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README.md

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+---
+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