phalonneNana/Reinforcement-Learning-by-Minimizing-Constraint-Violation

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 safety constraints.

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