Add to ORKGThis paper considers a simple adaptive learning rule in Bayesian games where players employ threshold strategies. Global convergence results are given for supermodular games and potentital games
This study clarifies the conditions under which learning in games produces convergence to Nash equil...
This paper provides a genera1 framework to analyze rational learning in strategic situations where t...
In this paper, we address the problem of convergence to Nash equilibria in games with rewards that a...
This paper considers a simple adaptive learning rule in Bayesian games where players employ threshol...
This paper studies learning in monotone Bayesian games with one-dimensional types and finitely many ...
This paper continues the study of Bayesian learning processes for general finite-player, finite-str...
We study learning in Bayesian games (or games with differential information) with an arbitrary numbe...
In infinitely repeated games, Nachbar (1997, 2005) has shown that Bayesian learning of a restricted ...
We generalize results of earlier work on learning in Bayesian games by allowing players to make deci...
In this paper, we provide a theoretical prediction of the way in which adaptive players behave in th...
This paper studies the asymptotic behavior of Bayesian learning processes for general finite-player...
Abstract Adaptive learning games should provide opportunities for the student to learn as well as mo...
We study a learning process with boundedly rational players in global games. Types predict expected ...
Abstract: We consider boundedly rational learning processes in which players have a priori limited s...
Fudenberg and Kreps consider adaptive learning processes, in the spirit of fictitious play, for inf...
This study clarifies the conditions under which learning in games produces convergence to Nash equil...
This paper provides a genera1 framework to analyze rational learning in strategic situations where t...
In this paper, we address the problem of convergence to Nash equilibria in games with rewards that a...
This paper considers a simple adaptive learning rule in Bayesian games where players employ threshol...
This paper studies learning in monotone Bayesian games with one-dimensional types and finitely many ...
This paper continues the study of Bayesian learning processes for general finite-player, finite-str...
We study learning in Bayesian games (or games with differential information) with an arbitrary numbe...
In infinitely repeated games, Nachbar (1997, 2005) has shown that Bayesian learning of a restricted ...
We generalize results of earlier work on learning in Bayesian games by allowing players to make deci...
In this paper, we provide a theoretical prediction of the way in which adaptive players behave in th...
This paper studies the asymptotic behavior of Bayesian learning processes for general finite-player...
Abstract Adaptive learning games should provide opportunities for the student to learn as well as mo...
We study a learning process with boundedly rational players in global games. Types predict expected ...
Abstract: We consider boundedly rational learning processes in which players have a priori limited s...
Fudenberg and Kreps consider adaptive learning processes, in the spirit of fictitious play, for inf...
This study clarifies the conditions under which learning in games produces convergence to Nash equil...
This paper provides a genera1 framework to analyze rational learning in strategic situations where t...
In this paper, we address the problem of convergence to Nash equilibria in games with rewards that a...