Hongyu Hè

ReGuard framework identifies and protects RL network controllers from worst-case scenarios

Researchers have developed ReGuard, a new framework designed to identify and mitigate worst-case performance degradation in Reinforcement Learning (RL)-based network controllers. This framework addresses the challenge t…