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...
Κύριος συγγραφέας: | Beggs, A |
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Μορφή: | Journal article |
Γλώσσα: | English |
Έκδοση: |
Berkley Electronic Press
2009
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Παρόμοια τεκμήρια
Παρόμοια τεκμήρια
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Learning in Bayesian Games with Binary Actions.
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Learning in Bayesian games with binary actions
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Learning in Monotone Bayesian Games
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Learning in monotone Bayesian games
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Regularity and stability in monotone Bayesian games
ανά: Beggs, A, κ.ά.
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