Research on deep reinforcement learning in Internet of vehicles edge computing based on Quasi-Newton method

Research on deep reinforcement learning in Internet of vehicles edge computing based on Quasi-Newton method

To address the issues of ineffective task offloading decisions caused by multitasking and resource constraints in vehicular networks, the Quasi-Newton method deep reinforcement learning dual-phase online offloading (QNRLO) algorithm was proposed. The algorithm was designed by initially incorporating...

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Bibliographic Details
Main Authors: ZHANG Jianwu, LU Zetao, ZHANG Qianhua, ZHAN Ming
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2024-05-01
Series:Tongxin xuebao
Subjects:
Internet of vehicles
task offloading
deep reinforcement learning
Quasi-Newton method
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024101/
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