Lecture Robot Learning (2V+2Ü) (MA-INF 4114) 

Prof. Dr. Sven Behnke

Tuesdays 14 (c.t.) - 16,

Lecture hall HS 7, HSZ, Campus Poppelsdorf

Please register for this course in eCampus!

This lecture is one of the introductory lectures of the intelligent systems track of the master programme "Computer Science".

Creating autonomous robots that can learn to assist humans in situations of daily life is a fascinating challenge for machine learning.
The lecture covers key ingredients for a general robot learning approach to get closer towards human-like performance in robotics, such as reinforcement learning, learning models for control, learning motor primitives, learning from demonstrations and imitation learning, and interactive learning. 

Exams

• First exam: 04.08.2023, 10:00-12:00, lecture hall HS2, HSZ, Campus Poppelsdorf
                     Post-exam review: 11.08.2023, 10:00-12:00 in room 0.042, IZ
   
  
• Second exam: 22.09.2023, 10:00-12:00, lecture hall HS1, HSZ, Campus Poppelsdorf
                          Post-exam review: 28.09.2023, 10:00-11:00 in room 0.042, IZ
  

Exercises

• You must register for the exercises via TVS until April 11th 2023!
• Tutors:  Vincent Schönbach, Vitalii Tutevych, Moritz Zappel
• The first exercise will take place on April 12/13/14th 2023.
  
• Wednesdays, 16 (c.t.) - 18, U.028, IZ, Schönbach
• Thursdays, 10 (c.t.)  - 12, 0.011, IZ, Schönbach
• Thursdays, 12 (c.t.)  - 14, 0.011, IZ, Tutevych
• Thursdays, 16 (c.t.)  - 18, U.027, IZ, Tutevych
• Fridays, 10 (c.t.) - 12, 0.011, IZ, Zappel
• Fridays, 12 (c.t.) - 14, U.027, IZ, Zappel

Slides and Assignments

In the directory RL

Literature

- R.Sutton and A. Barto: Reinforcement Learning: An Introduction. MIT Press, 1998.

- O. Sigaud and J. Peters (Eds.): From Motor Learning to Interaction Learning in Robots. Springer, 2010.

- Additional literature will be announced in the lecture.

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