“Machine Learning and Optimal Control”
9, 10, 12 September and 30 September, 1 October 2025 - Torre Archimede
A late-summer school for students.
Prof. Lars Grüne (University of Bayreuth)
An Introduction to Optimal Control and Recent Solution Strategies
This three-lecture course introduces the fundamentals of optimal control theory and computational methods. It covers classical approaches as well as modern strategies such as model predictive control and deep reinforcement learning, with insights into real-world applications.
Prof. Enrique Zuazua (FAU Erlangen-Nürnberg)
Machine Learning: A Mathematician’s Perspective
In two lectures, Prof. Zuazua will discuss the deep connections between machine learning, control theory, and cybernetics, highlighting how data-driven methods can be integrated into traditional analytical frameworks and how mathematics continues to shape AI.
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