# YoujiaZhang/AlphaGo-Zero-Gobang

<https://repo.masters-masters.com/en/repos/YoujiaZhang/AlphaGo-Zero-Gobang>

[Home](https://repo.masters-masters.com/en) › [YoujiaZhang](https://repo.masters-masters.com/en/owners/YoujiaZhang) › [AlphaGo-Zero-Gobang](https://repo.masters-masters.com/en/repos/YoujiaZhang/AlphaGo-Zero-Gobang)

YoujiaZhang/AlphaGo-Zero-Gobang has 111 stars on GitHub. Its RepoMasters card: Prototype tier. 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…

| Field | Value |
| --- | --- |
| Owner | [YoujiaZhang](https://repo.masters-masters.com/en/owners/YoujiaZhang) |
| Stars | 111 |
| Forks | 11 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | gobang, gui, mcts, deep-learning, residual-networks, alphazero, alphago, tensorflow, ai, gomuku |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [YoujiaZhang/AlphaGo-Zero-Gobang](https://github.com/YoujiaZhang/AlphaGo-Zero-Gobang) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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