2 papers
econ.TH2025
Non-Bayesian Learning in Misspecified Models
Sebastian Bervoets, Mathieu Faure, Ludovic Renou
Deviations from Bayesian updating are traditionally categorized as biases, errors, or fallacies, thus implying their inherent ``sub-optimality.'' We offer a more nuanced view. We d…
cs.GT2018
Learning with minimal information in continuous games
Sebastian Bervoets, Mario Bravo, Mathieu Faure
We introduce a stochastic learning process called the dampened gradient approximation process. While learning models have almost exclusively focused on finite games, in this paper…