---
tags:
- chess
- pytorch
- alphazero
- game
---

# Chess AlphaZero (PyTorch)

Chess policy & value network trained from scratch on 1.2M positions from Lichess.

## Architecture
- Residual CNN (6 blocks, 128 filters, 10M parameters)
- Policy head: move probability over 4096 possible moves
- Value head: win probability in [-1, +1]
- MCTS: 100 simulations per move

## Training
- Dataset: Lichess (20,000+ games, 1.2M positions)
- Epochs: 20
- Final validation accuracy: 42.7%
- Framework: PyTorch