Three-Dimension Trajectory Design for Multi-UAV Wireless Network With Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Three-Dimension Trajectory Design for Multi-UAV Wireless Network With Deep Reinforcement Learning

Published:2021-01 Issue:1 Volume:70 Page:600-612
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Zhang Wenqi^ORCID,Wang Qiang^ORCID,Liu Xiao^ORCID,Liu Yuanwei^ORCID,Chen Yue

Funder

Beijing Municipal Natural Science Foundation-Haidian

Beijing Municipal Science and Technology Commission

Beijing Natural Science Foundation

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/ielx7/25/9353678/09310353.pdf?arnumber=9310353

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3. Energy Consumption Optimization of UAV-Assisted Traffic Monitoring Scheme With Tiny Reinforcement Learning;IEEE Internet of Things Journal;2024-06-15

4. Multi-agent deep reinforcement learning for trajectory planning in UAVs-assisted mobile edge computing with heterogeneous requirements;Computer Networks;2024-06

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