IEEE

Multi-Agent Deep Reinforcement Learning for Device-enhanced Distributed Task Scheduling in Terminal-edge Collaborative Computing Networks

Abstract: Device-enhanced mobile edge computing (MEC) is an emerging technology designed to handle intensive and delay-sensitive tasks through device-to-device (D2D) communication. In this paper, we ...
IEEE

Deep Reinforcement Learning-Based Collaborative Computation Offloading for Distributed Vehicular Edge Computing

Abstract: In Vehicular Edge Computing (VEC), apart from the Road Side Units (RSUs) that can undertake the computation, smart vehicles that incorporate high-end multi-core processors into On-Board ...