Multi-agent Reinforcement Learning-based Resource Allocation Scheme for UAV-assisted Internet of Remote Things Systems-Reference-Cited by-同舟云学术

Multi-agent Reinforcement Learning-based Resource Allocation Scheme for UAV-assisted Internet of Remote Things Systems

Author:

Lee Donggu¹^ORCID,Sun Young Ghyu²^ORCID,Kim Soo Hyun²,Kim Jae-Hyun³^ORCID,Shin Yoan⁴^ORCID,Kim Dong In⁵^ORCID,Kim Jin Young²^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, North Carolina State University, NC, USA

2. Department of Electronic Convergence Engineering, Kwangwoon University, Seoul, South Korea

3. Department of Electrical and Computer Engineering, Ajou University, Suwon, South Korea

4. School of Electronic Engineering, Soongsil University, Seoul, South Korea

5. Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, South Korea

Funder

Ministry of Science and ICT, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

Reference36 articles.

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3. Fully decentralized multi-agent reinforcement learning with networked agents;zhang;Proc Int Conf Mach Learn,2018

4. Multi-agent reinforcement learning: A selective overview of theories and algorithms;zhang;arXiv 1911 10635,2019

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