Reinforcement Learning with Guarantees
Event details
| Date | 20.01.2023 |
| Hour | 11:00 › 12:00 |
| Speaker | Prof Mario Zanon |
| Location | |
| Category | Conferences - Seminars |
| Event Language | English |
ABSTRACT
RL is a very successful approach to optimal control, which, however, struggles to provide explainability and strong guarantees on the behavior of the resulting control scheme. In contrast, MPC is a standard tool for the closed-loop optimal control of complex systems with constraints and limitations and benefits from a rich theory to assess closed-loop behavior. Because of model inaccuracy, however, MPC can fail at delivering satisfactory closed-loop performance. This seminar will discuss how to leverage the advantages of the two techniques, offering a path toward safe and explainable RL.
BIO
I received my B.Sc. in Industrial Engineering from the University of Trento in 2008 and my M.Sc. in 2010 in Mechatronics and in General Engineering from the University of Trento and the Ecole Centrale Paris respectively in the context of a dual degree agreement. I obtained my Ph.D. in Electrical Engineering from the KU Leuven in 2015 under the supervision of Prof. Moritz Diehl. From November 2015 until December 2017, I have been a postdoc researcher at Chalmers University of Technology under the supervision of Prof. Paolo Falcone. From January 2018 until November 2021 I have been assistant professor at the IMT School for Advanced Studies Lucca, where I became Associate Professor in December 2021.
My research interests include Reinforcement Learning, distributed MPC, economic MPC, optimal control and estimation of nonlinear dynamic systems, in particular for aerospace and automotive applications.
I received my B.Sc. in Industrial Engineering from the University of Trento in 2008 and my M.Sc. in 2010 in Mechatronics and in General Engineering from the University of Trento and the Ecole Centrale Paris respectively in the context of a dual degree agreement. I obtained my Ph.D. in Electrical Engineering from the KU Leuven in 2015 under the supervision of Prof. Moritz Diehl. From November 2015 until December 2017, I have been a postdoc researcher at Chalmers University of Technology under the supervision of Prof. Paolo Falcone. From January 2018 until November 2021 I have been assistant professor at the IMT School for Advanced Studies Lucca, where I became Associate Professor in December 2021.
My research interests include Reinforcement Learning, distributed MPC, economic MPC, optimal control and estimation of nonlinear dynamic systems, in particular for aerospace and automotive applications.
Practical information
- General public
- Free
Contact
- nicole.bouendin@epfl.ch