World Model based Autonomous Driving Platform in CARLA 🚗
[ICLR 2025 Oral] PyTorch code for the paper "Open-World Reinforcement Learning over Long Short-Term Imagination"
Build better navigation agents, faster. 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"
🌍 Investigating the understanding of spatio-temporal information in World Models | Research Project in World Models 2024 by The University of Tokyo
A template for deploying DreamerV3 with Ray RLlib, compatible with Gym and custom environments.
Implement Dreamerv3 to train robots in webots
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