Learning in monotone Bayesian games
This paper studies learning in monotone Bayesian games with one-dimensional types and finitely many actions. Players switch between actions at a set of thresholds. A learning algorithm under which players adjust their strategies in the direction of better ones using payoffs received at similar sign...
| Main Author: | |
|---|---|
| Format: | Working paper |
| Published: |
University of Oxford
2015
|