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Polynomial-Time Algorithms for Fair Orientations of Chores

arXiv 2501.13481 ↗First posted 23 Jan 2025cs.GT cs.AI cs.DMcited by 0

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Abstract (arXiv)

This paper addresses the problem of finding fair orientations of graphs of chores, in which each vertex corresponds to an agent, each edge corresponds to a chore, and a chore has zero marginal utility to an agent if its corresponding edge is not incident to the vertex corresponding to the agent. Recently, Zhou et al. (IJCAI, 2024) analyzed the complexity of deciding whether graphs containing a mixture of goods and chores have EFX orientations, and conjectured that deciding whether graphs containing only chores have EFX orientations is NP-complete. We resolve this conjecture by giving polynomial-time algorithms that find EF1 and EFX orientations of graphs containing only chores if they exist, even if there are self-loops. Remarkably, our result demonstrates a surprising separation between the case of goods and the case of chores, because deciding whether graphs containing only goods have EFX orientations was shown to be NP-complete by Christodoulou et al. (EC, 2023). In addition, we show the EF1 and EFX orientation problems for multigraphs to be NP-complete.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 7 of its 20 references that are in the map. First posted on arXiv 23 Jan 2025.

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7 of 20 references.

References · 7

  1. 2017Almost Envy-Freeness with General Valuationscited by 22
  2. 2020EFX Exists for Three Agentscited by 14
  3. 2024A Complete Landscape of EFX Allocations on Graphs: Goods, Chores and Mixed Mannacited by 2
  4. 2024EFX Orientations of Multigraphscited by 2
  5. 2024EFX Allocations on Some Multi-graph Classescited by 2
  6. 2022Fairly Dividing Mixtures of Goods and Chores under Lexicographic Preferencescited by 1
  7. 2024EF1 and EFX Orientationscited by 1

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