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An optimal algorithm for the Thresholding Bandit Problem

ICML 2016 · Bandits and online learning › Multi-armed bandits · approach: Pure exploration algorithms · 64 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use UCBE with tuned a=(T-K)/H (requires knowing H) instead of parameter-free APTUCBE(1) baseline · Experiments 1-3 (Bernoulli and Gaussian)probability of successMixed
Mis-tuned UCBE parameter (a=4^i (T-K)/H with i in {-1,4}) versus parameter-free APTUCBE variants · Experiments 1-3probability of successHurt

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