Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization

Le Xu, Jiayu Chen

Offline reinforcement learning (RL) is vulnerable to real-world data corruption, with even robust algorithms failing under challenging observation and mixture corruptions. We posit…