README.md

---
license: mit
tags:
- chess
- reinforcement-learning
- pytorch
- safetensors
---

#Chess Engine

Custom chess neural network trained on high-elo Lichess games.

## Architecture
- **Backbone**: ResNet with 10 blocks, 128 channels
- **Parameters**: 44.98M
- **Policy Head**: 20480 move logits
- **Value Head**: Win probability [-1, 1]

## Training
- **Phase 1**: Supervised learning on 1800+ Elo games
- **Phase 2**: Self-play reinforcement learning

## Board Encoding
- 19 input planes (12 piece planes + side to move + castling + en passant + move clock)
- 8x8 board representation

## Move Encoding
- Flat index: (from_square * 64 + to_square) * 5 + promotion_type
- Total vocabulary: 20480 moves