Towards Optimal Subsidy Bounds for Envy-Freeable Allocations
DOI:
https://doi.org/10.1609/aaai.v38i9.28842Keywords:
GTEP: Fair Division, GTEP: Mechanism DesignAbstract
We study the fair division of indivisible items with subsidies among n agents, where the absolute marginal valuation of each item is at most one. Under monotone valuations (where each item is a good), it is known that a maximum subsidy of 2(n-1) and a total subsidy of 2(n-1)² are sufficient to guarantee the existence of an envy-freeable allocation. In this paper, we improve upon these bounds, even in a wider model. Namely, we show that, given an EF1 allocation, we can compute in polynomial time an envy-free allocation with a subsidy of at most n-1 per agent and a total subsidy of at most n(n-1)/2. Moreover, we present further improved bounds for monotone valuations.Downloads
Published
2024-03-24
How to Cite
Kawase, Y., Makino, K., Sumita, H., Tamura, A., & Yokoo, M. (2024). Towards Optimal Subsidy Bounds for Envy-Freeable Allocations. Proceedings of the AAAI Conference on Artificial Intelligence, 38(9), 9824–9831. https://doi.org/10.1609/aaai.v38i9.28842
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Section
AAAI Technical Track on Game Theory and Economic Paradigms