README.md

metadata

license: mit
tags:
  - chess
  - pytorch
  - reinforcement-learning
  - behavioral-cloning

Chess Expert

A deep-learning chess model that learns from grandmaster games (behavioral cloning, à la Maia). A residual CNN with a policy head (which move) and a value head (how good the position is), plus an optional shallow look-ahead search so it avoids hanging pieces.

• Code: https://github.com/AhPro7/chess-expert
• chess_expert.pt — load with the repo's src.play.ChessEngine.
• logs/ — TensorBoard training curves (tensorboard --logdir logs).

Trained on CPU-friendly inference; see the repo README for how to play (terminal or a clickable Colab board).