Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning for UAV Routing in the Presence of Multiple Charging Stations

Published:2022 Issue: Volume: Page:1-15
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Fan Mingfeng¹^ORCID,Wu Yaoxin²,Liao Tianjun³,Cao Zhiguang⁴^ORCID,Guo Hongliang⁴^ORCID,Sartoretti Guillaume⁵,Wu Guohua¹^ORCID

Affiliation:

1. School of Traffic and Transportation Engineering, Central South University, China

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

3. Academy of Military Sciences, China

4. Institute for Infocomm Research (I2R), A*STAR, Singapore

5. Department of Mechanical Engineering, National University of Singapore, Singapore

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities of Central South University

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/ielx7/25/4356907/10002321.pdf?arnumber=10002321

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3. Collaborative computation offloading and wireless charging scheduling in multi-UAV-assisted MEC networks: A TD3-based approach;Computer Networks;2024-09

4. C-SPPO: A deep reinforcement learning framework for large-scale dynamic logistics UAV routing problem;Chinese Journal of Aeronautics;2024-09

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