Bayesian Learning, Smooth Approximate Optimal Behavior, and Convergence toε-Nash Equilibrium

DOI10.3982/ECTA9332zbMath1419.91131MaRDI QIDQ4614264

Yuichi Noguchi

Publication date: 30 January 2019

Published in: Econometrica (Search for Journal in Brave)

zbMATH Keywords

convergenceBayesian learning\(\varepsilon\)-Nash equilibrium\(\eta\)-learning to predict strategiessmooth approximate optimal behavior

Mathematics Subject Classification ID

Rationality and learning in game theory (91A26) Multistage and repeated games (91A20)

Related Items (3)

Learning in Games ⋮ Learning efficient equilibria in repeated games ⋮ The possibility of Bayesian learning in repeated games

This page was built for publication: Bayesian Learning, Smooth Approximate Optimal Behavior, and Convergence toε-Nash Equilibrium