Learning in games: machine learning techniques in game theory - December 2025

Length:  10 hours - 2 cfu

 

 

Abstract:

Starting from the study of the complexity of finding Nash equilibria, the computational aspects of game theory are playing an increasingly important role in computer science, game theory, and economics. In this course we will explore how the fundamental game-theoretic solution concepts are associated with corresponding performance criteria in online learning. We will then describe the online learning algorithms converging to these equilibria, thus establishing and elegant connection between multi-agent machine learning and game theory.

 

Dates & Venue

Giorni Aula Orario
 16/12/25  Meeting Room - 5° floor - Via Celoria 18 - 20133 Milan  10:30 - 12:30 /   14:00 - 16:00
 17/12/25  Meeting Room - 5° floor - Via Celoria 18 - 20133 Milan  10:30 - 12:30 /   14:00 - 16:00
 18/12/25  Meeting Room - 5° floor - Via Celoria 18 - 20133 Milan  10:30 - 12:30

 

Suggested Readings:

 

 

Lecturer:

Prof. Nicolò Cesa-Bianchi - Dipartimento di Informatica

Dr. Emmanuel Esposito - Dipartimento di Informatica

 

 

 

 

Assessor:

Prof. Nicolò Cesa-Bianchi - Dipartimento di Informatica

Dr. Emmanuel Esposito - Dipartimento di Informatica