policy
Reinforcement-Learning-by-Minimizing-Constraint-Violation
phalonneNana · PyTorch
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Overview
Name
Reinforcement-Learning-by-Minimizing-Constraint-Violation
Author
phalonneNana
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
This research aims to address the challenge of effectively representing logical safety constraints within the RL framework by introducing a novel violation measure, thereby enhancing the agent’s decision- making process in model-free RL using constrained Markov Decision Processes to adhere to the sa
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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