opponents" rather than "learning about the game" as such. Here we test in an experiment whether players in a repeated encounter …Recently there has been much work on learning in games. However, learning usually means "learning about behavior of …

I examine the generalizability of a broad range of prominent learning models in explaining contribution patterns in … learning models in terms of how accurately they describe individuals' round-by-round choices. The experimental data are split … game strategies. Both ex-post descriptive fit of learning models and their ex-ante predictive accuracy are examined. The …

forces of (a) learning about the benefits of reputation, and (b) learning about backward unraveling. We find, inter alia …

and neighbors’ successes. In equilibrium, private discovery is followed by social diffusion. Social learning crowds out …-best benchmark level at intermediate levels that achieve a balance between discovery and diffusion. We also show how learning and …

We report experiments designed to test between Nash equilibria that are stable and unstable under learning. The “TASP … equilibrium under fictitious play like learning processes. We use two 4 x 4 games each with a unique mixed Nash equilibrium; one … is stable and one is unstable under learning. Both games are versions of Rock-Paper-Scissors with the addition of a …

high steady states are expectationally stable (E-stable), and thus locally stable under learning, while the middle steady …

pessimistic beliefs, even the worst asymmetric equilibrium is more efficient than the symmetric one. In equilibria where players …

learning as a two-armed bandit problem and highlight the interaction between learning (experimentation) and production. We …