datasets for computer go
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Updated
Jun 12, 2024 - C++
datasets for computer go
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
AlphaZero based engine for the game of Go (圍棋/围棋).
Book repository for AlphaGo Simplified (CRC Press 2024). Implement ideas behind Deep Blue (rule-based AI) and AlphaGo (rule-based AI + Deep Learning) in three simple games: Last Coin Standing, Tic Tac Toe, and Connect Four.
A very fast implementation of AlphaZero, applied to games like Splendor, Santorini, The Little Prince, … Browser version available
A Deep Learning UCI-Chess Variant Engine written in C++ & Python 🦜
Computer go engine using Monte-Carlo Tree Search written in Python3.
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
deep-learning agent inspired by alpha go
A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games
(Yet Another) AlphaZero-based Go Engine
基於深度學習的 GTP 圍棋(围棋)引擎,KGS 指引文件以及演算法教學。
蒙特卡洛树搜索以及极大极小+α-β剪枝算法实现五子棋
Java based alpha zero reinforcement learning. The generic base module allows implementation of any adversary board game. Example implementation for Tic Tac Toe.
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