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On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits
All these new upper and lower bounds generalize existing bounds based, e. g., on gaps between distributions.
A Non-asymptotic Approach to Best-Arm Identification for Gaussian Bandits
We propose a new strategy for best-arm identification with fixed confidence of Gaussian variables with bounded means and unit variance.
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