A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
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Updated
Sep 2, 2024 - Python
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
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.
Training a PPO agent to play chess with pretraining and self-learning using PyTorch Lightning and TorchRL
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