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Almost Envy-free Allocation of Indivisible Goods: A Tale of Two Valuations

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arxiv 2407.05139 v2 pith:FZBTVWGC submitted 2024-07-06 cs.GT

classification cs.GT
keywords textsfvaluationsresultsadditiveallocationsboundedrestrictedcite
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abstract

The existence of $\textsf{EFX}$ allocations stands as one of the main challenges in discrete fair division.In this paper, we present symmetrical results on the existence of $\textsf{EFX}$ and its approximate variations for two distinct valuations: restricted additive valuations and $(p,q)$-bounded valuations introduced by Christodoulou \etal \cite{christodoulou2023fair}. In a $(p,q)$-bounded instance, each good has relevance for at most $p$ agents, and any pair of agents shares at most $q$ common relevant goods. We show that instances with $(\infty,1)$-bounded valuations admit $\textsf{EF2X}$ allocations and $\textsf{EFX}$ allocations with at most $\lfloor {n}/{2} \rfloor - 1$ discarded goods, mirroring results for the restricted additive setting \cite{akrami2022ef2x}. We also present ${({\sqrt{2}}/{2})\textsf{-EFX}}$ algorithms for both restricted additive and $(\infty,1)$-bounded subadditive settings. The symmetry of these results suggests these valuations share symmetric structures. Building on this, we propose an $\textsf{EFX}$ allocation for restricted additive valuations when $p=2$ and $q=\infty$. To achieve these results, we further develop the rank concept introduced by Farhadi \etal \cite{farhadi2021almost} and introduce several new concepts such as virtual value, rankpath, and root, which advance the overall understanding of $\textsf{EFX}$ allocations. In addition, we suggest an updating rule based on the virtual values which we believe will lead to broader and more generalized results on $\textsf{EFX}$.

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  1. Beating the Logarithmic Barrier for the Subadditive Maximin Share Problem

    cs.GT 2025-06 conditional novelty 8.0 of 10

    For subadditive valuations, an allocation always exists in which each of n agents receives at least 1/O((log log n)^2) of her maximin share, improving the previous 1/O(log n log log n) bound.

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