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Pandora Box Problem with Nonobligatory Inspection: Hardness and Approximation Scheme

Published: 02 June 2023 Publication History

Abstract

Weitzman (1979) introduced the Pandora Box problem as a model for sequential search with inspection costs, and gave an elegant index-based policy that attains provably optimal expected payoff. In various scenarios, the searching agent may select an option without making a costly inspection. The variant of the Pandora box problem with non-obligatory inspection has attracted interest from both economics and algorithms researchers. Various simple algorithms have proved suboptimal, with the best known 0.8-approximation algorithm due to Guha et al. (2008). No hardness result for the problem was known.
In this work, we show that it is NP-hard to compute an optimal policy for Pandora’s problem with nonobligatory inspection. We also give a polynomial-time approximation scheme (PTAS) that computes policies with an expected payoff at least (1 − є)-fraction of the optimal, for arbitrarily small є > 0. On the side, we show the decision version of the problem to be in NP.

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cover image ACM Conferences
STOC 2023: Proceedings of the 55th Annual ACM Symposium on Theory of Computing
June 2023
1926 pages
ISBN:9781450399135
DOI:10.1145/3564246
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Published: 02 June 2023

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Author Tags

  1. NP-hardness
  2. Pandora box
  3. approximation algorithms
  4. online algorithms

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  • Fundamental Research Funds for the Central Universities of China
  • Simons award It from Qubit

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