PhD_thesis__Lilian_Besson.xmpdata

\Author{Lilian Besson}
\Title{Multi-players Bandit Algorithms for Internet of Things Networks}
\Keywords{Internet of Things (IoT)\sep Cognitive Radio\sep Low Power Wide Area Networks\sep Learning Theory\sep Collision Mitigation Sequential Learning\sep Reinforcement Learning\sep Multi-Armed Bandits (MAB)\sep Decentralized Learning\sep Multi-Player Multi-Armed Bandits\sep change-point Detection\sep Non-Stationary Multi-Armed Bandits\sep Doubling Tricks}
\Subject{This document is the PhD thesis of Lilian Besson. For more details, see https://perso.crans.org/besson/me/ or https://GitHub.com/Naereen/phd-thesis/. This document is released under the MIT open-source License, see https://lbesson.mit-license.org/. Copyright 2016-2019, Lilian Besson}
\PublicationType{thesis}
\Copyright{This document is released under the MIT open-source License, see https://lbesson.mit-license.org/. Copyright 2016-2019, Lilian Besson}
\CopyrightURL{https://github.com/Naereen/phd-thesis}
\Copyrighted{True}
\Publisher{CentraleSupélec (campus de Rennes)}
\setRGBcolorprofile{sRGB_IEC61966-2-1_black_scaled.icc}{sRGB_IEC61966-2-1_black_scaled}{sRGB IEC61966 v2.1 with black scaling}{http://www.color.org}