a3c topic

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,...

omerbsezer

A library for ready-made reinforcement learning agents and reusable components for neat prototyping

cyoon1729

强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

datawhalechina

Minimal and Clean Reinforcement Learning Examples

rlcode

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

seungeunrho

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

MorvanZhou

Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math

sudharsan13296

Pytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and effi...

Nasdin

Deep Reinforcement Learning with pytorch & visdom

jingweiz

Implementations of deep RL papers and random experimentation

steveKapturowski