79 citations · 182 across the 17 of their papers we have counts for
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cs.LG2015
Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits
Alexandra Carpentier, Alessandro Lazaric, Mohammad Ghavamzadeh +3
In this paper, we study the problem of estimating uniformly well the mean values of several distributions given a finite budget of samples. If the variance of the distributions wer…
cs.LG2015★ 31 cited
Simple regret for infinitely many armed bandits
Alexandra Carpentier, Michal Valko
We consider a stochastic bandit problem with infinitely many arms. In this setting, the learner has no chance of trying all the arms even once and has to dedicate its limited numbe…