Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking

Yujiao Zhu; Mingzhe Chen; Sihua Wang; Ye Hu; Yuchen Liu; Changchuan Yin

doi:10.1109/TMC.2024.3382913

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Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking

Magazine article

Peer reviewed

Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking

Yujiao Zhu, Mingzhe Chen, Sihua Wang, Ye Hu, Yuchen Liu and Changchuan Yin

IEEE transactions on mobile computing, Vol.23(12), pp.10787-10802

2024-12-01

DOI: https://doi.org/10.1109/TMC.2024.3382913

Appears in College Of Engineering - Latest Publications

Abstract

Localization

trajectory design

unmanned aerial vehicles

Z function decomposition based reinforcement learning

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Title: Collaborative Reinforcement Learning Based Unmanned Aerial Vehicle (UAV) Trajectory Design for 3D UAV Tracking
Creators: Yujiao Zhu - Beijing University of Posts and Telecommunications
Mingzhe Chen - University of Miami
Sihua Wang - Beijing University of Posts and Telecommunications
Ye Hu - University of Miami
Yuchen Liu - North Carolina State University
Changchuan Yin - Beijing University of Posts and Telecommunications
Publication Details: IEEE transactions on mobile computing, Vol.23(12), pp.10787-10802
Number of pages: 16
Grant note: 2009CB320407 / National Key Research and Development Program of China (http://data.elsevier.com/vocabulary/SciValFunders/501100012166) CX2022108 / Beijing University of Posts and Telecommunications (http://data.elsevier.com/vocabulary/SciValFunders/501100002766) L223027 / Natural Science Foundation of Beijing Municipality (501100004826) National Natural Science Foundation of China (http://data.elsevier.com/vocabulary/SciValFunders/501100001809) 61629101 / National Natural Science Foundation of China (501100001809) Beijing University of Posts and Telecommunications (http://data.elsevier.com/vocabulary/SciValFunders/501100002766) 61671086 / National Natural Science Foundation of China (501100001809) National Key Research and Development Program of China (http://data.elsevier.com/vocabulary/SciValFunders/501100012166) 61629101; 61671086 / National Natural Science Foundation of China (http://data.elsevier.com/vocabulary/SciValFunders/501100001809) L223027 / Natural Science Foundation of Beijing Municipality (http://data.elsevier.com/vocabulary/SciValFunders/501100004826)
Academic Unit: CoE - Industrial Engineering; CoE - Electrical & Computer Engineering; College of Engineering
Language: English
Resource Type: Magazine article
Record Identifier: 991032795906102976