A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

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

Chess reinforcement learning by AlphaGo Zero methods.

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

Reversi reinforcement learning by AlphaGo Zero methods.

中国象棋alpha zero程序

Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowledge]. The supervised learning approach is more practical for individuals. (This repository has single purpose of education only)

A student implementation of Alpha Go Zero

Connect4 reinforcement learning by AlphaGo Zero methods.

SAI: a fork of Leela Zero with variable komi.

AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.

Reinforcing Your Learning of Reinforcement Learning

PyTorch implementation of AlphaZero Connect from scratch (with results)

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

alphaGo版本的五子棋(gobang, gomoku)

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

Unofficial attempt to rebuild AlphaGo Zero

A reinforcement learning based solver for combinatorial problems

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