Constant Weighted Maximin Share Approximations for Chores

Fuente: arXiv
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Autori principali: Li, Bo, Wang, Fangxiao, Xing, Shiji
Natura: Preprint
Pubblicazione: 2025
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author Li, Bo
Wang, Fangxiao
Xing, Shiji
author_facet Li, Bo
Wang, Fangxiao
Xing, Shiji
contents We study the fair allocation of indivisible chores among agents with asymmetric weights. Among the various fairness notions, weighted maximin share (WMMS) stands out as particularly compelling. However, whether WMMS admits a constant-factor approximation has remained unknown and is one of the important open problems in weighted fair division [ALMW22, Suk25]. So far, the best known approximation ratio is O(log n), where n is the number of agents. In this paper, we advance the state of the art and present the first constant-factor approximate WMMS algorithm. To this end, we introduce canonical instance reductions and different bounds of agents' valuations. We also prove that guaranteeing better than 2-approximation is not possible, which improves the best-known lower bound of 1.366.
format Preprint
id arxiv_https___arxiv_org_abs_2510_06581
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Constant Weighted Maximin Share Approximations for Chores
Li, Bo
Wang, Fangxiao
Xing, Shiji
Computer Science and Game Theory
We study the fair allocation of indivisible chores among agents with asymmetric weights. Among the various fairness notions, weighted maximin share (WMMS) stands out as particularly compelling. However, whether WMMS admits a constant-factor approximation has remained unknown and is one of the important open problems in weighted fair division [ALMW22, Suk25]. So far, the best known approximation ratio is O(log n), where n is the number of agents. In this paper, we advance the state of the art and present the first constant-factor approximate WMMS algorithm. To this end, we introduce canonical instance reductions and different bounds of agents' valuations. We also prove that guaranteeing better than 2-approximation is not possible, which improves the best-known lower bound of 1.366.
title Constant Weighted Maximin Share Approximations for Chores
topic Computer Science and Game Theory
url https://arxiv.org/abs/2510.06581