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

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

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.

中国象棋alpha zero程序

A student implementation of Alpha Go Zero

A Deep Learning UCI-Chess Variant Engine written in C++ & Python 🦜

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

datasets for computer go

AlphaZero based engine for the game of Go (圍棋/围棋).

Reinforcing Your Learning of Reinforcement Learning

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

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

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

AI-driven, Multiplayer Go/Weiqi/Baduk for the web 🐛🤖🦀♟

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 Zero implementation using Flux.jl