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Equilibrium Finding in Normal-Form Games via Greedy Regret Minimization
Author(s) -
Hugh Zhang,
Adam Lerer,
Noam Brown
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - Uncategorized
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i9.21181
Subject(s) - iterated function , benchmark (surveying) , mathematical optimization , regret , convergence (economics) , greedy algorithm , minification , computer science , best response , mathematics , sampling (signal processing) , nash equilibrium , statistics , economics , mathematical analysis , geodesy , economic growth , geography , filter (signal processing) , computer vision

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