Textarena minimal #232
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Textarena minimal #232
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…rt all other changes to match main
shannonsands
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dmahan93
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Aug 12, 2025
| f"[Traj {trajectory_idx}] Step {step_count} | Player {current_player} | Obs: {_obs_preview}..." | ||
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| if current_player == self.config.training_player_index: |
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if it's multiplayer and the other players are the same policy why are we throwing them away
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because I didn't want to overcomplicate things with this PR basically. We'd need to do group rollouts with all players & build their own ScoredDataGroups
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we're basically doing that already minus building independent ScoredDataGroups
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Ok, can add it. But the other players trajectories won't all be starting from the same state (since player 1's moves can be totally different), so not sure how meaningful the advantage calculation for them will be
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dmahan93
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Aug 25, 2025
| f"[Traj {trajectory_idx}] Step {step_count} | Player {current_player} | Obs: {_obs_preview}..." | ||
| ) | ||
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| if current_player == self.config.training_player_index: |
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PR Type
📝 General Information
Description
Integration & registry code for TextArena. Random sampling over all TextArena games. Minimal agent implementation, just parallel rollouts with max steps. Single agent trainer only, no full self play yet (opponents don't train)
🔖 Environment Snapshot
🧪 Zero-Training Test Results
Details
W&B Link:
https://wandb.ai/nous_research/hermes-qwen3-14b-grpo-textarena/runs/myzy6tx0
Examples of the Environment scoring a good example and a bad example:
✅ Developer & Reviewer Checklist