Robust Safe Reinforcement Learning under Adversarial Disturbances

Zeyang Li, Chuxiong Hu, Shengbo Eben Li +2

Safety is a primary concern when applying reinforcement learning to real-world control tasks, especially in the presence of external disturbances. However, existing safe reinforcem…