AlphaGo-Zero-Gobang 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
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Updated
May 29, 2025 - Python
AlphaGo-Zero-Gobang 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
Extension of OpenAI Gym that implements multiple two-player zero-sum 2-dimension board games
My implementation of AlphaZero for gomoku (Wu Zi Qi, 五子棋); Poorman's AlphaZero
Artificial Intelligence with Gomuku
An implementation of the AlphaZero algorithm for Gobang (also called Gomoku or Five in a Row)
A browser-based Gobang game with multiple AI opponents, including a neural network powered AlphaZero-style agent.
Gomoku game implementation using custom logics (strategy) and deep learning.
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