ELO-X Fall School and Workshop

2nd Seasonal School of the ELO-X project

Tuesday, October 04, 2022, 9:00 - Wednesday, October 12, 2022, 17:00

Room 1098, Kollegiengebäude I, Platz der Universität 3 , 79098 Freiburg, Germany

This event was part of the ELO-X project and comprised three consecutive parts:

- a course

- a workshop

- an advisory board meeting

MPC/RL course participants

MPC/RL course participants

Workshop participants

AB meeting participants


Below is some information from the time of the event.


The aim of this event is to give both, theoretical background and hands-on practical knowledge in the field of Model Predictive Control (MPC) and Reinforcement Learning (RL). Participants will learn the main concepts of the two approaches along with their similarities and differences.


  • The event takes place in Kollegiengebäude I, Platz der Universität 3, Freiburg OpenStreetMap, Google Maps  
    • Lectures and presentations: Room 1098 (HS 1098), Kollegiengebäude I
    • Poster session: Room 1228 (HS 1228), Kollegiengebäude I
  • The welcome receptions are at Waldsee restaurant OpenStreetMap, Google Maps 
  • Feierling (snacks and drinks on Wed 5 Oct)  OpenStreetMapGoogle Maps
  • Dattler restaurant (dinner on Fri 7 Oct) OpenStreetMapGoogle Maps
  • Collaboration sessions (after event 13-14 October) take place in Building 106, Georges-Köhler-Allee 106, Freiburg Google Maps:
    • Building  106 SR 04-007
  • Tram Station Innsbrucker Straße (hike to Schönberg on Sat 8 Oct, weatherproof clothes recommended) OpenStreetMap, Google Maps
  • FreiSpiel, Lehener Str. 15, 79106 Freiburg, OpenStreetMap, Google Maps

    • We have reserved tables for up to 20 people (first come, first serve). For ~1,50€/h (max. 4,50€ if you also get drinks/snacks) we will play boardgames from a selection of over 1000 games!

      --> To register, please contact Amon until Monday, 10.10., at 10am.


The event will be divided into three parts, each one has a dedicated webpage.

  1. Course on Model Predictive Control and Reinforcement Learning taught by Prof. Dr. Joschka Boedecker and Prof. Dr. Moritz Diehl, both from the University of Freiburg. The lecture topics are accompanied by intensive computer exercises. Course prerequisites and detailed content are available at the teaching page.
  2. Mini course How to develop a research project by by Dr. Frank Krüger and Dr. Christian Jäger both from University of Freiburg. 
  3. Workshop on Embedded Optimization and Learning for Robotics and Mechatronics with external invited lecturers that will cover state-of-the-art techniques and applications. 

Registration details:

  • External PhD students (not affiliated with ELO-X) interested in enrolling to the event may expect to pay a participation fee of 450 Euro. This fee will cover, among others, the expenses for the catering, the welcoming receptions and the dinner on Friday 7th October. The optional social event on the weekend will require a minor cost contribution.
  • Please notice that the participation will be limited to approximately 50 people (first come first serve).
  • The registration will close on September 15, 2022 | late registrations are open
  • All the participants will receive an email with the payment details by mid September.
  • All the registered participants should have received an email with the payment details, if not write to andrea.ghezzi@imtek.uni-freiburg.de.

Course registration (only for PhD students not affiliated with ELO-X):

Late registrations are open with the following options and participation fees:

  • OPTION 1: Registration to the course Model Predictive Control and Reinforcement Learning and all the social event included between October 3, 19:00 and October 7, 23:59. Participation fee is 420 Euro. | not available anymore (if you are really motivated to join, send an email to andrea.ghezzi@imtek.uni-freiburg.de)
  • OPTION 2: registration to the Workshop and all the social event included between October 10, 10:30 and October 11, 17:30. Participation fee is 280 Euro.

Note that it is possible to register for both options (total participation fee will be 700 Euro).

Applicants have to fill the following registration form: https://cloud.syscop.de/apps/forms/LH4CXZxToAL9skwa  

Confirmation email will be send out approximately on a daily base, participants will be accepted until the maximum number of participants is reached.

Participation Certificates

Participants can ask for a combined certificate for either the course, the workshop, the mini exam and the project work. For this, please fill out the following form until the 21th of October. 

Preliminary timetable:

Group 1: Master Students from the University of Freiburg
Group 2: External Participants and PhD Students
Group 3: ELO-X Members

WEEK 1      
  Mon 3-Oct Tue 4-Oct Wed 5-Oct Thu 6-Oct Fri 7-Oct Sat 8-Oct Sun 9-Oct      
  Participants: group 1, group 2, group 3        
9:00-18:00 Arrival Model Predictive Control and Reinforcement Learning Course

Social event:

Hike to Schönberg

10 am

Free day      
19:00 Welcome reception @Waldsee (group 2 and 3 only)   Snacks and drinks @Feierling (all groups)   Dinner @Dattler (group 2 and 3 only)          
WEEK 2          
  Mon 10-Oct Tue 11-Oct Wed 12-Oct Thu 13-Oct Fri 14-Oct          
Participants: group 2, group 3 group 3 Participants: group 2, group 3          
09:00-10:30 Mini course Workshop ELO-X internal meetings Collaboration session Collaboration session          
10:30-17:30 Workshop          
19:00 Welcome reception @Waldsee (group 2 and 3 only) "Get-together" @Freispiel Freiburg (all groups) Dinner (group 3 only)              


For any information/doubts/inquiries:






General organization: Moritz Diehl, Christine Paasch, Rudolf Reiter, Per Rutquist

Program committee: Joschka Boedecker, Moritz Diehl, Jasper Hoffman, Rudolf Reiter, Per Rutquist,

Website, Flyer, Forms: Andrea Ghezzi

MPCRL course: Joschka Boedecker, Moritz Diehl, Jasper Hoffman, Florian Messerer


This course has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 953348.