Working paper
Learning in Bayesian Games with Binary Actions.
- Abstract:
- This paper considers a simple adaptive learning rule in Bayesian games where players employ threshold strategies. Global convergence results are given for supermodular games and potentital games.
Actions
Access Document
- Files:
-
-
(Preview, pdf, 189.4KB, Terms of use)
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Authors
- Publisher:
- Department of Economics (University of Oxford)
- Series:
- Discussion paper series
- Publication date:
- 2005-01-01
- Language:
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English
- UUID:
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uuid:2710288b-c0b7-429f-8380-0f2531c3a8e2
- Local pid:
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ora:1271
- Deposit date:
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2011-08-16
- ARK identifier:
Terms of use
- Copyright date:
- 2005
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