Abstract: To endow robotic arms with enhanced autonomous obstacle avoidance and path planning capabilities in complex dynamic environments, deep reinforcement learning (DRL) methods have been widely ...

Abstract: This paper addresses the data-locality-aware task assignment and scheduling problem for distributed job executions. Our goal is to minimize job completion times without prior knowledge of ...