ChessML Documentation
Welcome to the ChessML documentation! This comprehensive guide covers chess programming concepts, from fundamental board representation to advanced search techniques.
About ChessML
ChessML is a chess engine written in OCaml that demonstrates modern chess programming techniques. Whether you’re new to chess programming or looking to understand specific optimizations, these guides will help you build a strong chess engine.
Learning Path
🎯 Beginner - Build a Basic Engine
Start with the fundamentals:
- Bitboards - Represent the board efficiently
- Alpha-Beta Pruning - Basic search algorithm
- Evaluation Function - Material + piece-square tables
Result: ~1500-1800 Elo engine
🚀 Intermediate - Add Intelligence
Improve your engine’s strength:
- Zobrist Hashing - Position keys for caching
- Transposition Tables - Cache search results
- Move Ordering - Try best moves first 7. Quiescence Search - Tactical stability
Result: ~2000-2200 Elo engine
⚡ Advanced - Optimize Performance
Make your engine competitive:
- Magic Bitboards - Fast attack generation
- Null Move Pruning - Aggressive search reduction
- Late Move Reductions - Search deeper efficiently
- Static Exchange Evaluation - Better capture evaluation
- Opening Books - Opening knowledge
Result: ~2400+ Elo engine
Quick Links
- Chess Programming Concepts Guide - Complete overview
- GitHub Repository - Source code
- Contributing Guide - How to contribute
Documentation Structure
Our documentation is organized into clear categories:
- Core Concepts - Fundamental board representation and data structures
- Search Techniques - Algorithms for finding the best move
- Move Ordering - Optimizing search efficiency
- Evaluation - Judging chess positions
Each guide includes:
- Clear explanations of concepts
- Implementation examples in OCaml
- Elo impact estimates
- Common pitfalls and solutions
Ready to build a chess engine? Start with the Chess Programming Guide!
Happy Chess Programming! ♟️