3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.DC2020★ 3 cited
Distributed Resource Scheduling for Large-Scale MEC Systems: A Multi-Agent Ensemble Deep Reinforcement Learning with Imitation Acceleration
Feibo Jiang, Li Dong, Kezhi Wang +2
We consider the optimization of distributed resource scheduling to minimize the sum of task latency and energy consumption for all the Internet of things devices (IoTDs) in a large…
cs.LG2020
Stacked Auto Encoder Based Deep Reinforcement Learning for Online Resource Scheduling in Large-Scale MEC Networks
Feibo Jiang, Kezhi Wang, Li Dong +2
An online resource scheduling framework is proposed for minimizing the sum of weighted task latency for all the Internet of things (IoT) users, by optimizing offloading decision, t…
eess.SP2019
Deep Learning Based Joint Resource Scheduling Algorithms for Hybrid MEC Networks
Feibo Jiang, Kezhi Wang, Li Dong +3
In this paper, we consider a hybrid mobile edge computing (H-MEC) platform, which includes ground stations (GSs), ground vehicles (GVs) and unmanned aerial vehicle (UAVs), all with…