license: mit
language:
- en
datasets:
- ethanjtang/PAWN-piece-value-datasets
tags:
- chess
- piece-value
- piece-ablation
- mlp-predictor
- cnn-autoencoder
- unsupervised-representation-learning
- contextual-prediction
PAWN: Piece Value Analysis with Neural Networks
arXiv LINK COMING SOON
Best-performing MLP and MLP+CNN piece value prediction models from the research paper PAWN: Piece Value Analysis with Neural Networks.
We define piece value as the difference in Stockfish evaluation between the original position and the position with that piece removed.
Models
MLP (MC-Large) — Best MLP model trained on Dataset MC-Large (6,925 Magnus Carlsen games, 11.7M piece value entries).
MLP (TF) — Best MLP model trained on Dataset TF (7,656 GM-level Classical games, 12.3M piece value entries).
MLP+CNN (MC-Large) — Best MLP+CNN model trained on Dataset MC-Large.
MLP+CNN (TF) — Best MLP+CNN model trained on Dataset TF.
Datasets/Usage
Training Data — HF: ethanjtang/PAWN-datasets
Training Loop — GitHub: ethanjtang/PAWN/sample_run
Model Inference — GitHub: ethanjtang/PAWN/PAWN_demonstration.ipynb
Citation
CITATION COMING SOON