YoujiaZhang / AlphaGo-Zero-Gobang

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

Date Created 2021-12-02 (3 years ago)

Commits 51 (last one about a year ago)

Stargazers 80 (0 this week)

Watchers 2 (0 this week)

Forks 8

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RepositoryStats indexes 589,134 repositories, of these YoujiaZhang/AlphaGo-Zero-Gobang is ranked #339,400 (42nd percentile) for total stargazers, and #481,361 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #63,639/117,584.

YoujiaZhang/AlphaGo-Zero-Gobang is also tagged with popular topics, for these it's ranked: deep-learning (#5,619/8438), ai (#2,368/3952), tensorflow (#1,625/2246), gui (#1,024/1476)

Other Information

YoujiaZhang/AlphaGo-Zero-Gobang has Github issues enabled, there are 5 open issues and 3 closed issues.

All Topics

ai gui mcts gobang gomuku alphago alphazero tensorflow deep-learning residual-networks

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2 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-12-02 @ 05:18am, id: 434067758 / R_kgDOGd9ZLg