An EF2X Allocation Protocol for Restricted Additive Valuations
Abstract
We study the problem of fairly allocating a set of indivisible goods to a set of n agents. Envy-freeness up to any good (EFX) criterion (which requires that no agent prefers the bundle of another agent after the removal of any single good) is known to be a remarkable analogue of envy-freeness when the resource is a set of indivisible goods. In this paper, we investigate EFX for restricted additive valuations, that is, every good has a non-negative value, and every agent is interested in only some of the goods. We introduce a natural relaxation of EFX called EFkX which requires that no agent envies another agent after the removal of any k goods. Our main contribution is an algorithm that finds a complete (i.e., no good is discarded) EF2X allocation for restricted additive valuations. In our algorithm we devise new concepts, namely configuration and envy-elimination that might be of independent interest. We also use our new tools to find an EFX allocation for restricted additive valuations that discards at most n/2 -1 goods.
Cite
Text
Akrami et al. "An EF2X Allocation Protocol for Restricted Additive Valuations." International Joint Conference on Artificial Intelligence, 2022. doi:10.24963/IJCAI.2022/3Markdown
[Akrami et al. "An EF2X Allocation Protocol for Restricted Additive Valuations." International Joint Conference on Artificial Intelligence, 2022.](https://mlanthology.org/ijcai/2022/akrami2022ijcai-ef/) doi:10.24963/IJCAI.2022/3BibTeX
@inproceedings{akrami2022ijcai-ef,
title = {{An EF2X Allocation Protocol for Restricted Additive Valuations}},
author = {Akrami, Hannaneh and Rezvan, Rojin and Seddighin, Masoud},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2022},
pages = {17-23},
doi = {10.24963/IJCAI.2022/3},
url = {https://mlanthology.org/ijcai/2022/akrami2022ijcai-ef/}
}