Rethinking Adversarial Attacks in Reinforcement Learning from Policy Distribution Perspective

Tianyang Duan, Zongyuan Zhang, Zheng Lin +7

Deep Reinforcement Learning (DRL) suffers from uncertainties and inaccuracies in the observation signal in realworld applications. Adversarial attack is an effective method for eva…