This lecture is part of the Intelligent Systems course series offered at the University of Tübingen by the MPI for Intelligent Systems.
Fr 12c.t. - 14 Lecture in A301,
Fr. 14c.t. - 16 Recitation in A301.
See also the see also the entry in "Campus Verwaltung".
The course will provide you with the theoretical and practical knowledge of a Reinforcement Learning, subset of Machine Learning, mostly suitable for robotic applications. We start with a brief overview of supervised learning, model selection etc, and spend the most time on reinforcement learning. The exercises will help you to get Hands On with the methods and deepen your understanding.
The lecture will be given by Georg Martius and Jia-Jie Zhu in English.