policy
checkers-reinforcement-learning
aaronwtr · PyTorch
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Overview
Name
checkers-reinforcement-learning
Author
aaronwtr
Framework
PyTorch
License
unknown
Skill type
navigation
Evidence level
untested
Task description
In this project, a working game of checkers is developed in Python, implementing a minimax AI and a reinforcement learning AI agent. The idea is that the RL agent can play against minimax to explore state space and learn best practices. After this initial training setup, we can utilize self learn to
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
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Datasets that reference this policy
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