Presents CQB-η-2 algorithm achieving 𝒪̃(T^{-1/2}) queue length regret in contextual queueing bandits under stochastic contexts, with matching Ω(T^{-1/2}) lower bound.
Bandit-based rate adaptation for a single-server queue.arXiv preprint arXiv:2512.12016,
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Algorithm for Contextual Queueing Bandits with Rate-Optimal Queue Length Regret
Presents CQB-η-2 algorithm achieving 𝒪̃(T^{-1/2}) queue length regret in contextual queueing bandits under stochastic contexts, with matching Ω(T^{-1/2}) lower bound.