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arXiv Machine Learning By Yu Chen, Siwei Wang, Longbo Huang, Wei Chen

On the Sublinear Regret of Continuous K-Max Bandits

Read the original on arXiv Machine Learning →

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.

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