int(dx)
+                    info["auto.error.dy"] = int(dy)
+                    info["auto.error.l1"] = int(abs(dx) + abs(dy))
+
+                    # Update running stats
+                    auto_steps += 1
+                    auto_l1_sum += abs(dx) + abs(dy)
+                    if dx == 0 and dy == 0:
+                        auto_correct += 1
+
+                    # Periodically log convergence stats
+                    if auto_steps % 50 == 0:
+                        acc = 100.0 * auto_correct / max(1, auto_steps)
+                        mean_l1 = auto_l1_sum / max(1, auto_steps)
+                        logging.info(
+                            f"[AUTO] steps={auto_steps} accuracy={acc:.1f}% mean_L1={mean_l1:.3f}"
+                        )
+            except Exception as e:
+                logging.debug(f"[HIL] Could not attach grid info: {e}")
+
         sum_reward_episode += float(reward)
         # Increment total steps counter for intervention rate
         episode_total_steps += 1
diff --git a/src/lerobot/scripts/rl/gym_manipulator.py b/src/lerobot/scripts/rl/gym_manipulator.py
index 68c8ce02d5..9d1b398f38 100644
--- a/src/lerobot/scripts/rl/gym_manipulator.py
+++ b/src/lerobot/scripts/rl/gym_manipulator.py
@@ -1912,6 +1912,85 @@ def make_robot_env(cfg: EnvConfig) -> gym.Env:
         env = TorchActionWrapper(env=env, device=cfg.device)
         return env
 
+    # Custom lightweight gym path for grid position env without a robot
+    if cfg.type == "gym_manipulator" and getattr(cfg, "task", None) == "GridPositionPrediction-v0" and (
+        not hasattr(cfg, "robot") or getattr(cfg, "robot", None) is None
+    ):
+        # Dynamically load the example env without requiring it to be a package
+        try:
+            from examples.grid_hil_serl.grid_position_env import GridPositionLeRobotEnv  # type: ignore
+        except Exception:
+            import importlib.util
+            import sys
+            from pathlib import Path
+
+            # __file__ = repo_root/src/lerobot/scripts/rl/gym_manipulator.py
+            # repo_root is parents[4]
+            repo_root = Path(__file__).resolve().parents[4]
+            mod_path = repo_root / "examples/grid_hil_serl/grid_position_env.py"
+            spec = importlib.util.spec_from_file_location("grid_position_env", str(mod_path))
+            assert spec and spec.loader, f"Failed to load module at {mod_path}"
+            module = importlib.util.module_from_spec(spec)
+            spec.loader.exec_module(module)  # type: ignore[attr-defined]
+            GridPositionLeRobotEnv = getattr(module, "GridPositionLeRobotEnv")
+
+        env = GridPositionLeRobotEnv()
+        # Ensure simulation window is visible for human supervision
+        try:
+            # If underlying env exposes a 'viewer', try to show/sync it
+            if hasattr(env, "env") and hasattr(env.env, "viewer") and env.env.viewer is not None:
+                env.env.viewer.sync()
+        except Exception:
+            pass
+
+        # Optional center-crop + resize to match training resolution
+        resize_size = getattr(getattr(cfg, "wrapper", None), "resize_size", None)
+        if resize_size is not None:
+            import numpy as np
+            from PIL import Image
+
+            class _ResizeWrapper(gym.ObservationWrapper):
+                def __init__(self, env: gym.Env, size: list[int] | tuple[int, int]):
+                    super().__init__(env)
+                    # size is [H, W]
+                    self.size = (int(size[0]), int(size[1]))
+
+                def observation(self, observation: dict[str, Any]) -> dict[str, Any]:
+                    img = observation["observation.image"]  # HWC uint8
+                    h, w, _ = img.shape
+                    side = min(h, w)
+                    top = (h - side) // 2
+                    left = (w - side) // 2
+                    crop = img[top : top + side, left : left + side]
+                    pil = Image.fromarray(crop)
+                    pil = pil.resize((self.size[1], self.size[0]), Image.BILINEAR)
+                    observation["observation.image"] = np.asarray(pil, dtype=np.uint8)
+                    return observation
+
+            env = _ResizeWrapper(env=env, size=resize_size)
+
+        # Convert numpy observations to torch tensors on the right device without
+        # relying on preprocess_observation (no 'agent_pos' in this env)
+        import torch
+        import numpy as np
+
+        class _ToTorchImageWrapper(gym.ObservationWrapper):
+            def __init__(self, env: gym.Env, device: str):
+                super().__init__(env)
+                self.device = torch.device(device)
+
+            def observation(self, observation: dict[str, Any]) -> dict[str, Any]:
+                img = observation["observation.image"]  # HWC uint8 numpy
+                # HWC -> CHW, uint8 -> float32 in [0,1]
+                img_t = torch.from_numpy(np.ascontiguousarray(img)).permute(2, 0, 1).float() / 255.0
+                observation["observation.image"] = img_t.to(self.device, non_blocking=self.device.type == "cuda")
+                return observation
+
+        env = _ToTorchImageWrapper(env=env, device=cfg.device)
+        env = BatchCompatibleWrapper(env=env)
+        env = TorchActionWrapper(env=env, device=cfg.device)
+        return env
+
     if not hasattr(cfg, "robot") or not hasattr(cfg, "teleop"):
         raise ValueError(
             "Configuration for 'gym_manipulator' must be HILSerlRobotEnvConfig with robot and teleop."

From 260aeea14d00637ea6e7dcc0904db88f1cc469c8 Mon Sep 17 00:00:00 2001
From: spirosperos <gicko3@gmail.com>
Date: Thu, 30 Oct 2025 14:51:50 +0100
Subject: [PATCH 7/9] fix

---
 examples/grid_hil_serl/README.md              |  15 +--
 examples/grid_hil_serl/grid_position_env.py   |  74 +++++++------
 examples/grid_hil_serl/record_grid_demo.py    |  32 ++++--
 .../record_grid_position_lerobot.json         |   5 +-
 .../grid_hil_serl/train_grid_position.json    |  32 ++++--
 src/lerobot/policies/sac/modeling_sac.py      |  50 ++++++---
 src/lerobot/scripts/rl/actor.py               | 102 +++++++++++++-----
 src/lerobot/scripts/rl/gym_manipulator.py     |  90 ++++++++++++++--
 src/lerobot/scripts/rl/learner.py             |  14 ++-
 src/lerobot/utils/buffer.py                   |   6 +-
 10 files changed, 298 insertions(+), 122 deletions(-)

diff --git a/examples/grid_hil_serl/README.md b/examples/grid_hil_serl/README.md
index 60eac62bff..87bb2510aa 100644
--- a/examples/grid_hil_serl/README.md
+++ b/examples/grid_hil_serl/README.md
@@ -1,6 +1,6 @@
 # Grid HIL SERL Environment
 
-This example demonstrates a **simplified HIL-SERL setup** for computer vision-based grid position prediction. Instead of complex robotic manipulation, the algorithm learns to predict which of the 64 grid cells contains a red cube based on camera images, with human feedback during training.
+This example demonstrates a **simplified HIL-SERL setup** for computer vision-based grid position prediction. Instead of complex robotic manipulation, the algorithm learns to predict which of the 64 grid cells contains a red cube based on camera images, with human feedback during training. Episodes are single prediction attempts: if the guess is correct, the agent receives reward 1; otherwise reward 0.
 
 ## Overview
 
@@ -26,8 +26,8 @@ python grid_cube_randomizer.py
 
 ### 2. Record Demonstrations
 ```bash
-# Record training data automatically
-python record_grid_demo.py --episodes 50 --steps 10
+# Record training data automatically (single step episodes)
+python examples/grid_hil_serl/record_grid_demo.py --config_path examples/grid_hil_serl/record_grid_position_lerobot.json
 
 # Or use LeRobot's recording script (standard dataset format)
 python -m lerobot.scripts.rl.gym_manipulator --config_path record_grid_position_lerobot.json
@@ -47,8 +47,8 @@ python -m lerobot.scripts.rl.actor --config_path train_grid_position.json
 # Environment testing
 python grid_cube_randomizer.py --interval 2.0 --no-save
 
-# Recording options
-python record_grid_demo.py --episodes 100 --steps 5 --output ./my_recordings
+# Recording options (edit the JSON config to change episodes/root)
+python examples/grid_hil_serl/record_grid_demo.py --config_path examples/grid_hil_serl/record_grid_position_lerobot.json
 ```
 
 ## Features
@@ -90,11 +90,12 @@ This simplified setup demonstrates the core HIL-SERL concept with minimal comple
 
 ### Human-in-the-Loop Phase (Online)
 1. **Algorithm Prediction**: Model predicts cube position from camera images
-2. **Human Feedback**: Human indicates if prediction is correct/incorrect
-3. **Iterative Learning**: Model improves based on human guidance
+2. **Binary Feedback**: Human (or auto-supervision) accepts or corrects the guess
+3. **Iterative Learning**: Model improves based on the accepted/corrected outcome
 
 ### Key Simplifications
 - **No Robot Control**: Focus purely on computer vision prediction
+- **Single-Step Episodes**: One prediction per episode with immediate success/failure reward
 - **Discrete Predictions**: 64 possible outputs (one per grid cell)
 - **Perfect Ground Truth**: Exact position labels available
 - **Visual Task Only**: No complex motor control or physics
diff --git a/examples/grid_hil_serl/grid_position_env.py b/examples/grid_hil_serl/grid_position_env.py
index c7c1a081a9..2f30190ed5 100644
--- a/examples/grid_hil_serl/grid_position_env.py
+++ b/examples/grid_hil_serl/grid_position_env.py
@@ -4,8 +4,8 @@
 Grid Position Prediction Environment for HIL-SERL
 
 This environment provides image observations and grid position labels for training
-a position prediction policy using HIL-SERL. The task is simplified to predict
-which of the 64 grid cells contains the red cube.
+a position prediction policy using HIL-SERL. Episodes are single-step: the agent
+predicts which grid cell contains the cube and immediately receives binary feedback.
 """
 
 import numpy as np
@@ -15,8 +15,6 @@
 import mujoco.viewer
 from pathlib import Path
 from PIL import Image
-import time
-
 # Register the environment with gymnasium
 gym.register(
     id="GridPositionPrediction-v0",
@@ -30,7 +28,7 @@ class GridPositionEnv(gym.Env):
     Simplified environment for grid position prediction.
 
     Observations: High-definition RGB images (1920x1080)
-    Actions: None (prediction-only task)
+    Actions: Discrete grid index (0-63)
     Reward: Binary feedback from human (correct/incorrect prediction)
     """
 
@@ -64,13 +62,18 @@ def __init__(self, xml_path="grid_scene.xml", render_mode="rgb_array", show_view
             dtype=np.uint8
         )
 
-        # Action space: Discrete grid positions (0-63 for 8x8 grid)
-        # We'll use a dummy action space since this is prediction-only
-        self.action_space = spaces.Discrete(1)  # Placeholder
+        self.grid_size = 8
+
+        # Action space: continuous pair in [-1, 1]
+        self.action_space = spaces.Box(
+            low=np.full(2, -1.0, dtype=np.float32),
+            high=np.full(2, 1.0, dtype=np.float32),
+            dtype=np.float32,
+        )
 
         # Environment state
         self.current_position = None
-        self.grid_size = 8
+
 
         # Initialize to random position
         self._randomize_cube_position()
@@ -115,20 +118,13 @@ def reset(self, seed=None, options=None):
         return obs, {"grid_position": position}
 
     def step(self, action):
-        """
-        Step function for HIL-SERL compatibility.
-
-        In this simplified version, actions are not used for control,
-        but for receiving human feedback on predictions.
-        """
-        # For now, just randomize position on each step
-        # In real HIL-SERL, this would be triggered by the learning algorithm
+        """Advance to the next random position (single-step episodes)."""
         position = self._randomize_cube_position()
         obs = self._get_observation()
 
-        # Placeholder reward before wrapper computes it (will be recomputed in wrapper)
+        # Placeholder reward; the wrapper computes the binary reward.
         reward = 0.0
-        terminated = False
+        terminated = True
         truncated = False
 
         info = {
@@ -191,8 +187,12 @@ def __init__(self, xml_path="grid_scene.xml"):
             )
         }
 
-        # Action is predicted grid cell as 2-int vector [x, y] in [0,7]
-        self.action_space = spaces.Box(low=0.0, high=7.0, shape=(2,), dtype=np.float32)
+        # Action is predicted grid cell coordinates in [-1, 1]
+        self.action_space = spaces.Box(
+            low=np.full(2, -1.0, dtype=np.float32),
+            high=np.full(2, 1.0, dtype=np.float32),
+            dtype=np.float32,
+        )
 
     def reset(self, seed=None, options=None):
         obs, info = self.env.reset(seed=seed, options=options)
@@ -205,23 +205,28 @@ def reset(self, seed=None, options=None):
         return lerobot_obs, info
 
     def step(self, action):
-        # Compute reward based on predicted [x, y] vs current ground-truth before advancing env
+        # Compute reward based on predicted grid index
         gt_position = int(self.env.get_current_position())
         gt_x = gt_position % self.env.grid_size
         gt_y = gt_position // self.env.grid_size
 
-        # Clamp and round action to valid cell indices
-        action = np.asarray(action, dtype=np.float32)
-        pred_x = int(np.clip(np.rint(action[0]), 0, self.env.grid_size - 1))
-        pred_y = int(np.clip(np.rint(action[1]), 0, self.env.grid_size - 1))
+        action_arr = np.asarray(action, dtype=np.float32).reshape(-1)
+        if action_arr.size >= 2:
+            # Policy emits values in [-1, 1]; rescale to [0, grid_size - 1]
+            scaled = (np.clip(action_arr[:2], -1.0, 1.0) + 1.0) * 0.5 * (self.env.grid_size - 1)
+            pred_x = int(np.clip(np.rint(scaled[0]), 0, self.env.grid_size - 1))
+            pred_y = int(np.clip(np.rint(scaled[1]), 0, self.env.grid_size - 1))
+        else:
+            pred_x = pred_y = 0
 
-        # Dense reward shaping based on L1 grid error (normalized to [0,1])
-        max_l1 = 2 * (self.env.grid_size - 1)
-        l1_error = abs(pred_x - gt_x) + abs(pred_y - gt_y)
-        reward = 1.0 - (l1_error / max_l1)
+        # Binary reward: 1 for exact match, 0 otherwise
+        correct = pred_x == gt_x and pred_y == gt_y
+        reward = 1.0 if correct else 0.0
 
         # Advance environment to next random position
-        obs, _, terminated, truncated, info = self.env.step(0)
+        obs, _, _, _, info = self.env.step([0.0, 0.0])
+        terminated = True
+        truncated = False
 
         # Convert to LeRobot format
         lerobot_obs = {
@@ -229,14 +234,19 @@ def step(self, action):
         }
 
         # Enrich info with prediction details
+        l1_error = abs(pred_x - gt_x) + abs(pred_y - gt_y)
+
         info = {
             **info,
             "gt_x": gt_x,
             "gt_y": gt_y,
+            "gt_index": gt_position,
             "pred_x": pred_x,
             "pred_y": pred_y,
-            "correct": pred_x == gt_x and pred_y == gt_y,
+            "pred_index": pred_y * self.env.grid_size + pred_x,
+            "correct": correct,
             "error.l1": float(l1_error),
+            "reward": reward,
         }
 
         return lerobot_obs, reward, terminated, truncated, info
diff --git a/examples/grid_hil_serl/record_grid_demo.py b/examples/grid_hil_serl/record_grid_demo.py
index ed8153b742..a8e266dbc9 100644
--- a/examples/grid_hil_serl/record_grid_demo.py
+++ b/examples/grid_hil_serl/record_grid_demo.py
@@ -51,7 +51,7 @@ def record_demonstrations_from_config(config_path: str):
     repo_id = dataset_cfg.get("repo_id", "username/grid-position-prediction")
     root = dataset_cfg.get("root", "./recording_grid_position_lerobot")
     num_episodes = int(dataset_cfg.get("num_episodes_to_record", 10))
-    steps_per_episode = int(dataset_cfg.get("steps_per_episode", 5))
+    steps_per_episode = int(dataset_cfg.get("steps_per_episode", 1))
     push_to_hub = bool(dataset_cfg.get("push_to_hub", False))
     task_string = dataset_cfg.get("task", "grid_position_prediction")
 
@@ -92,11 +92,11 @@ def _center_crop_resize(image_hwc: np.ndarray, out_h: int = 128, out_w: int = 12
     image_hwc = _center_crop_resize(image_hwc, target_h, target_w)
 
     # Define features for LeRobot dataset
-    # Observation: input image only; Action: target grid position as [x, y] integers
+    # Observation: input image only; Action: normalized grid coordinates in [-1, 1]
     # Include reward/done to be compatible with RL replay buffer expectations
     features = {
         "observation.image": {"dtype": "image", "shape": (3, target_h, target_w), "names": None},
-        "action": {"dtype": "int64", "shape": (2,), "names": None},
+        "action": {"dtype": "float32", "shape": (2,), "names": None},
         "next.reward": {"dtype": "float32", "shape": (1,), "names": None},
         "next.done": {"dtype": "bool", "shape": (1,), "names": None},
     }
@@ -129,17 +129,23 @@ def _center_crop_resize(image_hwc: np.ndarray, out_h: int = 128, out_w: int = 12
             image_array = _center_crop_resize(image_array, target_h, target_w)
             Image.fromarray(image_array).save("img.jpg")
 
-            # Prepare frame for dataset: action stores the ground-truth position
-            action_xy = np.array([
-                current_position % 8,
-                current_position // 8,
-            ], dtype=np.int64)
-            # Offline pretraining: use zero reward; mark done on last step of episode
+            # Prepare frame for dataset: action stores normalized coordinates
+            grid_x = current_position % 8
+            grid_y = current_position // 8
+            action_xy = np.array(
+                [
+                    (grid_x / 7.0) * 2.0 - 1.0,
+                    (grid_y / 7.0) * 2.0 - 1.0,
+                ],
+                dtype=np.float32,
+            )
+            # Offline pretraining: binary reward with single-step episodes; mark done on last step
             is_last = (step == steps_per_episode - 1)
+            reward_value = 1.0  # Offline recording always logs the ground-truth action (correct prediction)
             frame = {
                 "observation.image": image_array,  # LeRobot will write image file
                 "action": action_xy,
-                "next.reward": np.array([0.0], dtype=np.float32),
+                "next.reward": np.array([reward_value], dtype=np.float32),
                 "next.done": np.array([is_last], dtype=bool),
             }
 
@@ -148,12 +154,16 @@ def _center_crop_resize(image_hwc: np.ndarray, out_h: int = 128, out_w: int = 12
 
             print(
                 f"  Step {step + 1}: Position {current_position} "
-                f"(action=[{current_position % 8}, {current_position // 8}])"
+                f"(action_norm=[{action_xy[0]:.3f}, {action_xy[1]:.3f}] -> x={grid_x}, y={grid_y})"
             )
 
             # Advance environment using ground-truth action to satisfy env API
             obs, reward, terminated, truncated, info = env.step(action_xy)
             current_position = int(info["grid_position"])  # next label
+            print(
+                f"    Next cube position -> index={current_position} "
+                f"(x={current_position % 8}, y={current_position // 8})"
+            )
 
         # Save episode to parquet + meta
         dataset.save_episode()
diff --git a/examples/grid_hil_serl/record_grid_position_lerobot.json b/examples/grid_hil_serl/record_grid_position_lerobot.json
index 1ae86bfc53..b3ba235b3f 100644
--- a/examples/grid_hil_serl/record_grid_position_lerobot.json
+++ b/examples/grid_hil_serl/record_grid_position_lerobot.json
@@ -8,11 +8,10 @@
         "repo_id": "spirosperos/grid-position-prediction",
         "root": "./recording_grid_position_lerobot",
         "task": "grid_position_prediction",
-        "num_episodes_to_record": 10,
+        "steps_per_episode": 1,
+        "num_episodes_to_record": 200,
         "replay_episode": null,
         "push_to_hub": true
     },
     "mode": "record"
 }
-
-
diff --git a/examples/grid_hil_serl/train_grid_position.json b/examples/grid_hil_serl/train_grid_position.json
index a3d238853d..ec6a93874e 100644
--- a/examples/grid_hil_serl/train_grid_position.json
+++ b/examples/grid_hil_serl/train_grid_position.json
@@ -7,7 +7,7 @@
     "batch_size": 256,
     "steps": 100000,
     "log_freq": 50,
-    "save_checkpoint": true,
+    "save_checkpoint": false,
     "save_freq": 10,
     "wandb": {
         "enable": false,
@@ -16,7 +16,7 @@
     },
     "dataset": {
         "repo_id": "spirosperos/grid-position-prediction",
-        "root": "/home/nikola/lerobot_spes/recording_grid_position_lerobot_004",
+        "root": "/home/nikola/lerobot_spes/recording_grid_position_lerobot",
         "revision": null,
         "use_imagenet_stats": false
     },
@@ -26,7 +26,17 @@
         "repo_id": "spirosperos/grid-position-policy",
         "normalization_mapping": {
             "VISUAL": "MEAN_STD",
-            "ACTION": "MIN_MAX"
+            "ACTION": "IDENTITY"
+        },
+        "dataset_stats": {
+            "observation.image": {
+                "mean": [0.485, 0.456, 0.406],
+                "std": [0.229, 0.224, 0.225]
+            },
+            "action": {
+                "min": [-1.0, -1.0],
+                "max": [1.0, 1.0]
+            }
         },
         "input_features": {
             "observation.image": {
@@ -59,9 +69,15 @@
         "temperature_init": 0.01,
         "discount": 0.97,
         "critic_target_update_weight": 0.005,
-        "policy_update_freq": 1,
+        "policy_update_freq": 100,
         "utd_ratio": 2,
         "grad_clip_norm": 10.0,
+        "policy_kwargs": {
+            "std_max": 5.0,
+            "std_min": 1e-05,
+            "init_final": 0.05,
+            "use_tanh_squash": true
+        },
         "offline_buffer_capacity": 1000,
         "online_buffer_capacity": 10000,
         "online_steps": 1000000,
@@ -70,7 +86,7 @@
         "actor_learner_config": {
             "learner_host": "127.0.0.1",
             "learner_port": 50053,
-            "policy_parameters_push_frequency": 1,
+            "policy_parameters_push_frequency": 0,
             "queue_get_timeout": 2
         },
         "push_to_hub": true,
@@ -81,8 +97,8 @@
     "env": {
         "type": "gym_manipulator",
         "task": "GridPositionPrediction-v0",
-    "mode": "auto_supervision",
-        "fps": 10,
+        "mode": "auto_supervision",
+        "fps": 100,
         "device": "cuda",
         "features": {
             "observation.image": {
@@ -104,5 +120,3 @@
         }
     }
 }
-
-
diff --git a/src/lerobot/policies/sac/modeling_sac.py b/src/lerobot/policies/sac/modeling_sac.py
index 878f3cdd85..71b2a0bf8c 100644
--- a/src/lerobot/policies/sac/modeling_sac.py
+++ b/src/lerobot/policies/sac/modeling_sac.py
@@ -96,6 +96,7 @@ def select_action(self, batch: dict[str, Tensor]) -> Tensor:
         if self.config.num_discrete_actions is not None:
             discrete_action_value = self.discrete_critic(batch, observations_features)
             discrete_action = torch.argmax(discrete_action_value, dim=-1, keepdim=True)
+            discrete_action = discrete_action.to(actions.dtype if actions.numel() > 0 else torch.float32)
             actions = torch.cat([actions, discrete_action], dim=-1)
 
         return actions
@@ -281,6 +282,8 @@ def compute_loss_critic(
             td_target = rewards + (1 - done) * self.config.discount * min_q
 
         # 3- compute predicted qs
+        if actions.dim() == 1:
+            actions = actions.unsqueeze(-1)
         if self.config.num_discrete_actions is not None:
             # NOTE: We only want to keep the continuous action part
             # In the buffer we have the full action space (continuous + discrete)
@@ -317,6 +320,8 @@ def compute_loss_discrete_critic(
         next_observation_features=None,
         complementary_info=None,
     ):
+        if actions.dim() == 1:
+            actions = actions.unsqueeze(-1)
         # NOTE: We only want to keep the discrete action part
         # In the buffer we have the full action space (continuous + discrete)
         # We need to split them before concatenating them in the critic forward
@@ -865,22 +870,28 @@ def __init__(
             if isinstance(layer, nn.Linear):
                 out_features = layer.out_features
                 break
-        # Mean layer
-        self.mean_layer = nn.Linear(out_features, action_dim)
-        if init_final is not None:
-            nn.init.uniform_(self.mean_layer.weight, -init_final, init_final)
-            nn.init.uniform_(self.mean_layer.bias, -init_final, init_final)
-        else:
-            orthogonal_init()(self.mean_layer.weight)
-
-        # Standard deviation layer or parameter
-        if fixed_std is None:
-            self.std_layer = nn.Linear(out_features, action_dim)
+        if action_dim > 0:
+            # Mean layer
+            self.mean_layer = nn.Linear(out_features, action_dim)
             if init_final is not None:
-                nn.init.uniform_(self.std_layer.weight, -init_final, init_final)
-                nn.init.uniform_(self.std_layer.bias, -init_final, init_final)
+                nn.init.uniform_(self.mean_layer.weight, -init_final, init_final)
+                nn.init.uniform_(self.mean_layer.bias, -init_final, init_final)
+            else:
+                orthogonal_init()(self.mean_layer.weight)
+
+            # Standard deviation layer or parameter
+            if fixed_std is None:
+                self.std_layer = nn.Linear(out_features, action_dim)
+                if init_final is not None:
+                    nn.init.uniform_(self.std_layer.weight, -init_final, init_final)
+                    nn.init.uniform_(self.std_layer.bias, -init_final, init_final)
+                else:
+                    orthogonal_init()(self.std_layer.weight)
             else:
-                orthogonal_init()(self.std_layer.weight)
+                self.std_layer = None
+        else:
+            self.mean_layer = None
+            self.std_layer = None
 
     def forward(
         self,
@@ -893,15 +904,22 @@ def forward(
 
         # Get network outputs
         outputs = self.network(obs_enc)
+
+        if self.action_dim == 0:
+            batch_size = outputs.shape[0]
+            empty = outputs.new_zeros((batch_size, 0))
+            log_probs = outputs.new_zeros((batch_size,), dtype=outputs.dtype, device=outputs.device)
+            return empty, log_probs, empty
+
         means = self.mean_layer(outputs)
 
         # Compute standard deviations
-        if self.fixed_std is None:
+        if self.fixed_std is None and self.std_layer is not None:
             log_std = self.std_layer(outputs)
             std = torch.exp(log_std)  # Match JAX "exp"
             std = torch.clamp(std, self.std_min, self.std_max)  # Match JAX default clip
         else:
-            std = self.fixed_std.expand_as(means)
+            std = self.fixed_std.expand_as(means) if self.fixed_std is not None else torch.ones_like(means)
 
         # Build transformed distribution
         dist = TanhMultivariateNormalDiag(loc=means, scale_diag=std)
diff --git a/src/lerobot/scripts/rl/actor.py b/src/lerobot/scripts/rl/actor.py
index f496d00feb..b8a3381465 100644
--- a/src/lerobot/scripts/rl/actor.py
+++ b/src/lerobot/scripts/rl/actor.py
@@ -52,6 +52,8 @@
 from functools import lru_cache
 from queue import Empty
 
+import numpy as np
+
 import grpc
 import torch
 from torch import nn
@@ -273,6 +275,16 @@ def act_with_policy(
 
     policy_timer = TimerManager("Policy inference", log=False)
 
+    def _action_to_grid_coords(raw_action) -> tuple[int, int, np.ndarray]:
+        arr = raw_action.detach().cpu().numpy() if hasattr(raw_action, "detach") else np.asarray(raw_action)
+        arr = np.array(arr, dtype=np.float32).reshape(-1)
+        if arr.size < 2:
+            return 0, 0, arr
+        scaled = (np.clip(arr[:2], -1.0, 1.0) + 1.0) * 0.5 * 7.0
+        gx = int(np.clip(np.rint(scaled[0]), 0, 7))
+        gy = int(np.clip(np.rint(scaled[1]), 0, 7))
+        return gx, gy, arr
+
     for interaction_step in range(cfg.policy.online_steps):
         start_time = time.perf_counter()
         if shutdown_event.is_set():
@@ -280,6 +292,15 @@ def act_with_policy(
             return
 
         if interaction_step >= cfg.policy.online_step_before_learning:
+            # Ensure we have the freshest policy before inference
+            update_policy_parameters(
+                policy=policy,
+                parameters_queue=parameters_queue,
+                device=device,
+                block=True,
+                timeout=cfg.policy.actor_learner_config.queue_get_timeout,
+            )
+
             # Time policy inference and check if it meets FPS requirement
             with policy_timer:
                 action = policy.select_action(batch=obs)
@@ -297,13 +318,8 @@ def act_with_policy(
         corrected_action_tensor = None
         if is_grid_task and not is_auto_supervision:
             try:
-                import numpy as np
-                # Convert action to CPU numpy and flatten
-                act_np = action.detach().cpu().numpy() if hasattr(action, "detach") else np.array(action)
-                act_np = np.array(act_np).reshape(-1)
-                if act_np.size >= 2:
-                    pred_x = int(np.clip(np.rint(act_np[0]), 0, 7))
-                    pred_y = int(np.clip(np.rint(act_np[1]), 0, 7))
+                pred_x, pred_y = _action_to_grid_coords(action)
+                if pred_x is not None:
                     print(f"[HIL] Predicted grid: [{pred_x}, {pred_y}]  (raw={act_np[:2]})")
                     user = input("[HIL] Press Enter to accept or type corrected x,y (0-7): ").strip()
                     if user:
@@ -319,20 +335,14 @@ def act_with_policy(
             except Exception as e:
                 logging.warning(f"[HIL] Human confirmation skipped due to error: {e}")
 
-        # Auto-supervision path: replace action with ground-truth and record prediction for stats
+        # Auto-supervision path: collect ground-truth for logging without overriding the action
         pred_for_stats = None
         gt_x_pre = None
         gt_y_pre = None
         if is_grid_task and is_auto_supervision:
             try:
-                import numpy as np
-                # Compute predicted indices from current action for stats
-                act_np = action.detach().cpu().numpy() if hasattr(action, "detach") else np.array(action)
-                act_np = np.array(act_np).reshape(-1)
-                if act_np.size >= 2:
-                    pred_x = int(np.clip(np.rint(act_np[0]), 0, 7))
-                    pred_y = int(np.clip(np.rint(act_np[1]), 0, 7))
-                    pred_for_stats = (pred_x, pred_y)
+                pred_x_tmp, pred_y_tmp, _ = _action_to_grid_coords(action)
+                pred_for_stats = (pred_x_tmp, pred_y_tmp)
 
                 # Walk wrappers to find current GT before stepping
                 env_cursor = online_env
@@ -356,32 +366,42 @@ def act_with_policy(
 
                 if gt_x_pre is not None and gt_y_pre is not None:
                     corrected_action_tensor = torch.tensor([gt_x_pre, gt_y_pre], dtype=torch.float32, device=device)
-                    action = corrected_action_tensor
-                    user_corrected = True  # treat as intervention for buffers
             except Exception as e:
                 logging.debug(f"[HIL] Auto-supervision GT fetch failed: {e}")
 
         # Debug logging for action generation
         if interaction_step % 100 == 0:  # Log every 100 steps to avoid spam
-            action_np = action.detach().cpu().numpy() if hasattr(action, "detach") else action
+            _, _, action_np = _action_to_grid_coords(action)
+            action_np = np.atleast_1d(action_np)
             logging.info(f"[ACTOR] Step {interaction_step}: Action = {action_np}")
-            if len(action_np) >= 4:
+            if action_np.size >= 4:
                 logging.info(
                     f"[ACTOR] Gripper action (4th dim): {action_np[3]:.3f} (0=close, 1=stay, 2=open)"
                 )
 
-        next_obs, reward, done, truncated, info = online_env.step(action)
+        action_to_env = action
+        if user_corrected and corrected_action_tensor is not None:
+            # Convert grid indices into normalized action in [-1, 1]
+            idx = corrected_action_tensor.to(torch.float32).flatten()
+            x = (idx[0] / 7.0) * 2.0 - 1.0
+            y = (idx[1] / 7.0) * 2.0 - 1.0
+            action_to_env = torch.tensor([x, y], dtype=torch.float32, device=device)
+
+        next_obs, reward, done, truncated, info = online_env.step(action_to_env)
+        if is_grid_task and isinstance(info, dict):
+            info.setdefault("action.raw", action.detach().cpu().to("cpu"))
+            info.setdefault("action.env", action_to_env.detach().cpu().to("cpu"))
 
         # For grid task, attach complementary info for learner about predictions and corrections
         if is_grid_task:
             try:
-                import numpy as np
                 # Extract GT and computed reward/error from env info when available
                 gt_x = info.get("gt_x")
                 gt_y = info.get("gt_y")
                 pred_x = info.get("pred_x")
                 pred_y = info.get("pred_y")
                 error_l1 = info.get("error.l1")
+                reward_value = info.get("reward", float(reward))
 
                 # Mark whether human intervened at this step
                 info["is_intervention"] = bool(user_corrected)
@@ -418,8 +438,27 @@ def act_with_policy(
                         acc = 100.0 * auto_correct / max(1, auto_steps)
                         mean_l1 = auto_l1_sum / max(1, auto_steps)
                         logging.info(
-                            f"[AUTO] steps={auto_steps} accuracy={acc:.1f}% mean_L1={mean_l1:.3f}"
+                            "==================== [AUTO ACCURACY] ===================="
+                        )
+                        logging.info(
+                            f"[AUTO ACCURACY] steps={auto_steps} accuracy={acc:.1f}% mean_L1={mean_l1:.3f}"
                         )
+                        logging.info(
+                            "==========================================================="
+                        )
+
+                if pred_x is not None and gt_x is not None:
+                    info["pred_index"] = info.get("pred_index", pred_y * 8 + pred_x)
+                    logging.info(
+                        "[GRID] step=%d pred=(%d,%d) gt=(%d,%d) reward=%.1f l1=%.1f",
+                        interaction_step,
+                        int(pred_x),
+                        int(pred_y) if pred_y is not None else -1,
+                        int(gt_x),
+                        int(gt_y) if gt_y is not None else -1,
+                        float(reward_value),
+                        float(info.get("error.l1", 0.0)),
+                    )
             except Exception as e:
                 logging.debug(f"[HIL] Could not attach grid info: {e}")
 
@@ -453,7 +492,12 @@ def act_with_policy(
         if done or truncated:
             logging.info(f"[ACTOR] Global step {interaction_step}: Episode reward: {sum_reward_episode}")
 
-            update_policy_parameters(policy=policy, parameters_queue=parameters_queue, device=device)
+            update_policy_parameters(
+                policy=policy,
+                parameters_queue=parameters_queue,
+                device=device,
+                block=False,
+            )
 
             if len(list_transition_to_send_to_learner) > 0:
                 push_transitions_to_transport_queue(
@@ -747,8 +791,14 @@ def interactions_stream(
 #################################################
 
 
-def update_policy_parameters(policy: SACPolicy, parameters_queue: Queue, device):
-    bytes_state_dict = get_last_item_from_queue(parameters_queue, block=False)
+def update_policy_parameters(
+    policy: SACPolicy,
+    parameters_queue: Queue,
+    device,
+    block: bool = False,
+    timeout: float = 0.1,
+):
+    bytes_state_dict = get_last_item_from_queue(parameters_queue, block=block, timeout=timeout)
     if bytes_state_dict is not None:
         logging.info("[ACTOR] Load new parameters from Learner.")
         state_dicts = bytes_to_state_dict(bytes_state_dict)
diff --git a/src/lerobot/scripts/rl/gym_manipulator.py b/src/lerobot/scripts/rl/gym_manipulator.py
index 9d1b398f38..a9e03d0733 100644
--- a/src/lerobot/scripts/rl/gym_manipulator.py
+++ b/src/lerobot/scripts/rl/gym_manipulator.py
@@ -170,6 +170,46 @@ def __repr__(self) -> str:
         )
 
 
+class TorchDiscrete(gym.spaces.Discrete):
+    """Discrete space that returns PyTorch tensors when sampled."""
+
+    def __init__(self, n: int, torch_dtype: torch.dtype = torch.int64, device: str = "cpu", seed=None):
+        super().__init__(n=n, seed=seed)
+        self.torch_dtype = torch_dtype
+        self.device = device
+
+    def sample(self) -> torch.Tensor:
+        arr = super().sample()
+        return torch.as_tensor(arr, dtype=self.torch_dtype, device=self.device)
+
+    def contains(self, x: torch.Tensor) -> bool:
+        arr = int(x.detach().cpu().item())
+        return super().contains(arr)
+
+    def __repr__(self) -> str:
+        return f"TorchDiscrete(n={self.n}, torch={self.torch_dtype}, device={self.device})"
+
+
+class TorchMultiDiscrete(gym.spaces.MultiDiscrete):
+    """MultiDiscrete space that returns PyTorch tensors when sampled."""
+
+    def __init__(self, nvec, torch_dtype: torch.dtype = torch.int64, device: str = "cpu", seed=None):
+        super().__init__(nvec=nvec, seed=seed)
+        self.torch_dtype = torch_dtype
+        self.device = device
+
+    def sample(self) -> torch.Tensor:
+        arr = super().sample()
+        return torch.as_tensor(arr, dtype=self.torch_dtype, device=self.device)
+
+    def contains(self, x: torch.Tensor) -> bool:
+        arr = x.detach().cpu().numpy().astype(np.int64)
+        return super().contains(arr)
+
+    def __repr__(self) -> str:
+        return f"TorchMultiDiscrete(nvec={self.nvec}, torch={self.torch_dtype}, device={self.device})"
+
+
 class TorchActionWrapper(gym.Wrapper):
     """
     Wrapper that changes the action space to use PyTorch tensors.
@@ -187,15 +227,32 @@ def __init__(self, env: gym.Env, device: str):
             device: The PyTorch device to use for tensor operations.
         """
         super().__init__(env)
-        self.action_space = TorchBox(
-            low=env.action_space.low,
-            high=env.action_space.high,
-            shape=env.action_space.shape,
-            torch_dtype=torch.float32,
-            device=torch.device("cpu"),
-        )
+        self._is_discrete = isinstance(env.action_space, gym.spaces.Discrete)
+        self._is_multi_discrete = isinstance(env.action_space, gym.spaces.MultiDiscrete)
+        if self._is_discrete:
+            self.action_space = TorchDiscrete(
+                env.action_space.n,
+                torch_dtype=torch.int64,
+                device=torch.device("cpu"),
+            )
+        elif self._is_multi_discrete:
+            self.action_space = TorchMultiDiscrete(
+                env.action_space.nvec,
+                torch_dtype=torch.int64,
+                device=torch.device("cpu"),
+            )
+        elif isinstance(env.action_space, gym.spaces.Box):
+            self.action_space = TorchBox(
+                low=env.action_space.low,
+                high=env.action_space.high,
+                shape=env.action_space.shape,
+                torch_dtype=torch.float32,
+                device=torch.device("cpu"),
+            )
+        else:
+            raise TypeError(f"TorchActionWrapper does not support action space: {env.action_space}")
 
-    def step(self, action: torch.Tensor):
+    def step(self, action):
         """
         Step the environment with a PyTorch tensor action.
 
@@ -208,9 +265,20 @@ def step(self, action: torch.Tensor):
         Returns:
             Tuple of (observation, reward, terminated, truncated, info).
         """
-        if action.dim() == 2:
-            action = action.squeeze(0)
-        action = action.detach().cpu().numpy()
+        if torch.is_tensor(action):
+            action = action.detach().cpu()
+        if self._is_discrete:
+            action = int(action.item()) if torch.is_tensor(action) else int(action)
+        elif self._is_multi_discrete:
+            if torch.is_tensor(action):
+                arr = action.round().to(torch.int64).cpu().numpy()
+            else:
+                arr = np.asarray(action, dtype=np.int64)
+            action = np.asarray(arr, dtype=np.int64)
+        else:
+            if action.dim() == 2:
+                action = action.squeeze(0)
+            action = action.numpy()
         return self.env.step(action)
 
 
diff --git a/src/lerobot/scripts/rl/learner.py b/src/lerobot/scripts/rl/learner.py
index 59c65c2c81..f0dfb0eaaf 100644
--- a/src/lerobot/scripts/rl/learner.py
+++ b/src/lerobot/scripts/rl/learner.py
@@ -519,6 +519,8 @@ def add_actor_information_and_train(
             "next_observation_feature": next_observation_features,
         }
 
+        performed_optimization = False
+
         critic_output = policy.forward(forward_batch, model="critic")
 
         loss_critic = critic_output["loss_critic"]
@@ -528,6 +530,7 @@ def add_actor_information_and_train(
             parameters=policy.critic_ensemble.parameters(), max_norm=clip_grad_norm_value
         ).item()
         optimizers["critic"].step()
+        performed_optimization = True
 
         # Initialize training info dictionary
         training_infos = {
@@ -585,13 +588,16 @@ def add_actor_information_and_train(
                 # Update temperature
                 policy.update_temperature()
 
+        # Update target networks (main and discrete)
+        policy.update_target_networks()
+
         # Push policy to actors if needed
-        if time.time() - last_time_policy_pushed > policy_parameters_push_frequency:
+        if performed_optimization:
+            push_actor_policy_to_queue(parameters_queue=parameters_queue, policy=policy)
+            last_time_policy_pushed = time.time()
+        elif time.time() - last_time_policy_pushed >= policy_parameters_push_frequency:
             push_actor_policy_to_queue(parameters_queue=parameters_queue, policy=policy)
             last_time_policy_pushed = time.time()
-
-        # Update target networks (main and discrete)
-        policy.update_target_networks()
 
         # Log training metrics at specified intervals
         if optimization_step % log_freq == 0:
diff --git a/src/lerobot/utils/buffer.py b/src/lerobot/utils/buffer.py
index d9ffa899cf..df11669f16 100644
--- a/src/lerobot/utils/buffer.py
+++ b/src/lerobot/utils/buffer.py
@@ -121,11 +121,11 @@ def __init__(
         # If no state_keys provided, default to an empty list
         self.state_keys = state_keys if state_keys is not None else []
 
-        self.image_augmentation_function = image_augmentation_function
-
         if image_augmentation_function is None:
             base_function = functools.partial(random_shift, pad=4)
-            self.image_augmentation_function = torch.compile(base_function)
+            self.image_augmentation_function = base_function
+        else:
+            self.image_augmentation_function = image_augmentation_function
         self.use_drq = use_drq
 
     def _initialize_storage(

From 13e43b6a49be21ced3f12dd6b06be28573a2aa94 Mon Sep 17 00:00:00 2001
From: spirosperos <gicko3@gmail.com>
Date: Thu, 30 Oct 2025 18:16:38 +0100
Subject: [PATCH 8/9] converges

---
 .../grid_hil_serl/train_grid_position.json    | 12 +++++-----
 src/lerobot/scripts/rl/actor.py               | 23 ++++++++-----------
 2 files changed, 16 insertions(+), 19 deletions(-)

diff --git a/examples/grid_hil_serl/train_grid_position.json b/examples/grid_hil_serl/train_grid_position.json
index ec6a93874e..43dd718ee7 100644
--- a/examples/grid_hil_serl/train_grid_position.json
+++ b/examples/grid_hil_serl/train_grid_position.json
@@ -4,7 +4,7 @@
     "resume": false,
     "seed": 1000,
     "num_workers": 4,
-    "batch_size": 256,
+    "batch_size": 32,
     "steps": 100000,
     "log_freq": 50,
     "save_checkpoint": false,
@@ -69,7 +69,7 @@
         "temperature_init": 0.01,
         "discount": 0.97,
         "critic_target_update_weight": 0.005,
-        "policy_update_freq": 100,
+        "policy_update_freq": 1,
         "utd_ratio": 2,
         "grad_clip_norm": 10.0,
         "policy_kwargs": {
@@ -81,15 +81,15 @@
         "offline_buffer_capacity": 1000,
         "online_buffer_capacity": 10000,
         "online_steps": 1000000,
-        "online_step_before_learning": 100,
+        "online_step_before_learning": 32,
         "async_prefetch": false,
         "actor_learner_config": {
             "learner_host": "127.0.0.1",
             "learner_port": 50053,
-            "policy_parameters_push_frequency": 0,
+            "policy_parameters_push_frequency": 10,
             "queue_get_timeout": 2
         },
-        "push_to_hub": true,
+        "push_to_hub": false,
         "license": null,
         "private": null,
         "tags": null
@@ -98,7 +98,7 @@
         "type": "gym_manipulator",
         "task": "GridPositionPrediction-v0",
         "mode": "auto_supervision",
-        "fps": 100,
+        "fps": 10,
         "device": "cuda",
         "features": {
             "observation.image": {
diff --git a/src/lerobot/scripts/rl/actor.py b/src/lerobot/scripts/rl/actor.py
index b8a3381465..67cc947c09 100644
--- a/src/lerobot/scripts/rl/actor.py
+++ b/src/lerobot/scripts/rl/actor.py
@@ -49,6 +49,7 @@
 import logging
 import os
 import time
+from collections import deque
 from functools import lru_cache
 from queue import Empty
 
@@ -272,6 +273,7 @@ def act_with_policy(
     auto_steps = 0
     auto_correct = 0
     auto_l1_sum = 0.0
+    recent_episode_results: deque[int] = deque(maxlen=50)
 
     policy_timer = TimerManager("Policy inference", log=False)
 
@@ -433,19 +435,6 @@ def _action_to_grid_coords(raw_action) -> tuple[int, int, np.ndarray]:
                     if dx == 0 and dy == 0:
                         auto_correct += 1
 
-                    # Periodically log convergence stats
-                    if auto_steps % 50 == 0:
-                        acc = 100.0 * auto_correct / max(1, auto_steps)
-                        mean_l1 = auto_l1_sum / max(1, auto_steps)
-                        logging.info(
-                            "==================== [AUTO ACCURACY] ===================="
-                        )
-                        logging.info(
-                            f"[AUTO ACCURACY] steps={auto_steps} accuracy={acc:.1f}% mean_L1={mean_l1:.3f}"
-                        )
-                        logging.info(
-                            "==========================================================="
-                        )
 
                 if pred_x is not None and gt_x is not None:
                     info["pred_index"] = info.get("pred_index", pred_y * 8 + pred_x)
@@ -492,6 +481,14 @@ def _action_to_grid_coords(raw_action) -> tuple[int, int, np.ndarray]:
         if done or truncated:
             logging.info(f"[ACTOR] Global step {interaction_step}: Episode reward: {sum_reward_episode}")
 
+            # Update rolling 50-episode accuracy statistics
+            episode_success = 1 if sum_reward_episode > 0 else 0
+            recent_episode_results.append(episode_success)
+            rolling_acc = 100.0 * sum(recent_episode_results) / len(recent_episode_results)
+            logging.info(
+                f"[AUTO ACCURACY 50] episodes={len(recent_episode_results)} accuracy={rolling_acc:.1f}%"
+            )
+
             update_policy_parameters(
                 policy=policy,
                 parameters_queue=parameters_queue,

From 33ff51fb37c0277998b39b3ac776b42b98f09f6d Mon Sep 17 00:00:00 2001
From: spirosperos <gicko3@gmail.com>
Date: Fri, 31 Oct 2025 15:32:23 +0100
Subject: [PATCH 9/9] documentation

---
 examples/grid_hil_serl/README.md              | 108 +-
 ...il_serl_training_guide_from_the_website.md | 926 ++++++++++++++++++
 .../media/accuracy_episode_00160.png          | Bin 0 -> 27546 bytes
 .../grid_hil_serl/media/coordinate_system.png | Bin 0 -> 22858 bytes
 examples/grid_hil_serl/{ => media}/img.jpg    | Bin
 .../grid_hil_serl/train_grid_position.json    |   2 +-
 img.jpg                                       | Bin 0 -> 3300 bytes
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diff --git a/examples/grid_hil_serl/README.md b/examples/grid_hil_serl/README.md
index 87bb2510aa..db9c00cfc8 100644
--- a/examples/grid_hil_serl/README.md
+++ b/examples/grid_hil_serl/README.md
@@ -10,6 +10,11 @@ The environment consists of:
 - Top-left origin coordinate system (0,0) = top-left corner
 - Automatic high-definition image capture (1920x1080)
 
+
+## Environment preview
+
+![Coordinate system](media/coordinate_system.png)
+
 ## Files
 
 - `grid_scene.xml` - Mujoco scene definition with 8x8 grid
@@ -18,66 +23,48 @@ The environment consists of:
 
 ## Usage
 
-### 1. Test the Environment
+### Install LeRobot (one time)
+Follow the main repository instructions (from repo root):
 ```bash
-cd examples/grid_hil_serl
-python grid_cube_randomizer.py
+pip install -e ".[hilserl]"
 ```
 
-### 2. Record Demonstrations
+### 2. Record Demonstrations (Optional - this repo already contains a recorded dataset)
 ```bash
-# Record training data automatically (single step episodes)
-python examples/grid_hil_serl/record_grid_demo.py --config_path examples/grid_hil_serl/record_grid_position_lerobot.json
-
-# Or use LeRobot's recording script (standard dataset format)
-python -m lerobot.scripts.rl.gym_manipulator --config_path record_grid_position_lerobot.json
+# From the repository root
+python examples/grid_hil_serl/record_grid_demo.py \
+  --config_path examples/grid_hil_serl/record_grid_position_lerobot.json
 ```
 
 ### 3. Train HIL-SERL Policy
 ```bash
 # Terminal 1: Start learner
-python -m lerobot.scripts.rl.learner --config_path train_grid_position.json
+cd src
+python -m lerobot.scripts.rl.learner --config_path ../examples/grid_hil_serl/train_grid_position.json
 
 # Terminal 2: Start actor (with human feedback)
-python -m lerobot.scripts.rl.actor --config_path train_grid_position.json
+cd src
+python -m lerobot.scripts.rl.actor --config_path ../examples/grid_hil_serl/train_grid_position.json
 ```
 
-### Command Line Options
-```bash
-# Environment testing
-python grid_cube_randomizer.py --interval 2.0 --no-save
-
-# Recording options (edit the JSON config to change episodes/root)
-python examples/grid_hil_serl/record_grid_demo.py --config_path examples/grid_hil_serl/record_grid_position_lerobot.json
-```
+The actor prints a rolling accuracy over the last 50 episodes and saves a plot every
+10 episodes to `outputs/grid_position/accuracy_plots/` so you can monitor training
+progress without attaching a debugger.
 
 ## Features
 
-### Grid System
-- **8x8 grid**: 64 total cells
-- **Coordinate system**: (0,0) = top-left, (7,7) = bottom-right
-- **Cell centers**: Cube spawns at precise grid cell centers
-- **High-definition**: 32x32 texture with 256x256 resolution
-
-### Cube Positioning
-- **Random placement**: Uniform random distribution across all 64 cells
-- **Precise positioning**: Cube lands exactly at grid cell centers
-- **Physics compliant**: Proper velocity reset for instant teleportation
-- **Visual feedback**: Clear console output of cell coordinates
+This example gives you a fast, single‑step prediction task: every episode the
+cube appears in one of the 64 cells of an 8×8 grid and the policy must guess the
+cell from a high‑definition overhead image. Episodes are only one step long, so
+each prediction immediately becomes a labelled training example. Along the way the
+actor logs a rolling 50‑episode success rate and stores matplotlib accuracy plots,
+making it easy to gauge progress without additional tooling. Because the cubes are
+placed exactly at grid centres and the camera is fixed, the setup stays perfectly
+repeatable while still exercising the end‑to‑end vision→prediction loop.
 
-### Image Capture
-- **HD resolution**: 1920x1080 (Full HD)
-- **Automatic saving**: Images saved after each cube repositioning
-- **Professional quality**: Suitable for datasets and documentation
-- **Top-down view**: Camera positioned for complete grid visibility
+![Accuracy curve](media/accuracy_episode_00160.png)
 
-## Coordinate System
-
-```
-(0,0) → (-3.5, 3.5)   (7,0) → (3.5, 3.5)
-      ↘                     ↙
-(0,7) → (-3.5, -3.5)  (7,7) → (3.5, -3.5)
-```
+Accuracy typically climbs toward ~95 % after roughly 140 prediction episodes.
 
 ## HIL-SERL Workflow
 
@@ -109,45 +96,10 @@ The environment integrates with LeRobot's HIL-SERL framework through:
 3. **Config Files**: `record_grid_position.json` and `train_grid_position.json`
 4. **Dataset Collection**: Automated recording of image-position pairs
 
-## Technical Details
-
-- **Physics**: Mujoco physics engine with proper joint control
-- **Rendering**: Offscreen rendering with PIL for image saving
-- **Randomization**: NumPy-based random number generation
-- **Threading**: Proper event handling for viewer controls
-
-## Example Output
-
-```
-Loading scene: grid_scene.xml
-
-==================================================
-8x8 Grid Cube Randomizer
-==================================================
-This scene shows an 8x8 grid with a randomly positioned cube.
-Cube position randomizes every 3.0 seconds.
-
-Controls:
-  R: Manually randomize cube position
-  S: Save current camera view to img.jpg
-  Space: Pause/unpause
-  Esc: Exit
-  Camera: Mouse controls for rotation/zoom
-==================================================
-Spawning cube at grid cell (3, 5) -> position (-0.5, -1.5)
-Camera view saved to: img.jpg
-Spawning cube at grid cell (1, 2) -> position (-2.5, 1.5)
-Camera view saved to: img.jpg
-```
-
 ## Dependencies
 
 - mujoco
 - numpy
 - PIL (Pillow)
 - gymnasium (optional, for integration)
-
-## Related Examples
-
-- `hil_serl_simulation_training/` - Full HIL-SERL training examples
-- `lekiwi/` - Real robot integration examples
+- matplotlib
diff --git a/examples/grid_hil_serl/hil_serl_training_guide_from_the_website.md b/examples/grid_hil_serl/hil_serl_training_guide_from_the_website.md
new file mode 100644
index 0000000000..0e8cf168be
--- /dev/null
+++ b/examples/grid_hil_serl/hil_serl_training_guide_from_the_website.md
@@ -0,0 +1,926 @@
+# HIL-SERL Real Robot Training Workflow Guide
+
+In this tutorial you will go through the full Human-in-the-Loop Sample-Efficient Reinforcement Learning (HIL-SERL) workflow using LeRobot. You will master training a policy with RL on a real robot in just a few hours.
+
+HIL-SERL is a sample-efficient reinforcement learning algorithm that combines human demonstrations with online learning and human interventions. The approach starts from a small set of human demonstrations, uses them to train a reward classifier, and then employs an actor-learner architecture where humans can intervene during policy execution to guide exploration and correct unsafe behaviors. In this tutorial, you'll use a gamepad to provide interventions and control the robot during the learning process.
+
+It combines three key ingredients:
+
+1. **Offline demonstrations & reward classifier:** a handful of human-teleop episodes plus a vision-based success detector give the policy a shaped starting point.
+
+2. **On-robot actor / learner loop with human interventions:** a distributed Soft Actor Critic (SAC) learner updates the policy while an actor explores on the physical robot; the human can jump in at any time to correct dangerous or unproductive behaviour.
+
+3. **Safety & efficiency tools:** joint/end-effector (EE) bounds, crop region of interest (ROI) preprocessing and WandB monitoring keep the data useful and the hardware safe.
+
+Together these elements let HIL-SERL reach near-perfect task success and faster cycle times than imitation-only baselines.
+
+<p align="center">
+  <img
+    src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/lerobot/hilserl-main-figure.png"
+    alt="HIL-SERL workflow"
+    title="HIL-SERL workflow"
+    width="100%"
+  ></img>
+</p>
+
+<p align="center">
+  <i>HIL-SERL workflow, Luo et al. 2024</i>
+</p>
+
+This guide provides step-by-step instructions for training a robot policy using LeRobot's HilSerl implementation to train on a real robot.
+
+## What do I need?
+
+- A gamepad (recommended) or keyboard to control the robot
+- A Nvidia GPU
+- A real robot with a follower and leader arm (optional if you use the keyboard or the gamepad)
+- A URDF file for the robot for the kinematics package (check `lerobot/model/kinematics.py`)
+
+## What kind of tasks can I train?
+
+One can use HIL-SERL to train on a variety of manipulation tasks. Some recommendations:
+
+- Start with a simple task to understand how the system works.
+  - Push cube to a goal region
+  - Pick and lift cube with the gripper
+- Avoid extremely long horizon tasks. Focus on tasks that can be completed in 5-10 seconds.
+- Once you have a good idea of how the system works, you can try more complex tasks and longer horizons.
+  - Pick and place cube
+  - Bimanual tasks to pick objects with two arms
+  - Hand-over tasks to transfer objects from one arm to another
+  - Go crazy!
+
+## Install LeRobot with HIL-SERL
+
+To install LeRobot with HIL-SERL, you need to install the `hilserl` extra.
+
+```bash
+pip install -e ".[hilserl]"
+```
+
+## Real Robot Training Workflow
+
+### Understanding Configuration
+
+The training process begins with proper configuration for the HILSerl environment. The main configuration class is `GymManipulatorConfig` in `lerobot/rl/gym_manipulator.py`, which contains nested `HILSerlRobotEnvConfig` and `DatasetConfig`. The configuration is organized into focused, nested sub-configs:
+
+<!-- prettier-ignore-start -->
+```python
+class GymManipulatorConfig:
+    env: HILSerlRobotEnvConfig    # Environment configuration (nested)
+    dataset: DatasetConfig    # Dataset recording/replay configuration (nested)
+    mode: str | None = None    # "record", "replay", or None (for training)
+    device: str = "cpu"    # Compute device
+
+class HILSerlRobotEnvConfig(EnvConfig):
+    robot: RobotConfig | None = None    # Main robot agent (defined in `lerobot/robots`)
+    teleop: TeleoperatorConfig | None = None    # Teleoperator agent, e.g., gamepad or leader arm
+    processor: HILSerlProcessorConfig    # Processing pipeline configuration (nested)
+    name: str = "real_robot"    # Environment name
+    task: str | None = None    # Task identifier
+    fps: int = 10    # Control frequency
+
+# Nested processor configuration
+class HILSerlProcessorConfig:
+    control_mode: str = "gamepad"    # Control mode
+    observation: ObservationConfig | None = None    # Observation processing settings
+    image_preprocessing: ImagePreprocessingConfig | None = None    # Image crop/resize settings
+    gripper: GripperConfig | None = None    # Gripper control and penalty settings
+    reset: ResetConfig | None = None    # Environment reset and timing settings
+    inverse_kinematics: InverseKinematicsConfig | None = None    # IK processing settings
+    reward_classifier: RewardClassifierConfig | None = None    # Reward classifier settings
+    max_gripper_pos: float | None = 100.0    # Maximum gripper position
+
+# Sub-configuration classes
+class ObservationConfig:
+    add_joint_velocity_to_observation: bool = False    # Add joint velocities to state
+    add_current_to_observation: bool = False    # Add motor currents to state
+    display_cameras: bool = False    # Display camera feeds during execution
+
+class ImagePreprocessingConfig:
+    crop_params_dict: dict[str, tuple[int, int, int, int]] | None = None    # Image cropping parameters
+    resize_size: tuple[int, int] | None = None    # Target image size
+
+class GripperConfig:
+    use_gripper: bool = True    # Enable gripper control
+    gripper_penalty: float = 0.0    # Penalty for inappropriate gripper usage
+
+class ResetConfig:
+    fixed_reset_joint_positions: Any | None = None    # Joint positions for reset
+    reset_time_s: float = 5.0    # Time to wait during reset
+    control_time_s: float = 20.0    # Maximum episode duration
+    terminate_on_success: bool = True    # Whether to terminate episodes on success detection
+
+class InverseKinematicsConfig:
+    urdf_path: str | None = None    # Path to robot URDF file
+    target_frame_name: str | None = None    # End-effector frame name
+    end_effector_bounds: dict[str, list[float]] | None = None    # EE workspace bounds
+    end_effector_step_sizes: dict[str, float] | None = None    # EE step sizes per axis
+
+class RewardClassifierConfig:
+    pretrained_path: str | None = None    # Path to pretrained reward classifier
+    success_threshold: float = 0.5    # Success detection threshold
+    success_reward: float = 1.0    # Reward value for successful episodes
+
+# Dataset configuration
+class DatasetConfig:
+    repo_id: str    # LeRobot dataset repository ID
+    task: str    # Task identifier
+    root: str | None = None    # Local dataset root directory
+    num_episodes_to_record: int = 5    # Number of episodes for recording
+    replay_episode: int | None = None    # Episode index for replay
+    push_to_hub: bool = False    # Whether to push datasets to Hub
+```
+<!-- prettier-ignore-end -->
+
+### Processor Pipeline Architecture
+
+HIL-SERL uses a modular processor pipeline architecture that processes robot observations and actions through a series of composable steps. The pipeline is divided into two main components:
+
+#### Environment Processor Pipeline
+
+The environment processor (`env_processor`) handles incoming observations and environment state:
+
+1. **VanillaObservationProcessorStep**: Converts raw robot observations into standardized format
+2. **JointVelocityProcessorStep** (optional): Adds joint velocity information to observations
+3. **MotorCurrentProcessorStep** (optional): Adds motor current readings to observations
+4. **ForwardKinematicsJointsToEE** (optional): Computes end-effector pose from joint positions
+5. **ImageCropResizeProcessorStep** (optional): Crops and resizes camera images
+6. **TimeLimitProcessorStep** (optional): Enforces episode time limits
+7. **GripperPenaltyProcessorStep** (optional): Applies penalties for inappropriate gripper usage
+8. **RewardClassifierProcessorStep** (optional): Automated reward detection using vision models
+9. **AddBatchDimensionProcessorStep**: Converts data to batch format for neural network processing
+10. **DeviceProcessorStep**: Moves data to the specified compute device (CPU/GPU)
+
+#### Action Processor Pipeline
+
+The action processor (`action_processor`) handles outgoing actions and human interventions:
+
+1. **AddTeleopActionAsComplimentaryDataStep**: Captures teleoperator actions for logging
+2. **AddTeleopEventsAsInfoStep**: Records intervention events and episode control signals
+3. **InterventionActionProcessorStep**: Handles human interventions and episode termination
+4. **Inverse Kinematics Pipeline** (when enabled):
+   - **MapDeltaActionToRobotActionStep**: Converts delta actions to robot action format
+   - **EEReferenceAndDelta**: Computes end-effector reference and delta movements
+   - **EEBoundsAndSafety**: Enforces workspace safety bounds
+   - **InverseKinematicsEEToJoints**: Converts end-effector actions to joint targets
+   - **GripperVelocityToJoint**: Handles gripper control commands
+
+#### Configuration Examples
+
+**Basic Observation Processing**:
+
+```json
+{
+  "env": {
+    "processor": {
+      "observation": {
+        "add_joint_velocity_to_observation": true,
+        "add_current_to_observation": false,
+        "display_cameras": false
+      }
+    }
+  }
+}
+```
+
+**Image Processing**:
+
+```json
+{
+  "env": {
+    "processor": {
+      "image_preprocessing": {
+        "crop_params_dict": {
+          "observation.images.front": [180, 250, 120, 150],
+          "observation.images.side": [180, 207, 180, 200]
+        },
+        "resize_size": [128, 128]
+      }
+    }
+  }
+}
+```
+
+**Inverse Kinematics Setup**:
+
+```json
+{
+  "env": {
+    "processor": {
+      "inverse_kinematics": {
+        "urdf_path": "path/to/robot.urdf",
+        "target_frame_name": "end_effector",
+        "end_effector_bounds": {
+          "min": [0.16, -0.08, 0.03],
+          "max": [0.24, 0.2, 0.1]
+        },
+        "end_effector_step_sizes": {
+          "x": 0.02,
+          "y": 0.02,
+          "z": 0.02
+        }
+      }
+    }
+  }
+}
+```
+
+### Advanced Observation Processing
+
+The HIL-SERL framework supports additional observation processing features that can improve policy learning:
+
+#### Joint Velocity Processing
+
+Enable joint velocity estimation to provide the policy with motion information:
+
+```json
+{
+  "env": {
+    "processor": {
+      "observation": {
+        "add_joint_velocity_to_observation": true
+      }
+    }
+  }
+}
+```
+
+This processor:
+
+- Estimates joint velocities using finite differences between consecutive joint position readings
+- Adds velocity information to the observation state vector
+- Useful for policies that need motion awareness for dynamic tasks
+
+#### Motor Current Processing
+
+Monitor motor currents to detect contact forces and load conditions:
+
+```json
+{
+  "env": {
+    "processor": {
+      "observation": {
+        "add_current_to_observation": true
+      }
+    }
+  }
+}
+```
+
+This processor:
+
+- Reads motor current values from the robot's control system
+- Adds current measurements to the observation state vector
+- Helps detect contact events, object weights, and mechanical resistance
+- Useful for contact-rich manipulation tasks
+
+#### Combined Observation Processing
+
+You can enable multiple observation processing features simultaneously:
+
+```json
+{
+  "env": {
+    "processor": {
+      "observation": {
+        "add_joint_velocity_to_observation": true,
+        "add_current_to_observation": true,
+        "display_cameras": false
+      }
+    }
+  }
+}
+```
+
+**Note**: Enabling additional observation features increases the state space dimensionality, which may require adjusting your policy network architecture and potentially collecting more training data.
+
+### Finding Robot Workspace Bounds
+
+Before collecting demonstrations, you need to determine the appropriate operational bounds for your robot.
+
+This helps simplify the problem of learning on the real robot in two ways: 1) by limiting the robot's operational space to a specific region that solves the task and avoids unnecessary or unsafe exploration, and 2) by allowing training in end-effector space rather than joint space. Empirically, learning in joint space for reinforcement learning in manipulation is often a harder problem - some tasks are nearly impossible to learn in joint space but become learnable when the action space is transformed to end-effector coordinates.
+
+**Using lerobot-find-joint-limits**
+
+This script helps you find the safe operational bounds for your robot's end-effector. Given that you have a follower and leader arm, you can use the script to find the bounds for the follower arm that will be applied during training.
+Bounding the action space will reduce the redundant exploration of the agent and guarantees safety.
+
+```bash
+lerobot-find-joint-limits \
+  --robot.type=so100_follower \
+  --robot.port=/dev/tty.usbmodem58760431541 \
+  --robot.id=black \
+  --teleop.type=so100_leader \
+  --teleop.port=/dev/tty.usbmodem58760431551 \
+  --teleop.id=blue
+```
+
+**Workflow**
+
+1. Run the script and move the robot through the space that solves the task
+2. The script will record the minimum and maximum end-effector positions and the joint angles and prints them to the console, for example:
+   ```
+   Max ee position [0.2417 0.2012 0.1027]
+   Min ee position [0.1663 -0.0823 0.0336]
+   Max joint positions [-20.0, -20.0, -20.0, -20.0, -20.0, -20.0]
+   Min joint positions [50.0, 50.0, 50.0, 50.0, 50.0, 50.0]
+   ```
+3. Use these values in the configuration of your teleoperation device (TeleoperatorConfig) under the `end_effector_bounds` field
+
+**Example Configuration**
+
+```json
+"end_effector_bounds": {
+    "max": [0.24, 0.20, 0.10],
+    "min": [0.16, -0.08, 0.03]
+}
+```
+
+### Collecting Demonstrations
+
+With the bounds defined, you can safely collect demonstrations for training. Training RL with off-policy algorithm allows us to use offline datasets collected in order to improve the efficiency of the learning process.
+
+**Setting Up Record Mode**
+
+Create a configuration file for recording demonstrations (or edit an existing one like [env_config.json](https://huggingface.co/datasets/lerobot/config_examples/resolve/main/rl/env_config.json)):
+
+1. Set `mode` to `"record"` at the root level
+2. Specify a unique `repo_id` for your dataset in the `dataset` section (e.g., "username/task_name")
+3. Set `num_episodes_to_record` in the `dataset` section to the number of demonstrations you want to collect
+4. Set `env.processor.image_preprocessing.crop_params_dict` to `{}` initially (we'll determine crops later)
+5. Configure `env.robot`, `env.teleop`, and other hardware settings in the `env` section
+
+Example configuration section:
+
+```json
+{
+  "env": {
+    "type": "gym_manipulator",
+    "name": "real_robot",
+    "fps": 10,
+    "processor": {
+      "control_mode": "gamepad",
+      "observation": {
+        "display_cameras": false
+      },
+      "image_preprocessing": {
+        "crop_params_dict": {},
+        "resize_size": [128, 128]
+      },
+      "gripper": {
+        "use_gripper": true,
+        "gripper_penalty": 0.0
+      },
+      "reset": {
+        "reset_time_s": 5.0,
+        "control_time_s": 20.0
+      }
+    },
+    "robot": {
+      // ... robot configuration ...
+    },
+    "teleop": {
+      // ... teleoperator configuration ...
+    }
+  },
+  "dataset": {
+    "repo_id": "username/pick_lift_cube",
+    "root": null,
+    "task": "pick_and_lift",
+    "num_episodes_to_record": 15,
+    "replay_episode": 0,
+    "push_to_hub": true
+  },
+  "mode": "record",
+  "device": "cpu"
+}
+```
+
+### Using a Teleoperation Device
+
+Along with your robot, you will need a teleoperation device to control it in order to collect datasets of your task and perform interventions during the online training.
+We support using a gamepad or a keyboard or the leader arm of the robot.
+
+HIL-Serl learns actions in the end-effector space of the robot. Therefore, the teleoperation will control the end-effector's x,y,z displacements.
+
+For that we need to define a version of the robot that takes actions in the end-effector space. Check the robot class `SO100FollowerEndEffector` and its configuration `SO100FollowerEndEffectorConfig` for the default parameters related to the end-effector space.
+
+<!-- prettier-ignore-start -->
+```python
+class SO100FollowerEndEffectorConfig(SO100FollowerConfig):
+    """Configuration for the SO100FollowerEndEffector robot."""
+
+    # Default bounds for the end-effector position (in meters)
+    end_effector_bounds: dict[str, list[float]] = field( # bounds for the end-effector in x,y,z direction
+        default_factory=lambda: {
+            "min": [-1.0, -1.0, -1.0],  # min x, y, z
+            "max": [1.0, 1.0, 1.0],  # max x, y, z
+        }
+    )
+
+    max_gripper_pos: float = 50 # maximum gripper position that the gripper will be open at
+
+    end_effector_step_sizes: dict[str, float] = field( # maximum step size for the end-effector in x,y,z direction
+        default_factory=lambda: {
+            "x": 0.02,
+            "y": 0.02,
+            "z": 0.02,
+        }
+    )
+```
+<!-- prettier-ignore-end -->
+
+The `Teleoperator` defines the teleoperation device. You can check the list of available teleoperators in `lerobot/teleoperators`.
+
+**Setting up the Gamepad**
+
+The gamepad provides a very convenient way to control the robot and the episode state.
+
+To setup the gamepad, you need to set the `control_mode` to `"gamepad"` and define the `teleop` section in the configuration file.
+
+```json
+{
+  "env": {
+    "teleop": {
+      "type": "gamepad",
+      "use_gripper": true
+    },
+    "processor": {
+      "control_mode": "gamepad",
+      "gripper": {
+        "use_gripper": true
+      }
+    }
+  }
+}
+```
+
+<p align="center">
+  <img
+    src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/lerobot/gamepad_guide.jpg?raw=true"
+    alt="Figure shows the control mappings on a Logitech gamepad."
+    title="Gamepad Control Mapping"
+    width="100%"
+  ></img>
+</p>
+<p align="center">
+  <i>Gamepad button mapping for robot control and episode management</i>
+</p>
+
+**Setting up the SO101 leader**
+
+The SO101 leader arm has reduced gears that allows it to move and track the follower arm during exploration. Therefore, taking over is much smoother than the gearless SO100.
+
+To setup the SO101 leader, you need to set the `control_mode` to `"leader"` and define the `teleop` section in the configuration file.
+
+```json
+{
+  "env": {
+    "teleop": {
+      "type": "so101_leader",
+      "port": "/dev/tty.usbmodem585A0077921",
+      "use_degrees": true
+    },
+    "processor": {
+      "control_mode": "leader",
+      "gripper": {
+        "use_gripper": true
+      }
+    }
+  }
+}
+```
+
+In order to annotate the success/failure of the episode, **you will need** to use a keyboard to press `s` for success, `esc` for failure.
+During the online training, press `space` to take over the policy and `space` again to give the control back to the policy.
+
+<details>
+<summary><strong>Video: SO101 leader teleoperation</strong></summary>
+
+<div class="video-container">
+  <video controls width="600">
+    <source
+      src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/lerobot/so101_leader_tutorial.mp4"
+      type="video/mp4"
+    />
+  </video>
+</div>
+
+<p align="center"><i>SO101 leader teleoperation example, the leader tracks the follower, press `space` to intervene</i></p>
+</details>
+
+**Recording Demonstrations**
+
+Start the recording process, an example of the config file can be found [here](https://huggingface.co/datasets/aractingi/lerobot-example-config-files/blob/main/env_config_so100.json):
+
+```bash
+python -m lerobot.rl.gym_manipulator --config_path src/lerobot/configs/env_config_so100.json
+```
+
+During recording:
+
+1. The robot will reset to the initial position defined in the configuration file `env.processor.reset.fixed_reset_joint_positions`
+2. Complete the task successfully
+3. The episode ends with a reward of 1 when you press the "success" button
+4. If the time limit is reached, or the fail button is pressed, the episode ends with a reward of 0
+5. You can rerecord an episode by pressing the "rerecord" button
+6. The process automatically continues to the next episode
+7. After recording all episodes, the dataset is pushed to the Hugging Face Hub (optional) and saved locally
+
+### Processing the Dataset
+
+After collecting demonstrations, process them to determine optimal camera crops.
+Reinforcement learning is sensitive to background distractions, so it is important to crop the images to the relevant workspace area.
+
+Visual RL algorithms learn directly from pixel inputs, making them vulnerable to irrelevant visual information. Background elements like changing lighting, shadows, people moving, or objects outside the workspace can confuse the learning process. Good ROI selection should:
+
+- Include only the essential workspace where the task happens
+- Capture the robot's end-effector and all objects involved in the task
+- Exclude unnecessary background elements and distractions
+
+Note: If you already know the crop parameters, you can skip this step and just set the `crop_params_dict` in the configuration file during recording.
+
+**Determining Crop Parameters**
+
+Use the `crop_dataset_roi.py` script to interactively select regions of interest in your camera images:
+
+```bash
+python -m lerobot.rl.crop_dataset_roi --repo-id username/pick_lift_cube
+```
+
+1. For each camera view, the script will display the first frame
+2. Draw a rectangle around the relevant workspace area
+3. Press 'c' to confirm the selection
+4. Repeat for all camera views
+5. The script outputs cropping parameters and creates a new cropped dataset
+
+Example output:
+
+```
+Selected Rectangular Regions of Interest (top, left, height, width):
+observation.images.side: [180, 207, 180, 200]
+observation.images.front: [180, 250, 120, 150]
+```
+
+<p align="center">
+  <img
+    src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/lerobot/crop_dataset.gif"
+    width="600"
+  />
+</p>
+
+<p align="center">
+  <i>Interactive cropping tool for selecting regions of interest</i>
+</p>
+
+**Updating Configuration**
+
+Add these crop parameters to your training configuration:
+
+```json
+{
+  "env": {
+    "processor": {
+      "image_preprocessing": {
+        "crop_params_dict": {
+          "observation.images.side": [180, 207, 180, 200],
+          "observation.images.front": [180, 250, 120, 150]
+        },
+        "resize_size": [128, 128]
+      }
+    }
+  }
+}
+```
+
+**Recommended image resolution**
+
+Most vision-based policies have been validated on square inputs of either **128×128** (default) or **64×64** pixels. We therefore advise setting the resize_size parameter to [128, 128] – or [64, 64] if you need to save GPU memory and bandwidth. Other resolutions are possible but have not been extensively tested.
+
+### Training a Reward Classifier
+
+The reward classifier plays an important role in the HIL-SERL workflow by automating reward assignment and automatically detecting episode success. Instead of manually defining reward functions or relying on human feedback for every timestep, the reward classifier learns to predict success/failure from visual observations. This enables the RL algorithm to learn efficiently by providing consistent and automated reward signals based on the robot's camera inputs.
+
+This guide explains how to train a reward classifier for human-in-the-loop reinforcement learning implementation of LeRobot. Reward classifiers learn to predict the reward value given a state which can be used in an RL setup to train a policy.
+
+**Note**: Training a reward classifier is optional. You can start the first round of RL experiments by annotating the success manually with your gamepad or keyboard device.
+
+The reward classifier implementation in `modeling_classifier.py` uses a pretrained vision model to process the images. It can output either a single value for binary rewards to predict success/fail cases or multiple values for multi-class settings.
+
+**Collecting a Dataset for the reward classifier**
+
+Before training, you need to collect a dataset with labeled examples. The `record_dataset` function in `gym_manipulator.py` enables the process of collecting a dataset of observations, actions, and rewards.
+
+To collect a dataset, you need to modify some parameters in the environment configuration based on HILSerlRobotEnvConfig.
+
+```bash
+python -m lerobot.rl.gym_manipulator --config_path src/lerobot/configs/reward_classifier_train_config.json
+```
+
+**Key Parameters for Data Collection**
+
+- **mode**: set it to `"record"` to collect a dataset (at root level)
+- **dataset.repo_id**: `"hf_username/dataset_name"`, name of the dataset and repo on the hub
+- **dataset.num_episodes_to_record**: Number of episodes to record
+- **env.processor.reset.terminate_on_success**: Whether to automatically terminate episodes when success is detected (default: `true`)
+- **env.fps**: Number of frames per second to record
+- **dataset.push_to_hub**: Whether to push the dataset to the hub
+
+The `env.processor.reset.terminate_on_success` parameter allows you to control episode termination behavior. When set to `false`, episodes will continue even after success is detected, allowing you to collect more positive examples with the reward=1 label. This is crucial for training reward classifiers as it provides more success state examples in your dataset. When set to `true` (default), episodes terminate immediately upon success detection.
+
+**Important**: For reward classifier training, set `terminate_on_success: false` to collect sufficient positive examples. For regular HIL-SERL training, keep it as `true` to enable automatic episode termination when the task is completed successfully.
+
+Example configuration section for data collection:
+
+```json
+{
+  "env": {
+    "type": "gym_manipulator",
+    "name": "real_robot",
+    "fps": 10,
+    "processor": {
+      "reset": {
+        "reset_time_s": 5.0,
+        "control_time_s": 20.0,
+        "terminate_on_success": false
+      },
+      "gripper": {
+        "use_gripper": true
+      }
+    },
+    "robot": {
+      // ... robot configuration ...
+    },
+    "teleop": {
+      // ... teleoperator configuration ...
+    }
+  },
+  "dataset": {
+    "repo_id": "hf_username/dataset_name",
+    "dataset_root": "data/your_dataset",
+    "task": "reward_classifier_task",
+    "num_episodes_to_record": 20,
+    "replay_episode": null,
+    "push_to_hub": true
+  },
+  "mode": "record",
+  "device": "cpu"
+}
+```
+
+**Reward Classifier Configuration**
+
+The reward classifier is configured using `configuration_classifier.py`. Here are the key parameters:
+
+- **model_name**: Base model architecture (e.g., we mainly use `"helper2424/resnet10"`)
+- **model_type**: `"cnn"` or `"transformer"`
+- **num_cameras**: Number of camera inputs
+- **num_classes**: Number of output classes (typically 2 for binary success/failure)
+- **hidden_dim**: Size of hidden representation
+- **dropout_rate**: Regularization parameter
+- **learning_rate**: Learning rate for optimizer
+
+Example configuration for training the [reward classifier](https://huggingface.co/datasets/aractingi/lerobot-example-config-files/blob/main/reward_classifier_train_config.json):
+
+```json
+{
+  "policy": {
+    "type": "reward_classifier",
+    "model_name": "helper2424/resnet10",
+    "model_type": "cnn",
+    "num_cameras": 2,
+    "num_classes": 2,
+    "hidden_dim": 256,
+    "dropout_rate": 0.1,
+    "learning_rate": 1e-4,
+    "device": "cuda",
+    "use_amp": true,
+    "input_features": {
+      "observation.images.front": {
+        "type": "VISUAL",
+        "shape": [3, 128, 128]
+      },
+      "observation.images.side": {
+        "type": "VISUAL",
+        "shape": [3, 128, 128]
+      }
+    }
+  }
+}
+```
+
+**Training the Classifier**
+
+To train the classifier, use the `train.py` script with your configuration:
+
+```bash
+lerobot-train --config_path path/to/reward_classifier_train_config.json
+```
+
+**Deploying and Testing the Model**
+
+To use your trained reward classifier, configure the `HILSerlRobotEnvConfig` to use your model:
+
+<!-- prettier-ignore-start -->
+```python
+config = GymManipulatorConfig(
+    env=HILSerlRobotEnvConfig(
+        processor=HILSerlProcessorConfig(
+            reward_classifier=RewardClassifierConfig(
+                pretrained_path="path_to_your_pretrained_trained_model"
+            )
+        ),
+        # Other environment parameters
+    ),
+    dataset=DatasetConfig(...),
+    mode=None  # For training
+)
+```
+<!-- prettier-ignore-end -->
+
+or set the argument in the json config file.
+
+```json
+{
+  "env": {
+    "processor": {
+      "reward_classifier": {
+        "pretrained_path": "path_to_your_pretrained_model",
+        "success_threshold": 0.7,
+        "success_reward": 1.0
+      },
+      "reset": {
+        "terminate_on_success": true
+      }
+    }
+  }
+}
+```
+
+Run `gym_manipulator.py` to test the model.
+
+```bash
+python -m lerobot.rl.gym_manipulator --config_path path/to/env_config.json
+```
+
+The reward classifier will automatically provide rewards based on the visual input from the robot's cameras.
+
+**Example Workflow for training the reward classifier**
+
+1. **Create the configuration files**:
+   Create the necessary json configuration files for the reward classifier and the environment. Check the examples [here](https://huggingface.co/datasets/lerobot/config_examples/resolve/main/reward_classifier/config.json).
+
+2. **Collect a dataset**:
+
+   ```bash
+   python -m lerobot.rl.gym_manipulator --config_path src/lerobot/configs/env_config.json
+   ```
+
+3. **Train the classifier**:
+
+   ```bash
+   lerobot-train --config_path src/lerobot/configs/reward_classifier_train_config.json
+   ```
+
+4. **Test the classifier**:
+   ```bash
+   python -m lerobot.rl.gym_manipulator --config_path src/lerobot/configs/env_config.json
+   ```
+
+### Training with Actor-Learner
+
+The LeRobot system uses a distributed actor-learner architecture for training. This architecture decouples robot interactions from the learning process, allowing them to run concurrently without blocking each other. The actor server handles robot observations and actions, sending interaction data to the learner server. The learner server performs gradient descent and periodically updates the actor's policy weights. You will need to start two processes: a learner and an actor.
+
+**Configuration Setup**
+
+Create a training configuration file (example available [here](https://huggingface.co/datasets/lerobot/config_examples/resolve/main/rl/train_config.json)). The training config is based on the main `TrainRLServerPipelineConfig` class in `lerobot/configs/train.py`.
+
+1. Configure the policy settings (`type="sac"`, `device`, etc.)
+2. Set `dataset` to your cropped dataset
+3. Configure environment settings with crop parameters
+4. Check the other parameters related to SAC in [configuration_sac.py](https://github.com/huggingface/lerobot/blob/main/src/lerobot/policies/sac/configuration_sac.py#L79).
+5. Verify that the `policy` config is correct with the right `input_features` and `output_features` for your task.
+
+**Starting the Learner**
+
+First, start the learner server process:
+
+```bash
+python -m lerobot.rl.learner --config_path src/lerobot/configs/train_config_hilserl_so100.json
+```
+
+The learner:
+
+- Initializes the policy network
+- Prepares replay buffers
+- Opens a `gRPC` server to communicate with actors
+- Processes transitions and updates the policy
+
+**Starting the Actor**
+
+In a separate terminal, start the actor process with the same configuration:
+
+```bash
+python -m lerobot.rl.actor --config_path src/lerobot/configs/train_config_hilserl_so100.json
+```
+
+The actor:
+
+- Connects to the learner via `gRPC`
+- Initializes the environment
+- Execute rollouts of the policy to collect experience
+- Sends transitions to the learner
+- Receives updated policy parameters
+
+**Training Flow**
+
+The training proceeds automatically:
+
+1. The actor executes the policy in the environment
+2. Transitions are collected and sent to the learner
+3. The learner updates the policy based on these transitions
+4. Updated policy parameters are sent back to the actor
+5. The process continues until the specified step limit is reached
+
+**Human in the Loop**
+
+- The key to learning efficiently is to have human interventions to provide corrective feedback and completing the task to aide the policy learning and exploration.
+- To perform human interventions, you can press the upper right trigger button on the gamepad (or the `space` key on the keyboard). This will pause the policy actions and allow you to take over.
+- A successful experiment is one where the human has to intervene at the start but then reduces the amount of interventions as the policy improves. You can monitor the intervention rate in the `wandb` dashboard.
+
+<p align="center">
+  <img
+    src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/lerobot/hil_effect.png?raw=true"
+    alt="Figure shows the control mappings on a Logitech gamepad."
+    title="Gamepad Control Mapping"
+    width="100%"
+  ></img>
+</p>
+
+<p align="center">
+  <i>
+    Example showing how human interventions help guide policy learning over time
+  </i>
+</p>
+
+- The figure shows the plot of the episodic reward over interaction step. The figure shows the effect of human interventions on the policy learning.
+- The orange curve is an experiment without any human interventions. While the pink and blue curves are experiments with human interventions.
+- We can observe that the number of steps where the policy starts achieving the maximum reward is cut by a quarter when human interventions are present.
+
+**Monitoring and Debugging**
+
+If you have `wandb.enable` set to `true` in your configuration, you can monitor training progress in real-time through the [Weights & Biases](https://wandb.ai/site/) dashboard.
+
+### Guide to Human Interventions
+
+The learning process is very sensitive to the intervention strategy. It will takes a few runs to understand how to intervene effectively. Some tips and hints:
+
+- Allow the policy to explore for a few episodes at the start of training.
+- Avoid intervening for long periods of time. Try to intervene in situation to correct the robot's behaviour when it goes off track.
+- Once the policy starts achieving the task, even if its not perfect, you can limit your interventions to simple quick actions like a simple grasping commands.
+
+The ideal behaviour is that your intervention rate should drop gradually during training as shown in the figure below.
+
+<p align="center">
+  <img
+    src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/lerobot/intervention_rate_tutorial_rl.png?raw=true"
+    alt="Intervention rate"
+    title="Intervention rate during training"
+    width="100%"
+  ></img>
+</p>
+
+<p align="center">
+  <i>
+    Plot of the intervention rate during a training run on a pick and lift cube
+    task
+  </i>
+</p>
+
+### Key hyperparameters to tune
+
+Some configuration values have a disproportionate impact on training stability and speed:
+
+- **`temperature_init`** (`policy.temperature_init`) – initial entropy temperature in SAC. Higher values encourage more exploration; lower values make the policy more deterministic early on. A good starting point is `1e-2`. We observed that setting it too high can make human interventions ineffective and slow down learning.
+- **`policy_parameters_push_frequency`** (`policy.actor_learner_config.policy_parameters_push_frequency`) – interval in _seconds_ between two weight pushes from the learner to the actor. The default is `4 s`. Decrease to **1-2 s** to provide fresher weights (at the cost of more network traffic); increase only if your connection is slow, as this will reduce sample efficiency.
+- **`storage_device`** (`policy.storage_device`) – device on which the learner keeps the policy parameters. If you have spare GPU memory, set this to `"cuda"` (instead of the default `"cpu"`). Keeping the weights on-GPU removes CPU→GPU transfer overhead and can significantly increase the number of learner updates per second.
+
+Congrats 🎉, you have finished this tutorial!
+
+> [!TIP]
+> If you have any questions or need help, please reach out on [Discord](https://discord.com/invite/s3KuuzsPFb).
+
+Paper citation:
+
+```
+@article{luo2024precise,
+  title={Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning},
+  author={Luo, Jianlan and Xu, Charles and Wu, Jeffrey and Levine, Sergey},
+  journal={arXiv preprint arXiv:2410.21845},
+  year={2024}
+}
+```
+
+
+<EditOnGithub source="https://github.com/huggingface/lerobot/blob/main/docs/source/hilserl.mdx" />
\ No newline at end of file
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diff --git a/examples/grid_hil_serl/img.jpg b/examples/grid_hil_serl/media/img.jpg
similarity index 100%
rename from examples/grid_hil_serl/img.jpg
rename to examples/grid_hil_serl/media/img.jpg
diff --git a/examples/grid_hil_serl/train_grid_position.json b/examples/grid_hil_serl/train_grid_position.json
index 43dd718ee7..ab1baba108 100644
--- a/examples/grid_hil_serl/train_grid_position.json
+++ b/examples/grid_hil_serl/train_grid_position.json
@@ -16,7 +16,7 @@
     },
     "dataset": {
         "repo_id": "spirosperos/grid-position-prediction",
-        "root": "/home/nikola/lerobot_spes/recording_grid_position_lerobot",
+        "root": "./recording_grid_position_lerobot",
         "revision": null,
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new file mode 100644
index 0000000000..0c06b1dbbf
--- /dev/null
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diff --git a/recording_grid_position_lerobot/meta/episodes_stats.jsonl b/recording_grid_position_lerobot/meta/episodes_stats.jsonl
new file mode 100644
index 0000000000..1ee8ac8c86
--- /dev/null
+++ b/recording_grid_position_lerobot/meta/episodes_stats.jsonl
@@ -0,0 +1,200 @@
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+{"episode_index": 191, "stats": {"observation.image": {"min": [[[0.0]], [[0.0]], [[0.0]]], "max": [[[1.0]], [[1.0]], [[1.0]]], "mean": [[[0.24023078469669118]], [[0.23789613013174019]], [[0.23789613013174019]]], "std": [[[0.34869563796609315]], [[0.34554344163188294]], [[0.34554344163188294]]], "count": [1]}, "action": {"min": [0.1428571492433548, -0.7142857313156128], "max": [0.1428571492433548, -0.7142857313156128], "mean": [0.1428571492433548, -0.7142857313156128], "std": [0.0, 0.0], "count": [1]}, "next.reward": {"min": [1.0], "max": [1.0], "mean": [1.0], "std": [0.0], "count": [1]}, "next.done": {"min": [true], "max": [true], "mean": [1.0], "std": [0.0], "count": [1]}, "timestamp": {"min": [0.0], "max": [0.0], "mean": [0.0], "std": [0.0], "count": [1]}, "frame_index": {"min": [0], "max": [0], "mean": [0.0], "std": [0.0], "count": [1]}, "episode_index": {"min": [191], "max": [191], "mean": [191.0], "std": [0.0], "count": [1]}, "index": {"min": [191], "max": [191], "mean": [191.0], "std": [0.0], "count": [1]}, "task_index": {"min": [0], "max": [0], "mean": [0.0], "std": [0.0], "count": [1]}}}
+{"episode_index": 192, "stats": {"observation.image": {"min": [[[0.0]], [[0.0]], [[0.0]]], "max": [[[1.0]], [[1.0]], [[1.0]]], "mean": [[[0.24044021905637256]], [[0.23860916436887256]], [[0.23860916436887256]]], "std": [[[0.34903000275808677]], [[0.3462994124174685]], [[0.3462994124174685]]], "count": [1]}, "action": {"min": [-0.4285714328289032, -0.1428571492433548], "max": [-0.4285714328289032, -0.1428571492433548], "mean": [-0.4285714328289032, -0.1428571492433548], "std": [0.0, 0.0], "count": [1]}, "next.reward": {"min": [1.0], "max": [1.0], "mean": [1.0], "std": [0.0], "count": [1]}, "next.done": {"min": [true], "max": [true], "mean": [1.0], "std": [0.0], "count": [1]}, "timestamp": {"min": [0.0], "max": [0.0], "mean": [0.0], "std": [0.0], "count": [1]}, "frame_index": {"min": [0], "max": [0], "mean": [0.0], "std": [0.0], "count": [1]}, "episode_index": {"min": [192], "max": [192], "mean": [192.0], "std": [0.0], "count": [1]}, "index": {"min": [192], "max": [192], "mean": [192.0], "std": [0.0], "count": [1]}, "task_index": {"min": [0], "max": [0], "mean": [0.0], "std": [0.0], "count": [1]}}}
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+{"episode_index": 194, "stats": {"observation.image": {"min": [[[0.0]], [[0.0]], [[0.0]]], "max": [[[1.0]], [[1.0]], [[1.0]]], "mean": [[[0.24039067287071078]], [[0.23778650620404412]], [[0.23778650620404412]]], "std": [[[0.34771302439534646]], [[0.3455335550431671]], [[0.3455335550431671]]], "count": [1]}, "action": {"min": [-0.7142857313156128, -1.0], "max": [-0.7142857313156128, -1.0], "mean": [-0.7142857313156128, -1.0], "std": [0.0, 0.0], "count": [1]}, "next.reward": {"min": [1.0], "max": [1.0], "mean": [1.0], "std": [0.0], "count": [1]}, "next.done": {"min": [true], "max": [true], "mean": [1.0], "std": [0.0], "count": [1]}, "timestamp": {"min": [0.0], "max": [0.0], "mean": [0.0], "std": [0.0], "count": [1]}, "frame_index": {"min": [0], "max": [0], "mean": [0.0], "std": [0.0], "count": [1]}, "episode_index": {"min": [194], "max": [194], "mean": [194.0], "std": [0.0], "count": [1]}, "index": {"min": [194], "max": [194], "mean": [194.0], "std": [0.0], "count": [1]}, "task_index": {"min": [0], "max": [0], "mean": [0.0], "std": [0.0], "count": [1]}}}
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+{"episode_index": 197, "stats": {"observation.image": {"min": [[[0.0]], [[0.0]], [[0.0]]], "max": [[[1.0]], [[1.0]], [[1.0]]], "mean": [[[0.240341126685049]], [[0.23768980736825981]], [[0.23768980736825981]]], "std": [[[0.34879524340969303]], [[0.3454674394257082]], [[0.3454674394257082]]], "count": [1]}, "action": {"min": [-0.7142857313156128, -0.4285714328289032], "max": [-0.7142857313156128, -0.4285714328289032], "mean": [-0.7142857313156128, -0.4285714328289032], "std": [0.0, 0.0], "count": [1]}, "next.reward": {"min": [1.0], "max": [1.0], "mean": [1.0], "std": [0.0], "count": [1]}, "next.done": {"min": [true], "max": [true], "mean": [1.0], "std": [0.0], "count": [1]}, "timestamp": {"min": [0.0], "max": [0.0], "mean": [0.0], "std": [0.0], "count": [1]}, "frame_index": {"min": [0], "max": [0], "mean": [0.0], "std": [0.0], "count": [1]}, "episode_index": {"min": [197], "max": [197], "mean": [197.0], "std": [0.0], "count": [1]}, "index": {"min": [197], "max": [197], "mean": [197.0], "std": [0.0], "count": [1]}, "task_index": {"min": [0], "max": [0], "mean": [0.0], "std": [0.0], "count": [1]}}}
+{"episode_index": 198, "stats": {"observation.image": {"min": [[[0.0]], [[0.0]], [[0.0]]], "max": [[[1.0]], [[1.0]], [[1.0]]], "mean": [[[0.24085789100796567]], [[0.2381036496629902]], [[0.2381036496629902]]], "std": [[[0.3484221431483756]], [[0.34567304572591934]], [[0.34567304572591934]]], "count": [1]}, "action": {"min": [-1.0, 0.4285714328289032], "max": [-1.0, 0.4285714328289032], "mean": [-1.0, 0.4285714328289032], "std": [0.0, 0.0], "count": [1]}, "next.reward": {"min": [1.0], "max": [1.0], "mean": [1.0], "std": [0.0], "count": [1]}, "next.done": {"min": [true], "max": [true], "mean": [1.0], "std": [0.0], "count": [1]}, "timestamp": {"min": [0.0], "max": [0.0], "mean": [0.0], "std": [0.0], "count": [1]}, "frame_index": {"min": [0], "max": [0], "mean": [0.0], "std": [0.0], "count": [1]}, "episode_index": {"min": [198], "max": [198], "mean": [198.0], "std": [0.0], "count": [1]}, "index": {"min": [198], "max": [198], "mean": [198.0], "std": [0.0], "count": [1]}, "task_index": {"min": [0], "max": [0], "mean": [0.0], "std": [0.0], "count": [1]}}}
+{"episode_index": 199, "stats": {"observation.image": {"min": [[[0.0]], [[0.0]], [[0.0]]], "max": [[[1.0]], [[1.0]], [[1.0]]], "mean": [[[0.23813213273590686]], [[0.23533121744791666]], [[0.23533121744791666]]], "std": [[[0.3465308111311969]], [[0.3433249846641131]], [[0.3433249846641131]]], "count": [1]}, "action": {"min": [-0.1428571492433548, 1.0], "max": [-0.1428571492433548, 1.0], "mean": [-0.1428571492433548, 1.0], "std": [0.0, 0.0], "count": [1]}, "next.reward": {"min": [1.0], "max": [1.0], "mean": [1.0], "std": [0.0], "count": [1]}, "next.done": {"min": [true], "max": [true], "mean": [1.0], "std": [0.0], "count": [1]}, "timestamp": {"min": [0.0], "max": [0.0], "mean": [0.0], "std": [0.0], "count": [1]}, "frame_index": {"min": [0], "max": [0], "mean": [0.0], "std": [0.0], "count": [1]}, "episode_index": {"min": [199], "max": [199], "mean": [199.0], "std": [0.0], "count": [1]}, "index": {"min": [199], "max": [199], "mean": [199.0], "std": [0.0], "count": [1]}, "task_index": {"min": [0], "max": [0], "mean": [0.0], "std": [0.0], "count": [1]}}}
diff --git a/recording_grid_position_lerobot/meta/info.json b/recording_grid_position_lerobot/meta/info.json
new file mode 100644
index 0000000000..e9da0eda79
--- /dev/null
+++ b/recording_grid_position_lerobot/meta/info.json
@@ -0,0 +1,83 @@
+{
+    "codebase_version": "v2.1",
+    "robot_type": null,
+    "total_episodes": 200,
+    "total_frames": 200,
+    "total_tasks": 1,
+    "total_videos": 0,
+    "total_chunks": 1,
+    "chunks_size": 1000,
+    "fps": 10,
+    "splits": {
+        "train": "0:200"
+    },
+    "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
+    "video_path": null,
+    "features": {
+        "observation.image": {
+            "dtype": "image",
+            "shape": [
+                3,
+                128,
+                128
+            ],
+            "names": null
+        },
+        "action": {
+            "dtype": "float32",
+            "shape": [
+                2
+            ],
+            "names": null
+        },
+        "next.reward": {
+            "dtype": "float32",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "next.done": {
+            "dtype": "bool",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "timestamp": {
+            "dtype": "float32",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "frame_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "episode_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "task_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null
+        }
+    }
+}
\ No newline at end of file
diff --git a/recording_grid_position_lerobot/meta/tasks.jsonl b/recording_grid_position_lerobot/meta/tasks.jsonl
new file mode 100644
index 0000000000..7f743d5c14
--- /dev/null
+++ b/recording_grid_position_lerobot/meta/tasks.jsonl
@@ -0,0 +1 @@
+{"task_index": 0, "task": "grid_position_prediction"}
diff --git a/src/lerobot/scripts/rl/actor.py b/src/lerobot/scripts/rl/actor.py
index 67cc947c09..5211637f9f 100644
--- a/src/lerobot/scripts/rl/actor.py
+++ b/src/lerobot/scripts/rl/actor.py
@@ -51,8 +51,13 @@
 import time
 from collections import deque
 from functools import lru_cache
+from pathlib import Path
 from queue import Empty
 
+import matplotlib
+
+matplotlib.use("Agg")
+import matplotlib.pyplot as plt
 import numpy as np
 
 import grpc
@@ -274,6 +279,13 @@ def act_with_policy(
     auto_correct = 0
     auto_l1_sum = 0.0
     recent_episode_results: deque[int] = deque(maxlen=50)
+    episode_counter = 0
+    episode_indices: list[int] = []
+    rolling_accuracy_history: list[float] = []
+
+    base_output_dir = Path(cfg.output_dir) if cfg.output_dir else Path("outputs") / "grid_position"
+    accuracy_plot_dir = base_output_dir / "accuracy_plots"
+    accuracy_plot_dir.mkdir(parents=True, exist_ok=True)
 
     policy_timer = TimerManager("Policy inference", log=False)
 
@@ -489,6 +501,23 @@ def _action_to_grid_coords(raw_action) -> tuple[int, int, np.ndarray]:
                 f"[AUTO ACCURACY 50] episodes={len(recent_episode_results)} accuracy={rolling_acc:.1f}%"
             )
 
+            episode_counter += 1
+            episode_indices.append(episode_counter)
+            rolling_accuracy_history.append(rolling_acc)
+
+            if episode_counter % 10 == 0:
+                plt.figure(figsize=(6, 4))
+                plt.plot(episode_indices, rolling_accuracy_history, marker="o", linewidth=1.5)
+                plt.xlabel("Episode")
+                plt.ylabel("Rolling Accuracy (last 50) [%]")
+                plt.title("Grid Task Accuracy")
+                plt.ylim(0, 100)
+                plt.grid(True, linestyle="--", alpha=0.3)
+                plot_path = accuracy_plot_dir / f"accuracy_episode_{episode_counter:05d}.png"
+                plt.tight_layout()
+                plt.savefig(plot_path)
+                plt.close()
+
             update_policy_parameters(
                 policy=policy,
                 parameters_queue=parameters_queue,
diff --git a/src/recording_grid_position_lerobot/.gitattributes b/src/recording_grid_position_lerobot/.gitattributes
new file mode 100644
index 0000000000..1ef325f1b1
--- /dev/null
+++ b/src/recording_grid_position_lerobot/.gitattributes
@@ -0,0 +1,59 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.lz4 filter=lfs diff=lfs merge=lfs -text
+*.mds filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
+*.aac filter=lfs diff=lfs merge=lfs -text
+*.flac filter=lfs diff=lfs merge=lfs -text
+*.mp3 filter=lfs diff=lfs merge=lfs -text
+*.ogg filter=lfs diff=lfs merge=lfs -text
+*.wav filter=lfs diff=lfs merge=lfs -text
+# Image files - uncompressed
+*.bmp filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.tiff filter=lfs diff=lfs merge=lfs -text
+# Image files - compressed
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.jpeg filter=lfs diff=lfs merge=lfs -text
+*.webp filter=lfs diff=lfs merge=lfs -text
+# Video files - compressed
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.webm filter=lfs diff=lfs merge=lfs -text
diff --git a/src/recording_grid_position_lerobot/README.md b/src/recording_grid_position_lerobot/README.md
new file mode 100644
index 0000000000..371b6cbb73
--- /dev/null
+++ b/src/recording_grid_position_lerobot/README.md
@@ -0,0 +1,118 @@
+---
+license: apache-2.0
+task_categories:
+- robotics
+tags:
+- LeRobot
+configs:
+- config_name: default
+  data_files: data/*/*.parquet
+---
+
+This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).
+
+## Dataset Description
+
+
+
+- **Homepage:** [More Information Needed]
+- **Paper:** [More Information Needed]
+- **License:** apache-2.0
+
+## Dataset Structure
+
+[meta/info.json](meta/info.json):
+```json
+{
+    "codebase_version": "v2.1",
+    "robot_type": null,
+    "total_episodes": 10,
+    "total_frames": 10,
+    "total_tasks": 1,
+    "total_videos": 0,
+    "total_chunks": 1,
+    "chunks_size": 1000,
+    "fps": 10,
+    "splits": {
+        "train": "0:10"
+    },
+    "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet",
+    "video_path": null,
+    "features": {
+        "observation.image": {
+            "dtype": "image",
+            "shape": [
+                3,
+                128,
+                128
+            ],
+            "names": null
+        },
+        "action": {
+            "dtype": "int64",
+            "shape": [
+                2
+            ],
+            "names": null
+        },
+        "next.reward": {
+            "dtype": "float32",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "next.done": {
+            "dtype": "bool",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "timestamp": {
+            "dtype": "float32",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "frame_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "episode_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null
+        },
+        "task_index": {
+            "dtype": "int64",
+            "shape": [
+                1
+            ],
+            "names": null
+        }
+    }
+}
+```
+
+
+## Citation
+
+**BibTeX:**
+
+```bibtex
+[More Information Needed]
+```
\ No newline at end of file
diff --git a/src/recording_grid_position_lerobot/meta/episodes.jsonl b/src/recording_grid_position_lerobot/meta/episodes.jsonl
new file mode 100644
index 0000000000..0c06b1dbbf
--- /dev/null
+++ b/src/recording_grid_position_lerobot/meta/episodes.jsonl
@@ -0,0 +1,200 @@
+{"episode_index": 0, "tasks": ["grid_position_prediction"], "length": 1}
+{"episode_index": 1, "tasks": ["grid_position_prediction"], "length": 1}
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diff --git a/src/recording_grid_position_lerobot/meta/episodes_stats.jsonl b/src/recording_grid_position_lerobot/meta/episodes_stats.jsonl
new file mode 100644
index 0000000000..1ee8ac8c86
--- /dev/null
+++ b/src/recording_grid_position_lerobot/meta/episodes_stats.jsonl
@@ -0,0 +1,200 @@
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diff --git a/src/recording_grid_position_lerobot/meta/info.json b/src/recording_grid_position_lerobot/meta/info.json
new file mode 100644
index 0000000000..e9da0eda79
--- /dev/null
+++ b/src/recording_grid_position_lerobot/meta/info.json
@@ -0,0 +1,83 @@
+{
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+    "chunks_size": 1000,
+    "fps": 10,
+    "splits": {
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+    }
+}
\ No newline at end of file
diff --git a/src/recording_grid_position_lerobot/meta/tasks.jsonl b/src/recording_grid_position_lerobot/meta/tasks.jsonl
new file mode 100644
index 0000000000..7f743d5c14
--- /dev/null
+++ b/src/recording_grid_position_lerobot/meta/tasks.jsonl
@@ -0,0 +1 @@
+{"task_index": 0, "task": "grid_position_prediction"}