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- W4386728976 abstract "This paper presents an efficient algorithm to solve the sleeping bandit with multiple plays problem in the context of an online recommendation system. The problem involves bounded, adversarial loss and unknown i.i.d. distributions for arm availability. The proposed algorithm extends the sleeping bandit algorithm for single arm selection and is guaranteed to achieve theoretical performance with regret upper bounded by , where k is the number of arms selected per time step, N is the total number of arms, and T is the time horizon." @default.
- W4386728976 created "2023-09-15" @default.
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- W4386728976 date "2023-09-14" @default.
- W4386728976 modified "2023-09-27" @default.
- W4386728976 title "Adversarial Sleeping Bandit Problems with Multiple Plays: Algorithm and Ranking Application" @default.
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- W4386728976 doi "https://doi.org/10.1145/3604915.3608824" @default.
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