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.

NMA deep learning course

A curated list of Decision Transformer resources (continually updated)

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

PyTorch C++ Reinforcement Learning

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

《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)

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

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

A simple framework for experimenting with Reinforcement Learning in Python.

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