World Model based Autonomous Driving Platform in CARLA 🚗
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Updated
Mar 20, 2025 - Python
World Model based Autonomous Driving Platform in CARLA 🚗
RosNav-RL: A flexible, modular framework for building, training, and deploying reinforcement learning navigation agents in ROS. Supports multiple RL backends with ready-to-use components for rapid development and experimentation in autonomous robot navigation.
Flax Implementation of DreamerV3 on Crafter
🌍 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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