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

Dr. Nils Goerke

Tuesdays 14 (c.t.) - 16,

The lecture took place online via Zoom.

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

• Tutorials will be given online,
• Registration via TVS by tbd

Slides and Assignments

were provided via eCampus

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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