Pushing the Frontier on Approximate EFX Allocations
<|reference_start|>Pushing the Frontier on Approximate EFX Allocations: We study the problem of allocating a set of indivisible goods to a set of agents with additive valuation functions, aiming to achieve approximate envy-freeness up to any good ($\alpha$-EFX). The state-of-the-art results on the problem include that (exact) EFX allocations exist when (a) there are at most three agents, or (b) the agents' valuation functions can take at most two values, or (c) the agents' valuation functions can be represented via a graph. For $\alpha$-EFX, it is known that a $0.618$-EFX allocation exists for any number of agents with additive valuation functions. In this paper, we show that $2/3$-EFX allocations exist when (a) there are at most \emph{seven agents}, (b) the agents' valuation functions can take at most \emph{three values}, or (c) the agents' valuation functions can be represented via a \emph{multigraph}. Our results can be interpreted in two ways. First, by relaxing the notion of EFX to $2/3$-EFX, we obtain existence results for strict generalizations of the settings for which exact EFX allocations are known to exist. Secondly, by imposing restrictions on the setting, we manage to beat the barrier of $0.618$ and achieve an approximation guarantee of $2/3$. Therefore, our results push the \emph{frontier} of existence and computation of approximate EFX allocations, and provide insights into the challenges of settling the existence of exact EFX allocations.<|reference_end|>
@article{amanatidis2024pushing,
    title={Pushing the Frontier on Approximate EFX Allocations},
    author={Georgios Amanatidis, Aris Filos-Ratsikas, Alkmini Sgouritsa},
    journal={arXiv preprint arXiv:2406.12413},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.12413},
    primaryClass={cs.GT cs.AI cs.DM}
}