11 citations · 24 across the 5 of their papers we have counts for
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eess.SP2022
IRS Assisted NOMA Aided Mobile Edge Computing with Queue Stability: Heterogeneous Multi-Agent Reinforcement Learning
Jiadong Yu, Yang Li, Xiaolan Liu +3
By employing powerful edge servers for data processing, mobile edge computing (MEC) has been recognized as a promising technology to support emerging computation-intensive applicat…
eess.SP2020★ 4 cited
Multi-agent Reinforcement Learning for Resource Allocation in IoT networks with Edge Computing
Xiaolan Liu, Jiadong Yu, Yue Gao
To support popular Internet of Things (IoT) applications such as virtual reality, mobile games and wearable devices, edge computing provides a front-end distributed computing arche…
eess.SP2019★ 11 cited
Resource Allocation for Edge Computing in IoT Networks via Reinforcement Learning
Xiaolan Liu, Zhijin Qin, Yue Gao
In this paper, we consider resource allocation for edge computing in internet of things (IoT) networks. Specifically, each end device is considered as an agent, which makes its dec…