Abstract
In the prophet secretary problem, n values are drawn independently from known distributions and presented in a uniformly random order. A decision maker must accept or reject each value when it is presented and may accept at most k values in total. The objective is to maximize the expected sum of accepted values. We analyze the performance of static threshold policies, which accept the first k values exceeding a fixed threshold (or all such values, if fewer than k exist). We show that an appropriate threshold guarantees γk =1 - e ⁻kkk /k! times the value of the offline optimal solution. Note that γ1 = 1 - 1/e, and by Stirling’s approximation, (Formular Presented). This represents the best-known guarantee for the prophet secretary problem for all k > 1 and is tight for all k for the class of static threshold policies. We provide two simple methods for setting the threshold. Our first method sets a threshold such that k · γk values are accepted in expectation, and offers an optimal guarantee for all k. Our second sets a threshold such that the expected number of values exceeding the threshold is equal to k. This approach gives an optimal guarantee if k > 4 but gives suboptimal guarantees for k ≤ 4. Our proofs use a new result for optimizing sums of independent Bernoulli random variables, which extends a result of Hoeffding from 1956 and could be of independent interest.
Original language | English (US) |
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Pages (from-to) | 1777-1788 |
Number of pages | 12 |
Journal | Operations research |
Volume | 71 |
Issue number | 5 |
DOIs | |
State | Published - Sep 1 2023 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2022 INFORMS.
Keywords
- online algorithms
- prophet inequalities
- prophet secretary problem