Open AccessCoordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games
Author(s) -
Kai Wang,
Lily Xu,
Andrew Perrault,
Michael K. Reiter,
Milind Tambe
Publication year - 2022
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v36i5.20457
Subject(s) - stackelberg competition , nash equilibrium , uniqueness , best response , mathematical economics , equilibrium selection , epsilon equilibrium , mathematical optimization , gradient descent , computer science , solution concept , game theory , mathematics , repeated game , mathematical analysis , machine learning , artificial neural network
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