Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing-Reference-Cited by-同舟云学术

Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing

Author:

Zhao Nan¹^ORCID,Ye Zhiyang¹,Pei Yiyang²^ORCID,Liang Ying-Chang³^ORCID,Niyato Dusit⁴^ORCID

Affiliation:

1. Hubei Collaborative Innovation Center for High-Efficiency Utilization of Solar Energy, Hubei University of Technology, Wuhan, China

2. Singapore Institute of Technology, Singapore

3. Center for Intelligent Networking and Communications (CINC), University of Electronic Science and Technology of China (UESTC), Chengdu, China

4. School of Computer Science and Engineering, Nanyang Technological University, Singapore

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Key Areas of Research and Development Program of Guangdong Province, China

Science and Technology Development Fund, Macau SAR

Key Research and Development Plan of Hubei Province

Project 211

National Research Foundation, Singapore, under its the AI Singapore Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

Reference36 articles.

2. Addressing function approximation error in actor-critic methods;fujimoto;arXiv 1802 09477,2018

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