Learning in Games : Machine Learning Techniques in Game Theory
A.Y. 2025/2026
Course offered to students on the PhD programme in
Visit the PhD website for the course schedule and other information
Lead instructor: Nicolo' Antonio Cesa Bianchi
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.
Analysis of algorithms. Calculus. Probability theory.
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol
Deadlines
The course enrolment deadline is usually the 27th day of the month prior to the start date.
How to enrol
- Access enrolment on PhD courses online service using your University login details
- Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)
Ignore the option "Exam session date” that appears during the enrolment procedure.
Contacts
For help please contact [email protected]
Professor(s)
Reception:
By appointment
18, via Celoria. Room 7007