Deep Reinforcement Learning Empowered Resource Allocation in Vehicular Fog Computing-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning Empowered Resource Allocation in Vehicular Fog Computing

Published:2023 Issue: Volume: Page:1-12
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Sun Lijun¹,Liu Mingzhi²,Guo Jiachen¹,Yu Xu³,Wang Shangguang⁴

Affiliation:

1. College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao, China

2. Ocean University of China, Qingdao, China

3. Qingdao Institute of Software, China University of Petroleum, East China, Qingdao, China

4. School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China

Funder

National Natural Science Foundation of China

Open Foundation of State key Laboratory of Networking and Switching Technology

Natural Science Foundation of Qingdao Municipality

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/4356907/10339872.pdf?arnumber=10339872

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. A Comprehensive Review of AI Techniques for Resource Management in Fog Computing: Trends, Challenges, and Future Directions;IEEE Access;2024

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