https://github.com/kirillbobyrev/pabi

🤖 [WIP] Monte-Carlo Tree Search chess engine
https://github.com/kirillbobyrev/pabi

chess chess-engine machine-learning reinforcement-learning rust

Last synced: 2 months ago
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🤖 [WIP] Monte-Carlo Tree Search chess engine

• Host: GitHub
• URL: https://github.com/kirillbobyrev/pabi
• Owner: kirillbobyrev
• License: gpl-3.0
• Created: 2021-06-12T11:48:47.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-10-09T13:49:00.000Z (3 months ago)
• Last Synced: 2024-10-19T08:14:49.549Z (3 months ago)
• Topics: chess, chess-engine, machine-learning, reinforcement-learning, rust
• Language: Rust
• Homepage: https://kirillbobyrev.github.io/pabi/docs/pabi/
• Size: 4.39 MB
• Stars: 13
• Watchers: 4
• Forks: 1
• Open Issues: 63
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: .github/CODE_OF_CONDUCT.md

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README

        


  Pabi



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Pabi is a modern chess engine that is currently under development.

> [!WARNING]

> This engine is still very early in the development phase and is not in a

> functional state yet.

## Goals

Pabi is inspired by existing Chess and Go engines (mainly [lc0] and [KataGo]),

and the research that they are based on ([AlphaZero], [MuZero] and [MCTS]). Pabi

strives to be a high-quality modern engine.

Pabi strives to be **strong**. The ultimate goal is to enter the lists of top

chess engines and participate in tournaments, such as and [TCEC] and [CCC].

## Recipes

Most commands for development, building the engine, testing, checking for errors

and fuzzing it are supported as [just](https://github.com/casey/just) recipes.

See [justfile](/justfile) for a complete list of frequently used commands.

## Code map

For easier code navigation, see

## [Milestones]

- [ ] [Proof of Concept]

- [ ] [Stable]

- [ ] [Strong]

[AlphaZero]: https://en.wikipedia.org/wiki/AlphaZero

[MuZero]: https://deepmind.google/discover/blog/muzero-mastering-go-chess-shogi-and-atari-without-rules/

[CCC]: https://www.chess.com/computer-chess-championship

[KataGo]: https://github.com/lightvector/KataGo

[MCTS]: https://en.wikipedia.org/wiki/Monte_Carlo_tree_search

[Milestones]: https://github.com/kirillbobyrev/pabi/milestones

[Proof of Concept]: https://github.com/kirillbobyrev/pabi/milestone/1

[Stable]: https://github.com/kirillbobyrev/pabi/milestone/2

[Strong]: https://github.com/kirillbobyrev/pabi/milestone/3

[TCEC]: https://tcec-chess.com/

[lc0]: https://lczero.org/