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News/On the Sublinear Regret of Continuous K-Max Bandits
arxiv
PublishedJuly 16, 2026 at 4:00 AM
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On the Sublinear Regret of Continuous K-Max Bandits

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arXiv:2502.13467v2 Announce Type: replace Abstract: The $K$-Max combinatorial multi-armed bandit problem arises in applications such as recommendation and distributed decision making, where the reward is determined by the maximum outcome among $K$ selected arms. When outcomes are continuous and only

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