Theory of Computing Seminar
Abstract:
We consider Bayesian agents who learn from private signals, as well as the actions of the other. We show that learning from actions is slower than learning from signals, and that that increased interaction between the agents can lower the speed of learning.
Joint with Matan Harel, Elchanan Mossel and Philipp Strack
For more information, please contact Thomas Vidick by email at [email protected].
Event Series
Theory of Computing Seminar Series