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

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

MuZero

Code and other material for the book "Deep Learning and the Game of Go"

BetaGo: AlphaGo for the masses, live on GitHub.

A student implementation of Alpha Go Zero

A Go playing program implemented in Tensorflow roughly according to the architecture of AlphaGo. Current strength is 3~4 amateur dan.

An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku

Reinforcing Your Learning of Reinforcement Learning

A "build to learn" Alpha Zero implementation using Gradient Boosted Decision Trees (LightGBM)

A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games

Meta-Zeta是一个基于强化学习的五子棋(Gobang)模型，主要用以了解AlphaGo Zero的运行原理的Demo，即神经网络是如何指导MCTS做出决策的，以及如何自我对弈学习。源码+教程

alphaGo版本的五子棋(gobang, gomoku)

An implementation of improved AlphaGo algorithm in the game of Gomoku.

Computer go engine using Monte-Carlo Tree Search written in Python3.

基於深度學習的 GTP 圍棋（围棋）引擎，KGS 指引文件以及演算法教學。

基于miniGo的幻影围棋AI，2019中国计算机博弈大赛幻影围棋组冠军；AI of Phantom Go based on miniGo

A very fast implementation of AlphaZero, applied to games like Splendor, Santorini, The Little Prince, … Browser version available

Deep Reinforcement Learning to Play 2048 (with Keras)