2025
Leveraging Constraint Violation Signals for Action Constrained Reinforcement Learning
AAAI 2025technical
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 projection layer after the policy network to correct the action. However projection-based methods suffer from issues li…