Top Two algorithm

An ε-Best-Arm Identification Algorithm for Fixed-Confidence and Beyond
We propose EB-TCε, a novel sampling rule for ε-best arm identification in stochastic bandits. It is the first instance of Top Two …
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On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
Best Arm Identification (BAI) problems are progressively used for data-sensitive applications, such as designing adaptive clinical …
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Non-Asymptotic Analysis of a UCB-based Top Two Algorithm
A Top Two sampling rule for bandit identification is a method which selects the next arm to sample from among two candidate arms, a …
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Top Two Algorithms Revisited
Top Two algorithms arose as an adaptation of Thompson sampling to best arm identification in multi-armed bandit models (Russo, 2016), …
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