Understanding Adversarial Attacks on Observations in Deep Reinforcement Learning

You Qiaoben, Chengyang Ying, Xinning Zhou +3

Deep reinforcement learning models are vulnerable to adversarial attacks that can decrease a victim's cumulative expected reward by manipulating the victim's observations. Despite…