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Department of Industrial & Systems Engineering, KAIST
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Achieving a rate-optimal queue length regret of $\widetilde{\mathcal{O}}(T^{-1/2})$ reveals that strategic exploration can significantly enhance learning efficiency in contextual queueing environments.
