Deep Deterministic Policy Gradient-Based Intelligent Task Offloading for Vehicular Computing With Priority Experience Playback-Reference-Cited by-同舟云学术

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Deep Deterministic Policy Gradient-Based Intelligent Task Offloading for Vehicular Computing With Priority Experience Playback

Published:2024-07 Issue:7 Volume:73 Page:10655-10667
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Guo Yongan¹^ORCID,Ma Derui¹,She Hao¹^ORCID,Gui Guan¹^ORCID,Yuen Chau²^ORCID,Sari Hikmet¹^ORCID,Adachi Fumiyuki³^ORCID

Affiliation:

1. College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China

2. School of Electrical and Electronics Engineering, Nanyang Technological University, Singapore, Singapore

3. International Research Institute of Disaster Science (IRIDeS), Tohoku University, Sendai, Japan

Funder

Frontier Leading Technology Basic Research Project of Jiangsu Province

Modern Agricultural Machinery Equipment and Technology Demonstration Project of Jiangsu Province

Agricultural Science and Technology Independent Innovation Fund of Jiangsu Province CX

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/25/10606142/10478778.pdf?arnumber=10478778

Reference41 articles.

1. An Adaptive Wireless Virtual Reality Framework in Future Wireless Networks: A Distributed Learning Approach

2. Machine Learning for Space–Air–Ground Integrated Network Assisted Vehicular Network: A Novel Network Architecture for Vehicles

3. Comprehensive Survey on Machine Learning in Vehicular Network: Technology, Applications and Challenges

4. Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System

5. Mobile Edge Computing: A Survey

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. AI-Enabled Healthcare and Enhanced Computational Resource Management With Digital Twins Into Task Offloading Strategies;IEEE Access;2024

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