Optimal Auctions Through Deep Learning.

Designing an incentive compatible auction that maximizes expected revenue is an intricate task. The single-item case was resolved in a seminal piece of work by Myerson in 1981. Even after 30-40 years of intense research, the problem remains unsolved for settings with two or more items. We overview r...

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Bibliographic Details

Published in:	Communications of the ACM Vol. 64; no. 8; pp. 109 - 117
Main Authors:	Dütting, Paul, Zhe Feng, Narasimhan, Harikrishna, Parkes, David C., Ravindranath, Sai S.
Format:	Article
Published:	Association for Computing Machinery Aug2021
Subjects:	Auctions Deep learning Mathematical optimization Artificial neural networks Economics Machine learning
Online Access:	View this record in EBSCOhost