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
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Implement AlphaZero/AlphaGo Zero methods on Chinese chess.
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
A Multi-threaded Implementation of AlphaZero
An asynchronous/parallel method of AlphaGo Zero algorithm with Gomoku
A Deep Learning UCI-Chess Variant Engine written in C++ & Python 🦜
PyTorch implementation of AlphaZero Connect from scratch (with results)
datasets for computer go
A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.
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.
Free Book about Deep-Learning approaches for Chess (like AlphaZero, Leela Chess Zero and Stockfish NNUE)
A functional Alpha Zero that plays Othello using Keras
A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.
Allie: A UCI compliant chess engine
A gobang robot based on reinforcement learning.
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