Kai Liang Tan

Robustifying Reinforcement Learning Agents via Action Space Adversarial Training

2020

Adoption of machine learning (ML)-enabled cyber-physical systems (CPS) are becoming prevalent in various sectors of modern society such as transportation, industrial, and power grids. Recent studies in deep reinforcement learning (DRL) have demonstrated its benefits …