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

Prof. Dr. Sven Behnke

Tuesdays 14:30 - 16:00

Lecture hall: Friedrich-Ebert-Allee 144, III.3a

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. 

Exercises

• Thursdays, 10:30-12:00, room E.23, Friedrich-Ebert-Allee 144
• Thursdays, 12:30-14:00, room E.23, Friedrich-Ebert-Allee 144
  
• First excercise on April 16th.

• Tutor: Yongfeng Zhong
  

Exam dates

• First exam: August 4th, 2015, 10‐12h
• Make-up exam: September 18th, 2015, 12‐14h
• Location: Lecture Hall III.03a, Friedrich-Ebert-Allee 144
  

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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