policy
BetaZero
YamArtur · PyTorch
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Overview
Name
BetaZero
Author
YamArtur
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
BetaZero is an AlphaZero-inspired chess system: a PyTorch policy–value CNN trained by self-play with MCTS, producing move probabilities and position value. It reads a board via an Arduino-driven 8×8 LDR sensor matrix and commands a servo robotic arm to play the selected moves end-to-end. Includes pe
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
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Datasets that reference this policy
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