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: 30.07.2024, 12:00-14:00 lecture hall HS2, HSZ, Friedrich-Hirzebruch-Allee 5
  Post-exam review: 08.08.2024, 14:00-15:00 in room 0.042, IZ.
   
  
• Second exam: 27.09.2024, 10:00-12:00 Meckenheimer Allee 176 - Hörsaal II
  Post-exam review: 4.10.2024, 14:00-15:00 in room 0.042, IZ.
   
  

Exercises

• Tutors: Moritz Austermann, Vincent Schönbach, Vitalii Tutevych
• Wednesdays, 8 (c.t.) - 10, 0.011, IZ, Austermann
• Wednesdays, 10 (c.t.) - 12, 0.011, IZ, Tutevych
• Wednesdays, 16 (c.t.) - 18, U.028, IZ, Schönbach
• Thursdays, 8 (c.t.)  - 10, 0.011, IZ, Austermann
• Thursdays, 10 (c.t.)  - 12, 0.011, IZ, Tutevych
• Thursdays, 16 (c.t.)  - 18, 0.011, IZ, Schönbach

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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