A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

BricksRL: A Platform for Democratizing Robotics and Reinforcement Learning Research and Education with LEGO

This project is a pipeline that connects a Matlab simulation (Simulink) to an OpenAI Gym wrapper for PyTorch Reinforcement Learning using the DQN algorithm.

An adaption of the Flatland environment for TorchRL.

A highly modular and extensible PyTorch-based reinforcement learning library.

Small prototype to show RoboHive usage with TorchRL for visual deep reinforcement learning

Small prototype to show RLBench usage with TorchRL

Clone of the Mars: Mars game using Pygame as a Reinforcement Learning Gym 🚀

Training a PPO agent to play chess with pretraining and self-learning using PyTorch Lightning and TorchRL

🤖 PPO and DQN reinforcement learning algorithms implemented with PyTorch and TorchRL for autonomous driving.

This project aims to improve the efficiency of online reinforcement learning by incorporating bisimulation-based metrics into the experience replay process. Bisimulation Prioritized Experience Replay (BPER) prioritizes experiences based on their behavioral differences.