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chess-expert-v2
Ahmed007/chess-expert-v2
chess-expert-v2 is a reinforcement learning model from Ahmed007. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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…
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Updated Jul 27, 2026
Repo size
17 MB
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.pt14.1 MB · 83%
At a glance
- Task
- Reinforcement Learning
- License
- mit
- Access
- Public
- Created
- Jul 26, 2026
- Updated
- Jul 27, 2026
- SHA
- d19424a2
Model card
From the Hugging Face model README
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'ssrc.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).
- Task
- Reinforcement Learning
- License
- mit
- Created
- Jul 26, 2026
- Updated
- Jul 27, 2026