IJCAI 2024poster0 citations
Fairness and Optimization in Dynamic Multiagent Allocation Problems
Abstract
In many allocation problems, understanding individual agents' needs, wants, and tradeoffs is crucial for providing fair and efficient solutions. This paper begins with motivating applications and critical definitions. We review existing results, such as advising agents on relaxing restrictions for improved resource allocation, optimizing task allocation in online settings without rejection of a task, and more. We conclude by outlining three potential directions for future research.
DC: Agent-based and Multi-agent Systems
BibTeX
@inproceedings{ijcai2024p973,
title = {Fairness and Optimization in Dynamic Multiagent Allocation Problems},
author = {Trabelsi, Yohai},
booktitle = {Proceedings of the Thirty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-24}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Kate Larson},
pages = {8516--8517},
year = {2024},
month = {8},
note = {Doctoral Consortium},
doi = {10.24963/ijcai.2024/973},
url = {https://doi.org/10.24963/ijcai.2024/973},
}