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Approximate Envy-Free Allocations up to any k Goods

NeurIPS 2026 · Learning theory and algorithms › Submodular and game algorithms · approach: Fair division of indivisible goods · 0 citations (OpenAlex)

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Generalizes the 3PA/PPA approximate-EFX algorithm to approximate EFkX allocations, giving (k+1)/(k+2)-EFkX for any number of agents with additive valuations, plus 2/3-EFX for 8 agents and NP-completeness of EFkX orientations.

Problem

Existence and polynomial-time computation of approximate envy-free allocations up to any k goods (alpha-EFkX) for indivisible goods with additive valuations, and the complexity of EFkX graph orientations.

Approach

Generalizes the property-preserving partial allocation (PPA) algorithm to bundles of size k+1 and a single modified envy graph with proxy valuations, followed by a new algorithm (AEC) for allocating critical goods and a partial-to-full allocation lemma; the critical-goods step works for any number of agents once k>=2.

Key results

Surprising findings

Limitations

Experimental setup

Baselines: k-RoundRobin with EnvyCycleElimination 2/3-EFX for 7 agents (Amanatidis et al., 2024)

Builds on: PPA algorithm (Amanatidis et al., 2024) envy cycle elimination EFX existence results EF2X allocations

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