TY - GEN
T1 - Matching Market Design with Constraints
AU - Aziz, Haris
AU - Biró, Péter
AU - Yokoo, Makoto
N1 - Funding Information:
The authors thank Jeremy Vollen and the anonymous reviewers of AAAI 2022 for helpful comments. Aziz is supported by DSTG under the project “Auctioning for distributed multi vehicle planning” (MYIP 9953) and by AFOSR under the project “Efficient and fair decentralized task allocation algorithms for autonomous vehicles” (FA2386-20-1-4063). Biró gratefully acknowledges financial support from the Hungarian Scientific Research Fund, OTKA, Grant No. K128611, and the Hungarian Academy of Sciences, Momentum Grant No. LP2021-2. Yokoo is partially supported by JSPS KAKENHI Grant Numbers JP20H00609 and JP21H04979.
Publisher Copyright:
Copyright © 2022, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
PY - 2022/6/30
Y1 - 2022/6/30
N2 - Two-sided matching is an important research area that has had a major impact on the design of real-world matching markets. One consistent feature in many of the real-world applications is that they impose new feasibility constraints that lead to research challenges. We survey developments in the field of two-sided matching with various constraints, including those based on regions, diversity, multi-dimensional capacities, and matroids.
AB - Two-sided matching is an important research area that has had a major impact on the design of real-world matching markets. One consistent feature in many of the real-world applications is that they impose new feasibility constraints that lead to research challenges. We survey developments in the field of two-sided matching with various constraints, including those based on regions, diversity, multi-dimensional capacities, and matroids.
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M3 - Conference contribution
AN - SCOPUS:85131112835
T3 - Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022
SP - 12308
EP - 12316
BT - IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations
PB - Association for the Advancement of Artificial Intelligence
T2 - 36th AAAI Conference on Artificial Intelligence, AAAI 2022
Y2 - 22 February 2022 through 1 March 2022
ER -