# michaelnny/alpha\_zero

<https://repo.masters-masters.com/en/repos/michaelnny/alpha_zero>

[Home](https://repo.masters-masters.com/en) › [michaelnny](https://repo.masters-masters.com/en/owners/michaelnny) › [alpha\_zero](https://repo.masters-masters.com/en/repos/michaelnny/alpha_zero)

michaelnny/alpha\_zero has 194 stars on GitHub. Its RepoMasters card: Prototype tier. A PyTorch implementation of DeepMind's AlphaZero agent to play Go and…

| Field | Value |
| --- | --- |
| Owner | [michaelnny](https://repo.masters-masters.com/en/owners/michaelnny) |
| Stars | 194 |
| Forks | 41 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | alphago-zero, alphazero, gomoku, alphago, go, reinforcement-learning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [michaelnny/alpha\_zero](https://github.com/michaelnny/alpha_zero) |

## Repository

A PyTorch implementation of DeepMind's AlphaZero agent to play Go and Gomoku board games

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

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.