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.
- 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.
.Universität Bonn, Institute for Computer Science, Departments: I, II, III, IV, V, VI