Common learning and cooperation in repeated games
研究了玩家通过观察有噪声的私人信号序列来学习未知世界状态的重复博弈，发现对于一般信号分布，使用事后均衡可以得到民间定理，其中玩家共同学习状态，即状态渐近成为共同知识。
We study repeated games in which players learn the unknown state of the world by observing a sequence of noisy private signals. We find that for generic signal distributions, the folk theorem obtains using ex post equilibria. In our equilibria, players commonly learn the state, that is, the state becomes asymptotic common knowledge.