A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
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Updated
May 16, 2024 - Jupyter Notebook
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
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)
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
Reinforcing Your Learning of Reinforcement Learning
A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.
AI-driven, Multiplayer Go/Weiqi/Baduk for the web 🐛🤖🦀♟
AlphaGo Zero implementation using Flux.jl
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)
AlphaZero based engine for the game of Go (圍棋/围棋).
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