Popular GitHub Repositories for Option Critic

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Modularized Implementation of Deep RL Algorithms in PyTorch

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".

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

ChainerRL is a deep reinforcement learning library built on top of Chainer.

Asynchronous Advantage Actor-Critic (A3C) algorithm for Super Mario Bros

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

32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

PyTorch implementation of soft actor critic

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Deep Reinforcement Learning For Sequence to Sequence Models

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

A PyTorch library for building deep reinforcement learning agents.

Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog