A Black-Box Approach for Exogenous Replenishment in Online Resource Allocation

In a typical online resource allocation problem, we start with a fixed inventory of resources and make online allocation decisions in response to resource requests that arrive sequentially over a finite horizon. We consider settings where the inventory is replenished over time according to an unknown exogenous process. We introduce black-box methods that extend any existing algorithm, originally designed without considering replenishment, into one that works with an arbitrary (adversarial or stochastic) replenishment process. Our approach preserves the original algorithm's competitive ratio in regimes with large initial inventory, thereby enabling the seamless integration of exogenous replenishment into a large body of existing algorithmic results for both adversarial and stochastic arrival models.

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Publication Details

Journal
ArXiv.org
Published
2025-07-20
Primary Topic
Optimization and Search Problems
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article
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article

A Black-Box Approach for Exogenous Replenishment in Online Resource Allocation

Sung‐Mo Kang, Rajan Udwani, Ziyang Liu
ArXiv.org
Optimization and Search Problems
article

A Black-Box Approach for Exogenous Replenishment in Online Resource Allocation

Sung‐Mo Kang, Rajan Udwani, Ziyang Liu
article en

Abstract

In a typical online resource allocation problem, we start with a fixed inventory of resources and make online allocation decisions in response to resource requests that arrive sequentially over a finite horizon. We consider settings where the inventory is replenished over time according to an unknown exogenous process. We introduce black-box methods that extend any existing algorithm, originally designed without considering replenishment, into one that works with an arbitrary (adversarial or stochastic) replenishment process. Our approach preserves the original algorithm's competitive ratio in regimes with large initial inventory, thereby enabling the seamless integration of exogenous replenishment into a large body of existing algorithmic results for both adversarial and stochastic arrival models.

ArXiv.org
Openalex Percentile: Top 54%
Optimization and Search Problems
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A Black-Box Approach for Exogenous Replenishment in Online Resource Allocation — Sung‐Mo Kang, Rajan Udwani, et al. · ArXiv.org (2025) | TGRS Research Map | TGRS