Zhi-Liang Fan

CAAP: Context-Adaptive Adversarial Policy Learning Under Partial Observability

Adversarial policies provide a practical means of stress-testing reinforcement-learning agents by inducing failure through environment interactions without modifying the deployed victim policy. Learning effective adversarial policies under partial observability is challenging because the attacker must act from incomple...