| 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 | |