Xuezhou_zhang Robust Policy Gradient Against Strong Data Corruption 2021
[TOC] Title: Robust Policy Gradient Against Strong Data Corruption Author: Xuezhou Zhang et. al. Publish Year: 2021 Review Date: Tue, Dec 27, 2022 Summary of paper Abstract Contribution the author utilised a SVD-denoising technique to identify and remove the possible reward perturbations this approach gives a robust RL algorithm Limitation This approach only solve the attack perturbation that is not consistent. (i.e. not stealthy) Some key terms Policy gradient methods...