most citedRegret lower bounds and extended Upper Confidence Bounds policies in stochastic multi-armed bandit problem

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stat.ML2011★ 3 cited

Regret lower bounds and extended Upper Confidence Bounds policies in stochastic multi-armed bandit problem

Antoine Salomon, Jean-Yves Audibert, Issam El Alaoui

This paper is devoted to regret lower bounds in the classical model of stochastic multi-armed bandit. A well-known result of Lai and Robbins, which has then been extended by Burnet…