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Preprint Aug 2026

Reoptimization Algorithms for Contextual Bandits with Knapsack Constraints

A natural and simple extension of the Upper-Confidence-Bound (UCB) family of algorithms is proposed and it is shown that by taking advantage of re-optimization, the algorithm achieves an average regret of $O(\frac{(\ln T)^3}{T})$ where $T$ is the horizon length.

Zhen Xu · 1 citation

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