A Generic Spatiotemporal Scheduling for Autonomous UAVs: A Reinforcement Learning-Based Approach

A Generic Spatiotemporal Scheduling for Autonomous UAVs: A Reinforcement Learning-Based Approach

Considerable attention has been given to leverage a variety of smart city applications using unmanned aerial vehicles (UAVs). The rapid advances in artificial intelligence can empower UAVs with autonomous capabilities allowing them to learn from their surrounding environment and act accordingly with...

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Bibliographic Details
Main Authors: Omar Bouhamed, Hakim Ghazzai, Hichem Besbes, Yehia Massoud
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
Reinforcement learning
scheduling solution
smart city
unmanned aerial vehicles (UAVs)
vehicle routing problem
Online Access:https://ieeexplore.ieee.org/document/9028197/

Internet

https://ieeexplore.ieee.org/document/9028197/

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