Game on Random Environment, Mean-Field Langevin System, and Neural Networks
Author(s) -
Giovanni Conforti,
Anna Kazeykina,
Zhenjie Ren
Publication year - 2022
Publication title -
mathematics of operations research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.619
H-Index - 83
eISSN - 1526-5471
pISSN - 0364-765X
DOI - 10.1287/moor.2022.1252
Subject(s) - uniqueness , mathematics , kullback–leibler divergence , artificial neural network , context (archaeology) , mean field theory , langevin dynamics , entropy (arrow of time) , adversarial system , stochastic game , stochastic gradient descent , mathematical economics , mathematical optimization , computer science , artificial intelligence , mathematical analysis , paleontology , physics , quantum mechanics , biology , statistics
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