Robust Policy Gradient against Strong Data Corruption

Xuezhou Zhang, Yiding Chen, Xiaojin Zhu, Wen Sun

Abstract: We study the problem of robust reinforcement learning under adversarial corruption on both rewards and transitions. Our attack model assumes an \textit{adaptive} adversary who can arbitrarily corru...