PNAct trains a safe RL agent to take unsafe actions only when a hidden trigger is present, while keeping normal safe behavior and reward when the trigger is absent.
Enhancing the robustness of qmix against state-adversarial attacks.Neurocomputing, 572:127191,
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PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning
PNAct trains a safe RL agent to take unsafe actions only when a hidden trigger is present, while keeping normal safe behavior and reward when the trigger is absent.