Abstract: Modern communication networks have to meet the performance requirements of contemporary industrial control systems (ICSs), which are increasingly being connected to the external Internet.

Abstract: Given the availability of more comprehensive measurement data in modern power systems, reinforcement learning (RL) has gained significant interest in ...

This paper proposes an exploration-efficient deep reinforcement learning with reference (DRLR) policy framework for learning robotics tasks incorporating demonstrations. The DRLR framework is ...

An overview of our research on RLAnything. In this work, we propose RLAnything, a reinforcement learning framework that dynamically optimizes each component through closed-loop optimization, ...