[ICLR 2025 Oral] PyTorch code for the paper "Open-World Reinforcement Learning over Long Short-Term Imagination"

RosNav-RL is a modular DRL framework for ROS 2 with a pluggable architecture, allowing you to switch between RL backends like Stable-Baselines3 and DreamerV3 to accelerate research and deployment.

Flax Implementation of DreamerV3 on Crafter

PyTorch implementation of DreamerV3 from "Mastering Diverse Domains with World Models"

[ICLR 2025 Oral] PyTorch code for the paper "Open-World Reinforcement Learning over Long Short-Term Imagination"

The implementation of pytorch-based DreamerV3 for Meta-world simulator.

A template for deploying DreamerV3 with Ray RLlib, compatible with Gym and custom environments.

🌍 Investigating the understanding of spatio-temporal information in World Models | Research Project in World Models 2024 by The University of Tokyo

Hierarchical learning by dreaming for empowering control with latent skills in imagination

Reinforcement Learning : Autonomous parallel parking task. implementing SAC and DreamerV3's World Model on Highway-env

Implement Dreamerv3 to train robots in webots

Hierarchical extension of Dreamer-V3 pytorch implementation. Decouples low level and high level features in the latent space.