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Designing all-pay auctions using deep learning and multi-agent simulation
We propose a multi-agent learning approach for designing crowdsourcing contests and All-Pay auctions. Prizes in contests incentivise contestants to expend effort on their entries, with different prize allocations resulting in different incentives and bidding behaviors. In contrast to auctions design...
Autores principales: | Gemp, Ian, Anthony, Thomas, Kramar, Janos, Eccles, Tom, Tacchetti, Andrea, Bachrach, Yoram |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9547898/ https://www.ncbi.nlm.nih.gov/pubmed/36209288 http://dx.doi.org/10.1038/s41598-022-20234-3 |
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