Approximately EFX Allocations for Indivisible Chores
Shengwei Zhou, Xiaowei Wu

TL;DR
This paper develops polynomial-time algorithms to approximate envy-freeness up to any item (EFX) in the allocation of indivisible chores, providing new bounds for three or more agents and special bi-valued instances.
Contribution
It introduces the first polynomial algorithms for approximate EFX allocations for chores with multiple agents, including specific bounds for three agents and general n-agent cases.
Findings
For three agents, a 4.45-approximate EFX allocation is computable.
For n≥4 agents, a (3n^2 - n)-approximation of EFX is achievable.
In bi-valued instances, partial EFX allocations with at most n-1 unallocated chores are possible.
Abstract
In this paper, we study how to fairly allocate a set of m indivisible chores to a group of n agents, each of which has a general additive cost function on the items. Since envy-free (EF) allocations are not guaranteed to exist, we consider the notion of envy-freeness up to any item (EFX). In contrast to the fruitful results regarding the (approximation of) EFX allocations for goods, very little is known for the allocation of chores. Prior to our work, for the allocation of chores, it is known that EFX allocations always exist for two agents or general number of agents with identical ordering cost functions. For general instances, no non-trivial approximation result regarding EFX allocation is known. In this paper, we make progress in this direction by providing several polynomial time algorithms for the computation of EFX and approximately EFX allocations. We show that for three agents…
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Taxonomy
TopicsAdvanced Algebra and Logic · Game Theory and Voting Systems · Auction Theory and Applications
