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. The Most Comprehensive Reinforcement Learning Framework B.P.

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)

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

Really Fast End-to-End Jax RL Implementations

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.

A PyTorch library for building deep reinforcement learning agents.

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

Guided Policy Search

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

PyTorch C++ Reinforcement Learning

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

🤖 The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

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