English

Optimal Single-Choice Prophet Inequalities from Samples

Data Structures and Algorithms 2025-09-12 v2 Computer Science and Game Theory

Abstract

We study the single-choice Prophet Inequality problem when the gambler is given access to samples. We show that the optimal competitive ratio of 1/21/2 can be achieved with a single sample from each distribution. When the distributions are identical, we show that for any constant ε>0\varepsilon > 0, O(n)O(n) samples from the distribution suffice to achieve the optimal competitive ratio (0.745\approx 0.745) within (1+ε)(1+\varepsilon), resolving an open problem of Correa, D\"utting, Fischer, and Schewior.

Cite

@article{arxiv.1911.07945,
  title  = {Optimal Single-Choice Prophet Inequalities from Samples},
  author = {Aviad Rubinstein and Jack Z. Wang and S. Matthew Weinberg},
  journal= {arXiv preprint arXiv:1911.07945},
  year   = {2025}
}

Comments

Appears in Innovations in Theoretical Computer Science (ITCS) 2020

R2 v1 2026-06-23T12:19:55.999Z