Fair and Efficient Allocations of Chores Under Bivalued Preferences
Abstract
We study the problem of fair and efficient allocation of a set of indivisible chores to agents with additive cost functions. We consider the popular fairness notion of envy-freeness up to one good (EF1) with the efficiency notion of Pareto-optimality (PO). While it is known that EF1+PO allocations exists and can be computed in pseudo-polynomial time in the case of goods, the same problem is open for chores. Our first result is a strongly polynomial-time algorithm for computing an EF1+PO allocation for bivalued instances, where agents have (at most) two disutility values for the chores. To the best of our knowledge, this is the first non-trivial class of chores to admit an EF1+PO allocation and an efficient algorithm for its computation. We also study the problem of computing an envy-free (EF) and PO allocation for the case of divisible chores. While the existence of EF+PO allocation is known via competitive equilibrium with equal incomes, its efficient computation is open. Our second result shows that for bivalued instances, an EF+PO allocation can be computed in strongly polynomial-time.
Cite
Text
Garg et al. "Fair and Efficient Allocations of Chores Under Bivalued Preferences." AAAI Conference on Artificial Intelligence, 2022. doi:10.1609/AAAI.V36I5.20436Markdown
[Garg et al. "Fair and Efficient Allocations of Chores Under Bivalued Preferences." AAAI Conference on Artificial Intelligence, 2022.](https://mlanthology.org/aaai/2022/garg2022aaai-fair/) doi:10.1609/AAAI.V36I5.20436BibTeX
@inproceedings{garg2022aaai-fair,
title = {{Fair and Efficient Allocations of Chores Under Bivalued Preferences}},
author = {Garg, Jugal and Murhekar, Aniket and Qin, John},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2022},
pages = {5043-5050},
doi = {10.1609/AAAI.V36I5.20436},
url = {https://mlanthology.org/aaai/2022/garg2022aaai-fair/}
}