Lecture Robot Learning (2V+2Ü) (MA-INF 4114) (B,C) [B4]

Prof. Dr. Sven Behnke

Tuesdays 14:30 - 16:00

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

This lecture is one of the introductory lectures of the intelligent systems track of the master programme "Computer Science".
It is open for CS diploma students [B4].

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, FEA, room E23, Tutor: Andreas Müller
• Thursdays 12:30-14, FEA, room E23, Tutor: Andreas Müller

Exams

• Written exam: July 28th, 10:00-12:00, FEA, lecture hall III.3a
• Make-up exam: September 20th, 10:00-12:00, FEA, lecture hall III.3a

Slides and Assignments

 

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.