# halfrost/threes-ai

<https://repo.masters-masters.com/en/repos/halfrost/threes-ai>

[Home](https://repo.masters-masters.com/en) › [halfrost](https://repo.masters-masters.com/en/owners/halfrost) › [threes-ai](https://repo.masters-masters.com/en/repos/halfrost/threes-ai)

halfrost/threes-ai has 167 stars on GitHub. Its RepoMasters card: Prototype tier. 🏆 Threes\! AI: deck-aware expectimax, N-tuple TD learning, and AlphaZero

| Field | Value |
| --- | --- |
| Owner | [halfrost](https://repo.masters-masters.com/en/owners/halfrost) |
| Stars | 167 |
| Forks | 40 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | GPL-3.0 |
| Created | 2017 |
| Topics | 2048, alphazero, artificial-intelligence, bitboard, board-game-ai, deep-reinforcement-learning, expectimax, game-ai, game-engine, golang |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [halfrost/threes-ai](https://github.com/halfrost/threes-ai) |

## Repository

🏆 Threes\! AI: deck-aware expectimax, N-tuple TD learning, and AlphaZero

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.