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Title	Application Of Reinforcement Learning Algorithms And Game Theory To Optimize The Offloading Of A Mobile Edge Computing System
ID_Doc	9976
Authors	Konovalov M.D.; Uvarova L.A.
Year	2023
Published	Proceedings of the 2023 International Conference "Quality Management, Transport and Information Security, Information Technologies", IT and QM and IS 2023
DOI	http://dx.doi.org/10.1109/ITQMTIS58985.2023.10346400
Abstract	At the moment, Internet of Things technologies are widely used in industry, in the design of smart cities and digital twins. Due to the limited amount of computing resources on local mobile devices, cloud and edge computing technologies are widely used. This article provides an overview of algorithms based on game theory and reinforcement learning needed to solve the problem of offloading the system. © 2023 IEEE.
Author Keywords	game theory; MEC; offloading; reinforcement learning

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