@phdthesis{besson:tel-02491380,
TITLE = {Multi-Players Bandit Algorithms for Internet of Things Networks},
AUTHOR = {Besson, Lilian},
URL = {https://theses.hal.science/tel-02491380},
NUMBER = {2019CSUP0005},
SCHOOL = {CentraleSup{\'e}lec},
YEAR = {2019},
MONTH = Nov, KEYWORDS = {Internet of Things (IoT) ; Cognitive Radio ; Sequential Learning ; Reinforcement Learning ; Multi-Armed Bandits (MAB) ; Multi-Player Multi-Armed Bandits ; Non-Stationary Multi-Armed Bandits ; Internet des Objets (IdO) ; Radio Intelligente ; Apprentissage s{\'e}quentiel ; Apprentissage par renforcement ; Bandits multi-bras (BMB) ; Bandits multi-bras multi-joueurs ; Bandits multi-bras non stationnaires},
TYPE = {Theses},
PDF = {https://theses.hal.science/tel-02491380/file/2019_BESSON_archivage.pdf},
HAL_ID = {tel-02491380},
HAL_VERSION = {v1},
}