Algorithmic Game Theory and Learning

Constantinos Daskalakis

Date: 12/01/2016
University: MIT
Room : A56
Time: 14:00
Abstract: Game Theory and Learning have enjoyed a long history of interactions over 60+ years. In this talk, I will discuss one of their earliest interactions, providing a counter-example to Karlin's conjecture on the convergence rate of fictitious play. In the second part of the talk, I will present a novel point of interaction between the two fields, developing statistical learning algorithms for learning from strategic data sources.

MaDgIK 2009-2018