Achieving Fairness in Stochastic Multi-armed Bandit Problem

27 May 2019Vishakha PatilGanesh GhalmeVineet NairY. Narahari

We study an interesting variant of the stochastic multi-armed bandit problem, called the Fair-SMAB problem, where each arm is required to be pulled for at least a given fraction of the total available rounds. We investigate the interplay between learning and fairness in terms of a pre-specified vector denoting the fractions of guaranteed pulls... (read more)

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