Monday, October 06, 2025, 9:00 - Friday, October 10, 2025, 17:00

HS 1199, Kollegiengebäude I, Platz der Universität 3, D-79098 Freiburg

​Lecturers: Prof. Dr. Joschka Boedecker (Uni Freiburg), Prof. Dr. Moritz Diehl (Uni Freiburg), Prof. Dr. Sebastien Gros (NTNU Trondheim)

Exercises: Leonard Fichtner, Andrea Ghezzi, Jasper Hoffmann

Contacts: for any questions feel free to contact  mpcrl@cs.uni-freiburg.de

Locations: Kollegiengebäude I, HS 1199, Platz der Universität 3, D-79098 Freiburg, Google Maps 
(Historic University building in the city center)

After a one-year break, we are excited to announce the fourth edition of this block course, building on the success of the previous editions (MPCRL23, MPCRL22, MPCRL21)!

This comprehensive course spans 5 days, in the first two days we will cover the foundation of both MPC and RL, and the in the remainder of the week we want to focus on the combination of MPC and RL.

The program will follow (approximately) the topics covered in our recent survey paper.

Lectures will be supported with intensive exercise/programming sessions. 

Ultimately, the participants will work on their own project in the domain of MPC / RL helped by the professors and the tutors. The project work can be an exciting opportunity to share ideas and collaborate with other participants.

Many projects developed in the past has led to peer-review publications!

In the exercises we will teach how to use our state-of-the-art software packages

• acados: Fast and embedded solvers for nonlinear optimal control.
• leap-c: Framework for efficient combination of MPC and RL using acados.

Registration is open!

For registering, please complete this form

Registration deadline: within August 31, 2025, until the limit of 60 participants is reached (first come first served). 

Participation fee: 400 EUR (free of charge for master’s students from the University of Freiburg). The fee includes coffee breaks during the event, a welcome reception, and a dinner with the participants. 

Cancellation policy: no refund possible.

Registration for master students of Uni Freiburg is free of charge, please fill this form: UFR student registration

Please note that your registration will be considered complete only after we have received your payment. You will receive bank transfer details via email shortly after submitting your registration form. As registrations are processed manually, please allow some time before receiving your confirmation email.

Checkout our teaching page!

Targeted audience

This block course is intended for master students and PhD students from engineering, computer science, mathematics, physics, and other mathematical sciences. 

For interested Master students:

• We accept registration only from master student from the University of Freiburg
• We strongly recommend the students to have taken: (Numerical Optimal or Numerical Optimal Control) or (Reinforcement Learning) courses
• The evaluation of the course will be based on the exercise sessions and the project works. Further details on evaluation will be published soon!