Optimal Control and AGENT SYSTEMs 

About the workshop

This workshop explores the intersection of optimal control and agent-based systems, highlighting their role in modern data science applications. We will discuss theoretical advancements, computational methods, and real-world implementations in fields such as mean field games, reinforcement learning, complex system optimization and data-driven applications. Bringing together leading experts and young researchers, the workshop aims to foster discussions on emerging challenges.

The event is organized within the activities of thematic semester on "Data Science", as part of the Excellence Department initiative (2023-2027) in the area of Mathematics and Computer Science, funded by the Italian National Agency for the Evaluation of Universities and Research Institutes.

Moreover, the workshop is organized also within the activities of two National Projects focused on optimal control, interacting agent systems and data-driven modeling.

A school on "Numerical methods for high-dimensional data" is organized the week before the workshop (September 15-19, 2025), with lectures held by Bruno Després (Paris 6), Michael Herty (RWTH Aachen), George Karniadakis (Brown University).

Organizers

Alessandro Alla · Elisabetta Carlini · Davide Torlo · Giuseppe Visconti

Sponsors

• PRIN 2022 "Optimal control problems: analysis, approximations and applications"

• PRIN-PNRR 2022 "Data-driven discovery and control of multi-scale interacting artificial agent systems"

• Department of Mathematics within Excellence Departments 2023-2027