learn-to-follow
[AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. T…
Open-PhyGDPO
PhyGDPO: Physics-Aware Groupwise Direct Preference Optimization for Physically Consistent Text-to-Video Generation (ECC…
gb
A minimal C implementation of Nintendo Gameboy - An fast research environment for Reinforcement Learning
Smart-Traffic-Signals-in-India-using-Deep-Reinforcement-Learning-and-Advanced-Computer-Vision
We have used Deep Reinforcement Learning and Advanced Computer Vision techniques to for the creation of Smart Traffic S…
evogym
A large-scale benchmark for co-optimizing the design and control of soft robots, as seen in NeurIPS 2021.
SurRoL
[IROS'21] SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learni…
quadrupeds_locomotion
Learn how to train a quadruped robot to walk using reinforcement learning, from defining actions and observations to de…
pogema
[ICLR-2025] POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environme…
simglucose
A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose
PULSE
Official Implementation of the ICLR 2024 spotlight paper: Universal Humanoid Motion Representations for Physics-Based C…
robotic-warehouse
Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment