# lucylow/Deep-Learning-Mahjong---

<https://repo.masters-masters.com/en/repos/lucylow/Deep-Learning-Mahjong--->

[Home](https://repo.masters-masters.com/en) › [lucylow](https://repo.masters-masters.com/en/owners/lucylow) › [Deep-Learning-Mahjong---](https://repo.masters-masters.com/en/repos/lucylow/Deep-Learning-Mahjong---)

lucylow/Deep-Learning-Mahjong--- has 101 stars on GitHub. Its RepoMasters card: Prototype tier. Reinforcement learning (RL) implementation of imperfect…

| Field | Value |
| --- | --- |
| Owner | [lucylow](https://repo.masters-masters.com/en/owners/lucylow) |
| Stars | 101 |
| Forks | 8 |
| Language | [TypeScript](https://repo.masters-masters.com/en/languages/typescript) |
| License | None |
| Created | 2019 |
| Topics | mahjong, deep-learning-mahjong, battle-mahjong, deep-neural-network, reinforcement-learning, game-play, supervised-learning, supervised-machine-learning, reinforcement, computer-vision |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [lucylow/Deep-Learning-Mahjong---](https://github.com/lucylow/Deep-Learning-Mahjong---) |

## Repository

Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states https://github.com/lucylow/MahjongArenaMobileAppDesign // https://canva.link/b0gtve0zdkke1na

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.