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

Repo for the Deep Reinforcement Learning Nanodegree program

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

OpenDILab Decision AI Engine

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

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

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

NMA deep learning course

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.

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

A PyTorch library for building deep reinforcement learning agents.

A curated list of Monte Carlo tree search papers with implementations.

Guided Policy Search

Really Fast End-to-End Jax RL Implementations

A curated list of Decision Transformer resources (continually updated)

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

PyTorch C++ Reinforcement Learning

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

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

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