| 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). | |