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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Publicado en:	Communications of the ACM Vol. 64; no. 8; pp. 109 - 117
Autores principales:	Dütting, Paul, Zhe Feng, Narasimhan, Harikrishna, Parkes, David C., Ravindranath, Sai S.
Formato:	Artículo
Publicado:	Association for Computing Machinery Aug2021
Materias:	Auctions Deep learning Mathematical optimization Artificial neural networks Economics Machine learning
Acceso en línea:	Ver este registro en EBSCOhost