most citedNetwork Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning

11 citations · 12 across the 2 of their papers we have counts for

collaborators

2 papers

cs.NI2023★ 1 cited

CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing

Yongjie Xue, Yuru Zhang, Qiang Liu +2

Crowdsourcing data from connected and automated vehicles (CAVs) is a cost-efficient way to achieve high-definition maps with up-to-date transient road information. Achieving the ma…

cs.NI2023★ 11 cited

Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning

Tianlun Hu, Qi Liao, Qiang Liu +1

Deep reinforcement learning (DRL) has been increasingly employed to handle the dynamic and complex resource management in network slicing. The deployment of DRL policies in real ne…