Low Complexity Online RL Enabled UAV Trajectory Planning Considering Connectivity and Obstacle Avoidance Constraints

Qazzaz, M.M.H., Zaidi, S.A., McLernon, D. et al. (2 more authors) (2023) Low Complexity Online RL Enabled UAV Trajectory Planning Considering Connectivity and Obstacle Avoidance Constraints. In: 2023 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom). 2023 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 04-07 Jul 2023, Istanbul, Turkey. IEEE , pp. 82-89. ISBN 979-8-3503-3783-9

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Keywords: Cellular connected UAVs, Delivery, Trajectory planning, UAVs, Reinforcement Learning, OpenAI Gym
Dates:
  • Published: 6 November 2023
  • Published (online): 6 November 2023
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: 04 Jan 2024 13:41
Last Modified: 04 Jan 2024 13:41
Published Version: https://ieeexplore.ieee.org/document/10299738
Status: Published
Publisher: IEEE
Identification Number: 10.1109/blackseacom58138.2023.10299738
Open Archives Initiative ID (OAI ID):

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