# Deep Learning for Two-Sided Matching

@article{Ravindranath2021DeepLF, title={Deep Learning for Two-Sided Matching}, author={Sai Srivatsa Ravindranath and Zhe Feng and Shira Li and Jonathan Ma and Scott Duke Kominers and David C. Parkes}, journal={ArXiv}, year={2021}, volume={abs/2107.03427} }

We initiate the use of a multi-layer neural network to model two-sided matching and to explore the design space between strategy-proofness and stability. It is well known that both properties cannot be achieved simultaneously but the efficient frontier in this design space is not understood. We show empirically that it is possible to achieve a good compromise between stability and strategy-proofness—substantially better than that achievable through a convex combination of deferred acceptance…

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