IEEE

Deep Reinforcement Learning Based Task-Oriented Communication in Multi-Agent Systems

Abstract: Driven by the increasing demand for executing intelligent tasks in various fields, multi-agent system (MAS) has drawn significant attention recently. An MAS relies on efficient communication ...
IEEE

Deep Reinforcement Learning for Computation and Communication Resource Allocation in Multiaccess MEC Assisted Railway IoT Networks

Abstract: Multi-access mobile edge computing (MEC) is envisioned as a key enabling technology to support compute-intensive and delay-sensitive applications in railway Internet of Things (RIoT) ...