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ENTITY Adversarial Bandits With Multi-User Delayed Feedback: Theory and Application

Adversarial Bandits With Multi-User Delayed Feedback: Theory and Application

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  1. TOOL · CL_206375 ·

    New research explores 1/2-Tsallis-INF algorithm for best-arm identification

    This research paper investigates the effectiveness of the 1/2-Tsallis-INF algorithm, a known method for minimizing regret in multi-armed bandit problems, when applied to the task of identifying the best arm. The study a…