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Satisficing Regret Minimization in Bandits with Knapsacks

arXiv:2610.39321v1 Announce Type: new Abstract: We study satisficing regret minimization in bandits with knapsacks (BwK), where a learner sequentially selects randomized policies, i.e., distributions over arms, to obtain mean rewards above a satisficing threshold as frequently as possible while res…

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  1. 2026-10-30 04:00 · arXiv stat.ML
    Satisficing Regret Minimization in Bandits with Knapsacks

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