Learning with Misspecified Models

Catalog description

Studies the behavior of individuals who make repeated decisions while simultaneously learning about their environment. Considers the possibility that the individuals learn using misspecified models. Topics include: Bayesian and non-Bayesian learning, Bandit problems, Markov decision processes, and the extensions to strategic settings with multiple agents.