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LinearAPT: An Adaptive Algorithm for the Fixed-Budget Thresholding Linear Bandit Problem
In this study, we delve into the Thresholding Linear Bandit (TLB) problem, a nuanced domain within stochastic Multi-Armed Bandit (MAB) problems, focusing on maximizing decision accuracy against a linearly defined threshold under resource constraints.
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