Optimizing Search and Rescue UAV Connectivity in Challenging Terrain Through Multi Q-Learning

Qazzaz, M.M.H., Zaidi, S.A.R. orcid.org/0000-0003-1969-3727, McLernon, D.C. et al. (2 more authors) (2024) Optimizing Search and Rescue UAV Connectivity in Challenging Terrain Through Multi Q-Learning. In: 2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM). 2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM), 23-25 Jul 2024, Leeds, UK. IEEE ISBN 979-8-3503-7787-3

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Item Type: Proceedings Paper
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Keywords: Search and Rescue, Cellular connected UAVs, SAR, path planning, UAVs, Reinforcement Learning, Q learning
Dates:
  • Published: 5 September 2024
  • Published (online): 5 September 2024
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 12 Mar 2025 11:21
Last Modified: 12 Mar 2025 11:21
Published Version: https://ieeexplore.ieee.org/document/10656603
Status: Published
Publisher: IEEE
Identification Number: 10.1109/wincom62286.2024.10656603
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