Eventos

The sleeping bandits problem is a variant of the classical multi-armed bandit problem. In each of a sequence of rounds: an adversary selects a set of arms (actions) which are available (unavailable arms are "asleep"), the learning algorithm (Learner) then pulls an arm, and finally the adversary sets the loss of each available arm.