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...
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| Định dạng: | Journal article |
| Ngôn ngữ: | English |
| Được phát hành: |
Berkley Electronic Press
2009
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