Robustifying Reinforcement Learning Agents via Action Space Adversarial Training

14 Jul 2020Kai Liang TanYasaman EsfandiariXian Yeow LeeAakankshaSoumik Sarkar

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 in a large variety of data-driven decisions and control applications... (read more)

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