MPC and Reinforcement Learning Summer School

Wednesday, August 04, 2021, 16:00

"Virtual and in HS 1015, Kollegiengebäude I, Platz der Universität 3 , D-79098 Freiburg, Germany"

8 days, 9:00-17:00,

July 26 to August 4, 2021

This block course of 8 days duration is intended for master and PhD students from engineering, computer science, mathematics, physics, and other mathematical sciences. The aim is that participants understand the main concepts of model predictive control (MPC) and reinforcement learning (RL) as well the similarities and differences between the two approaches. In hands-on exercises and project work they learn to apply the methods to practical optimal control problems from science and engineering. 

The course consists of lectures, exercises, and project work. The lectures in the first week will be given by Prof. Dr. Joschka Boedecker and Prof. Dr. Moritz Diehl from the University of Freiburg. In the second week of the course, invited guest lectures will be given by Prof. Dr. Sebastien Gros from NTNU Trondheim (Norway) and Sergey Levine from UC Berkeley (California, US).

All Information about this event can be found on the course home page.