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Best-of-Both-Worlds Fair Allocation of Indivisible and Mixed Goods

2024/10/09 by Xiaolin Bu, Bu, Xiaolin, Zihao Li +7 · 3 citations
Neuroscience · Social Sciences · #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Free Will and Agency #Legal principles and applications

paper · pdf · doi:10.48550/arxiv.2410.06877

openalex publication_date 2024/10/09 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

We study the problem of fairly allocating either a set of indivisible goods or a set of mixed divisible and indivisible goods (i.e., mixed goods) to agents with additive utilities, taking the best-of-both-worlds perspective of guaranteeing fairness properties both ex ante and ex post. The ex-post fairness notions considered in this paper are relaxations of envy-freeness, specifically, EFX for indivisible-goods allocation, and EFM for mixed-goods allocation. For two agents, we show that there is a polynomial-time randomized algorithm that achieves ex-ante envy-freeness and ex-post EFX / EFM simultaneously. For n agents with bi-valued utilities, we show there exist randomized allocations that are (i) ex-ante proportional and ex-post EFM, and (ii) ex-ante envy-free, ex-post EFX, and ex-post fractionally Pareto optimal.

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