metadata
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