Towards Optimal Subsidy Bounds for Envy-Freeable Allocations

Authors

  • Yasushi Kawase University of Tokyo
  • Kazuhisa Makino Kyoto University
  • Hanna Sumita Tokyo Institute of Technology
  • Akihisa Tamura Keio University
  • Makoto Yokoo Kyushu University

DOI:

https://doi.org/10.1609/aaai.v38i9.28842

Keywords:

GTEP: Fair Division, GTEP: Mechanism Design

Abstract

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.

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

Issue

Section

AAAI Technical Track on Game Theory and Economic Paradigms