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News/Cascading Bandits with Noisy Observations: Algorithms and Regret Bounds
arxiv
PublishedOctober 22, 2026 at 4:00 AM

Cascading Bandits with Noisy Observations: Algorithms and Regret Bounds

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arXiv:2610.29381v1 Announce Type: new Abstract: We propose a novel stochastic cascading bandit setup where probing an ordered shortlist of $K$ out of $L$ arms incurs position-dependent costs, and the learner observes only noisy feedback regarding each arm's true output. We identify a sub-class of no

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