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

Dr. Nils Goerke

Tuesdays 14:30 - 16:00

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

Exercises:

Link to the

Exercises

Resit Exam

Date for the resit exam is Thursday, 11, Octobre, 2012, LBH III.03a, 10:00-12:00

Written Examination

Written examination, will be on Monday 23.7.2012, 10:00-12:00, Lecture Hall 2, Roemerstr. 164
You will need more than 50 percent of the maximal points from the assignments to be admitted to the exam.
In general, working on the assignments carefully is a good preparation for the exam.

Exercises groups

At the moment we have arranged two exercise dates.
Exercises are on a voluntary basis.
Exercise groups start on Wednesday 18.April, Friday 20.April.

Group	Day	Time	Room
A	Wednesday	13:00 - 14:45	E.23, LBH
B	Friday	10:00 - 11:30	E.23, LBH

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. 

 

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 mentioned in the lecture.

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