A Learning Theory for the Concept of Harsanyi-Nash Equilibrium in Stochastic Games with Bayesian Players

Leoni Patrick
CEIS Working Papers
This paper investigates simultaneous learning about both nature and others’ actions in stochastic games, and identifies a set of su±- cient conditions assuring that equilibrium actions played by Bayesian agents become eventually arbitrarily close to a Har
Number: 192
Date: Thursday, May 1, 2003
Revision Date: Thursday, May 1, 2003