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Found 2 papers, 1 papers with code
Online Allocation and Pricing: Constant Regret via Bellman Inequalities
We develop a framework for designing simple and efficient policies for a family of online allocation and pricing problems, that includes online packing, budget-constrained probing, dynamic pricing, and online contextual bandits with knapsacks.
The Bayesian Prophet: A Low-Regret Framework for Online Decision Making
We develop a new framework for designing online policies given access to an oracle providing statistical information about an offline benchmark.
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