Deep reinforcement learning for trajectory path planning and distributed inference in resource-constrained UAV swarms

MA Dhuheir, E Baccour, A Erbad… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The deployment flexibility and maneuverability of unmanned aerial vehicles (UAVs)
increased their adoption in various applications, such as wildfire tracking, border monitoring …
被引用次数：19 相关文章

Deep Reinforcement Learning for Trajectory Path Planning and Distributed Inference in Resource-Constrained UAV Swarms

M Dhuheir, E Baccour, A Erbad… - arXiv e …, 2022 - ui.adsabs.harvard.edu
The deployment flexibility and maneuverability of Unmanned Aerial Vehicles (UAVs)
increased their adoption in various applications, such as wildfire tracking, border monitoring …

Deep Reinforcement Learning for Trajectory Path Planning and Distributed Inference in Resource-Constrained UAV Swarms

M Dhuheir, E Baccour, A Erbad, SS Al-Obaidi… - arXiv preprint arXiv …, 2022 - arxiv.org
The deployment flexibility and maneuverability of Unmanned Aerial Vehicles (UAVs)
increased their adoption in various applications, such as wildfire tracking, border monitoring …
[PDF] researchgate.net

[PDF][PDF] Deep Reinforcement Learning for Trajectory Path Planning and Distributed Inference in Resource-Constrained UAV Swarms

M Dhuheir, E Baccour, A Erbad… - IEEE INTERNET OF …, 2023 - researchgate.net
The deployment flexibility and maneuverability of unmanned aerial vehicles (UAVs)
increased their adoption in various applications, such as wildfire tracking, border monitoring …