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cs.LG2025
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning
Janaka Chathuranga Brahmanage, Jiajing Ling, Akshat Kumar
In many RL applications, ensuring an agent's actions adhere to constraints is crucial for safety. Most previous methods in Action-Constrained Reinforcement Learning (ACRL) employ a…
cs.LG2024
Safe Reinforcement Learning with Learned Non-Markovian Safety Constraints
Siow Meng Low, Akshat Kumar
In safe Reinforcement Learning (RL), safety cost is typically defined as a function dependent on the immediate state and actions. In practice, safety constraints can often be non-M…