Learning in Bayesian Games with Binary Actions.
This paper considers a simple adaptive learning rule in Bayesian games with binary actions where players employ threshold strategies. Global convergence results are given for supermodular games and potential games. If there is a unique equilibrium, players’ strategies converge almost surely to it. E...
主要作者: | Beggs, A |
---|---|
格式: | Journal article |
语言: | English |
出版: |
Berkley Electronic Press
2009
|
相似书籍
-
Learning in Bayesian Games with Binary Actions.
由: Beggs, A
出版: (2005) -
Learning in Bayesian games with binary actions
由: Beggs, A
出版: (2005) -
Learning in Monotone Bayesian Games
由: Beggs, A
出版: (2015) -
Learning in monotone Bayesian games
由: Beggs, A
出版: (2015) -
Regularity and stability in monotone Bayesian games
由: Beggs, A, et al.
出版: (2011)