Abstract: Model-based reinforcement learning (RL) aims to learn the underlying dynamics of a given environment. The success of most existing works is built on the critical assumption that the dynamic ...

1 Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China 2 Department of Radiology, Xichang People’s Hospital, Liangshan, Sichuan, China Purpose: To ...

Abstract: In large-scale edge computing networks, efficient task scheduling is essential for applications with stringent requirements on reliability and low latency, such as autonomous driving and ...