most citedTuning Confidence Bound for Stochastic Bandits with Bandit Distance

1 citations · 1 across the 1 of their papers we have counts for

collaborators

1 paper

stat.ML2021★ 1 cited

Tuning Confidence Bound for Stochastic Bandits with Bandit Distance

Xinyu Zhang, Srinjoy Das, Ken Kreutz-Delgado

We propose a novel modification of the standard upper confidence bound (UCB) method for the stochastic multi-armed bandit (MAB) problem which tunes the confidence bound of a given…