Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_{\infty }$ Lipschitz Policy Networks

Buqing Nie, Jingtian Ji, Yangqing Fu +1

Deep Reinforcement Learning (DRL) has achieved remarkable advances in sequential decision tasks. However, recent works have revealed that DRL agents are susceptible to slight pertu…