Maximin-Aware Allocations of Indivisible Chores with Symmetric and Asymmetric Agents

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

1 Citation (Scopus)

Abstract

The real-world deployment of fair allocation algorithms usually involves a heterogeneous population of users, which makes it challenging for the users to get complete knowledge of the allocation except for their own bundles. Recently, a new fairness notion, maximin-awareness (MMA) was proposed and it guarantees that every agent is not the worst-off one, no matter how the items that are not allocated to this agent are distributed. We adapt and generalize this notion to the case of indivisible chores and when the agents may have arbitrary weights. Due to the inherent difficulty of MMA, we also consider its up to one and up to any relaxations. A string of results on the existence and computation of MMA related fair allocations, and their connections to existing fairness concepts is given. © 2023 International Joint Conferences on Artificial Intelligence.

Original languageEnglish
Title of host publicationProceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23)
EditorsEdith Elkind
PublisherInternational Joint Conferences on Artificial Intelligence
Pages2897-2905
Number of pages9
ISBN (Electronic)9781956792034
DOIs
Publication statusPublished - Aug 2023
Event32nd International Joint Conference on Artificial Intelligence (IJCAI 2023) - Sheraton Grand Macao, Macao, China
Duration: 19 Aug 202325 Aug 2023
https://ijcai-23.org/

Publication series

NameIJCAI International Joint Conference on Artificial Intelligence
Volume2023-August
ISSN (Print)1045-0823

Conference

Conference32nd International Joint Conference on Artificial Intelligence (IJCAI 2023)
Abbreviated titleIJCAI-23
PlaceMacao, China
Period19/08/2325/08/23
Internet address

Funding

Bo Li is supported by NSFC under Grant No. 62102333, HKSAR RGC under Grant No. PolyU 25211321, and CCF-Huawei Populus Grove Fund. Minming Li is supported by the Fundamental Research Funds for the Central Universities. Bo Li is supported by NSFC under Grant No. 62102333, HKSAR RGC under Grant No. PolyU 25211321, and CCFHuawei Populus Grove Fund. Minming Li is supported by the Fundamental Research Funds for the Central Universities.

RGC Funding Information

  • RGC-funded

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