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 |
| 24/03/25 | Lab. Laurea Magistrale - 5° floor - Via Celoria 18 - 20133 Milan | 10:30 - 12:30 / 14:00 - 16:00 |
| 25/03/25 | Lab. Laurea Magistrale - 5° floor - Via Celoria 18 - 20133 Milan | 10:30 - 12:30 / 14:00 - 16:00 |
| 26/03/25 | Lab. Laurea Magistrale - 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