Open AccessLearning to learn from data: Using deep adversarial learning to construct optimal statistical procedures
Author(s) -
Alex Luedtke,
Marco Carone,
Noah Simon,
Oleg Sofrygin
Publication year - 2020
Publication title -
science advances
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.928
H-Index - 146
ISSN - 2375-2548
DOI - 10.1126/sciadv.aaw2140
Subject(s) - adversarial system , construct (python library) , computer science , artificial intelligence , deep learning , machine learning , statistical learning , data science , programming language
Optimal statistical procedures are constructed using deep adversarial learning to optimize play in a two-player game.
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