56 citations · 90 across the 6 of their papers we have counts for
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cs.NI2018
Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings
Rémi Bonnefoi, Lilian Besson, Christophe Moy +2
Setting up the future Internet of Things (IoT) networks will require to support more and more communicating devices. We prove that intelligent devices in unlicensed bands can use M…
stat.ML2018★ 56 cited
What Doubling Tricks Can and Can't Do for Multi-Armed Bandits
Lilian Besson, Emilie Kaufmann
An online reinforcement learning algorithm is anytime if it does not need to know in advance the horizon T of the experiment. A well-known technique to obtain an anytime algorithm…