Popular GitHub Repositories for Reinforcement Learning Algorithms

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

A curated list of awesome model based RL resources (continually updated)

A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyyu/coding-ppo-from-scratch-with-pytorch-part-1-4-613dfc1b14c8.

A curated list of Decision Transformer resources (continually updated)

NMA deep learning course

MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

This is a project about deep reinforcement learning autonomous obstacle avoidance algorithm for UAV.

PyTorch C++ Reinforcement Learning

《Reinforcement Learning: An Introduction》（第二版）中文翻译

A curated list of awesome exploration RL resources (continually updated)

Framework for Multi-Agent Deep Reinforcement Learning in Poker

A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL

GitHub's code repository is all you need

DeepRL algorithms implementation easy for understanding and reading with Pytorch and Tensorflow 2(DQN, REINFORCE, VPG, A2C, TRPO, PPO, DDPG, TD3, SAC)

Reinforcement learning theory book about foundations of deep RL algorithms with proofs.

PyTorch implementation of Hierarchical Actor Critic (HAC) for OpenAI gym environments

A simple framework for experimenting with Reinforcement Learning in Python.

xingtian is a componentized library for the development and verification of reinforcement learning algorithms