Models of macroeconomic learning are populated by agents who possess a great deal of knowledge of the "true" structure … of the economy, and yet ignore the impact of their own learning on that structure; they may learn about an equilibrium …, but they do not learn within it.  An alternative learning model is presented where agents' decisions are informed by …

the existing literature, which typically focuses on the learning of private agents during a disinflation.  We build a …

In models of learning by experimentation, there is a natural benchmark of myopia when the only intertemporal link is … to suggest that the use of this particular benchmark is flawed for two reasons: first, passive learning does not … more tellingly, passive learning does not do what it is supposed to do, namely help measure the gains from active …

This paper considers a simple adaptive learning rule in Bayesian games where players employ threshold strategies …

The paper surveys recent work on learning in games and delineates the boundary between forms of learning that lead to …

We propose a simple payoff-based learning rule that is completely decentralized, and that leads to an efficient … control of wind farms.  The proof of the proposed learning algorithm relies on the theory of large deviations for perturbed …