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Title:

Learning equilibria in symmetric auction games using artificial neural networks

Document type:
Zeitschriftenaufsatz
Author(s):
Bichler, Martin; Fichtl, Maximilian; Heidekrüger, Stefan; Kohring, Nils; Sutterer, Paul
Non-TUM Co-author(s):
nein
Cooperation:
-
Keywords:
adone, doc, assoc, peer
Intellectual Contribution:
Discipline-based Research
Journal title:
Nature Machine Intelligence
Journal listet in FT50 ranking:
nein
Year:
2021
Journal volume:
3
Journal issue:
8
Pages contribution:
687-695
Fulltext / DOI:
doi:10.1038/s42256-021-00365-4
WWW:
https://github.com/heidekrueger/bnelearn
Publisher:
Springer Science and Business Media LLC
E-ISSN:
2522-5839
Date of publication:
01.08.2021
Judgement review:
None
Key publication:
Nein
Peer reviewed:
Ja
Commissioned:
commissioned by company
Technology:
Ja
Interdisciplinarity:
Nein
Mission statement:
;
Ethics and Sustainability:
Nein
SDG:
;
 BibTeX