Chess reinforcement learning by AlphaGo Zero methods.
Go AI program which implements the AlphaGo Zero paper
翻译 - 实施AlphaGo Zero论文的Go AI程序
Implement AlphaZero/AlphaGo Zero methods on Chinese chess.
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.
翻译 - 以AlphaGo Zero论文为模型，无需人工提供知识的Go引擎。
Reversi reinforcement learning by AlphaGo Zero methods.
Connect4 reinforcement learning by AlphaGo Zero methods.
AlphaGo Zero Reimplementation. MCTS Self Play library.
AlphaGo-paper
An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
AlphaZero implemented Chinese chess. AlphaGo Zero / AlphaZero实践项目，实现中国象棋。
AlphaGo Zero implementation using Flux.jl
Unofficial attempt to rebuild AlphaGo Zero
Code to recreate AlphaGo Zero models
This is the code for "How Does DeepMind's AlphaGo Zero Work?" Siraj Raval on Youtube
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
A reproduction of Alphago Zero in "Mastering the game of Go without human knowledge"
BetaGo: AlphaGo for the masses, live on GitHub.
A reimplementation of AlphaGo in Go (specifically AlphaZero)
