Deep Reinforcement Learning-Based Energy-Efficient Edge Computing for Internet of Vehicles-Reference-Cited by-同舟云学术

Deep Reinforcement Learning-Based Energy-Efficient Edge Computing for Internet of Vehicles

Author:

Kong Xiangjie¹^ORCID,Duan Gaohui²^ORCID,Hou Mingliang²^ORCID,Shen Guojiang¹^ORCID,Wang Hui²^ORCID,Yan Xiaoran³^ORCID,Collotta Mario⁴^ORCID

Affiliation:

1. College of Computer Science and Technology, Zhejiang University of Technology, Hangzhou, China

2. School of Software, Dalian University of Technology, Dalian, China

3. Research Institute of Artificial Intelligence, Zhejiang Lab, Hangzhou, China

4. Faculty of Engineering and Architecture, Kore University of Enna, Enna, Italy

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Key Research and Development Program of Zhejiang Province

Fundamental Research Funds for the Provincial Universities of Zhejiang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference30 articles.

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