Soft Actor-Critic

A curated list of awesome Deep Reinforcement Learning resources.

Minimal and Clean Reinforcement Learning Examples

A course in reinforcement learning in the wild

A replica of the AlphaZero methodology for deep reinforcement learning in Python

Structural implementation of RL key algorithms

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Python Implementation of Reinforcement Learning: An Introduction

Reinforcement learning resources curated

A structured implementation of MuZero

DrQ: Data regularized Q

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.

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control

An index of algorithms for offline reinforcement learning (offline-rl)

Efficient Batched Reinforcement Learning in TensorFlow

Reinforcement Learning Algorithms Based on PyTorch

Reinforcement Learning Algorithms Tutorial (Python) from scratch (Mar 2021)

Inverse RL algorithms (APP, MaxEnt, GAIL, VAIL)

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Diffusion Reinforcement Learning Library

Implementations of selected inverse reinforcement learning algorithms.

Datasets with baselines for Offline MARL.

Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch