IJCAI 2022poster20 citations

An EF2X Allocation Protocol for Restricted Additive Valuations

Hannaneh Akrami, Rojin Rezvan, Masoud Seddighin

Abstract

We study the problem of fairly allocating a set of indivisible goods to a set of n agents. Envy-freeness up to any good (EFX) criterion (which requires that no agent prefers the bundle of another agent after the removal of any single good) is known to be a remarkable analogue of envy-freeness when the resource is a set of indivisible goods. In this paper, we investigate EFX for restricted additive valuations, that is, every good has a non-negative value, and every agent is interested in only some of the goods. We introduce a natural relaxation of EFX called EFkX which requires that no agent envies another agent after the removal of any k goods. Our main contribution is an algorithm that finds a complete (i.e., no good is discarded) EF2X allocation for restricted additive valuations. In our algorithm we devise new concepts, namely configuration and envy-elimination that might be of independent interest. We also use our new tools to find an EFX allocation for restricted additive valuations that discards at most n/2 -1 goods.

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BibTeX
@inproceedings{ijcai2022p3,
  title     = {An EF2X Allocation Protocol for Restricted Additive Valuations},
  author    = {Akrami, Hannaneh and Rezvan, Rojin and Seddighin, Masoud},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on
               Artificial Intelligence, {IJCAI-22}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Lud De Raedt},
  pages     = {17--23},
  year      = {2022},
  month     = {7},
  note      = {Main Track},
  doi       = {10.24963/ijcai.2022/3},
  url       = {https://doi.org/10.24963/ijcai.2022/3},
}
An EF2X Allocation Protocol for Restricted Additive Valuations · IJCAI 2022