1 Search Results for "Vaish, Rohit"


Document
APPROX
On Approximate Envy-Freeness for Indivisible Chores and Mixed Resources

Authors: Umang Bhaskar, A. R. Sricharan, and Rohit Vaish

Published in: LIPIcs, Volume 207, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2021)


Abstract
We study the fair allocation of undesirable indivisible items, or chores. While the case of desirable indivisible items (or goods) is extensively studied, with many results known for different notions of fairness, less is known about the fair division of chores. We study envy-free allocation of chores and make three contributions. First, we show that determining the existence of an envy-free allocation is NP-complete even in the simple case when agents have binary additive valuations. Second, we provide a polynomial-time algorithm for computing an allocation that satisfies envy-freeness up to one chore (EF1), correcting a claim in the existing literature. A modification of our algorithm can be used to compute an EF1 allocation for doubly monotone instances (where each agent can partition the set of items into objective goods and objective chores). Our third result applies to a mixed resources model consisting of indivisible items and a divisible, undesirable heterogeneous resource (i.e., a bad cake). We show that there always exists an allocation that satisfies envy-freeness for mixed resources (EFM) in this setting, complementing a recent result of Bei et al. [Bei et al., 2021] for indivisible goods and divisible cake.

Cite as

Umang Bhaskar, A. R. Sricharan, and Rohit Vaish. On Approximate Envy-Freeness for Indivisible Chores and Mixed Resources. In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 207, pp. 1:1-1:23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)


Copy BibTex To Clipboard

@InProceedings{bhaskar_et_al:LIPIcs.APPROX/RANDOM.2021.1,
  author =	{Bhaskar, Umang and Sricharan, A. R. and Vaish, Rohit},
  title =	{{On Approximate Envy-Freeness for Indivisible Chores and Mixed Resources}},
  booktitle =	{Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2021)},
  pages =	{1:1--1:23},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-207-5},
  ISSN =	{1868-8969},
  year =	{2021},
  volume =	{207},
  editor =	{Wootters, Mary and Sanit\`{a}, Laura},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2021.1},
  URN =		{urn:nbn:de:0030-drops-146944},
  doi =		{10.4230/LIPIcs.APPROX/RANDOM.2021.1},
  annote =	{Keywords: Fair Division, Indivisible Chores, Approximate Envy-Freeness}
}
  • Refine by Author
  • 1 Bhaskar, Umang
  • 1 Sricharan, A. R.
  • 1 Vaish, Rohit

  • Refine by Classification
  • 1 Mathematics of computing → Combinatorial algorithms
  • 1 Theory of computation → Algorithmic game theory
  • 1 Theory of computation → Exact and approximate computation of equilibria

  • Refine by Keyword
  • 1 Approximate Envy-Freeness
  • 1 Fair Division
  • 1 Indivisible Chores

  • Refine by Type
  • 1 document

  • Refine by Publication Year
  • 1 2021

Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail