Proceedings

New Algorithms for Japanese Residency Matching

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Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 412-418.

https://doi.org/10.24963/ijcai.2021/58

Abstract

We study the Japanese Residency Matching Program (JRMP) in which hospitals are partitioned into disjoint regions and both hospitals and regions are subject to quotas. To achieve a balanced distribution of doctors across regions, hard bounds are imposed by the government to limit the number of

doctors who can be placed in each region. However, such hard bounds lead to inefficiency in terms of wasted vacant positions. In this paper, we propose

two suitable algorithms to reduce waste with minimal modification to the current system and show that they are superior to the algorithm currently

deployed in JRMP by comparing them theoretically and empirically.

Zhaohong Sun, Taiki Todo, and Makoto Yokoo. 2021. New Algorithms for Japanese Residency Matching. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21. IJCAI, 412–418. https://doi.org/10.24963/ijcai.2021/58
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