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...
Үндсэн зохиолч: | Beggs, A |
---|---|
Формат: | Journal article |
Хэл сонгох: | English |
Хэвлэсэн: |
Berkley Electronic Press
2009
|
Ижил төстэй зүйлс
-
Learning in Bayesian Games with Binary Actions.
-н: Beggs, A
Хэвлэсэн: (2005) -
Learning in Bayesian games with binary actions
-н: Beggs, A
Хэвлэсэн: (2005) -
Learning in Monotone Bayesian Games
-н: Beggs, A
Хэвлэсэн: (2015) -
Learning in monotone Bayesian games
-н: Beggs, A
Хэвлэсэн: (2015) -
Regularity and stability in monotone Bayesian games
-н: Beggs, A, зэрэг
Хэвлэсэн: (2011)