Department of Computational Perception
Department of
Computational Perception
Johannes Kepler Universitšt Linz


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Special Topics: Reinforcement Learning


344.056, KV, 3h (4.5 ECTS), WS 2017/18

Univ. Ass. Dipl.-Ing. Rainer Kelz
Ass. Prof. Dr. Andreas Arzt
Univ. Ass. Dipl.-Ing. Matthias Dorfer


Time:
Thursday, 12:45 - 14:30
Start: Thursday, Oct. 5, 2017
Location: see KUSSS!

This class will be taught in English.

Class Objectives and Content

The lecture gives an introduction to the basics of reinforcement learning and covers the following topics: The content of this lecture is mainly based on the book: "Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto.
A draft of the book should be available here.

There will also be complementary practical exercieses to improve the understanding of the material tought in the class in the form of homework assignments. The assignments consist of analytical problems and programming exercises. Programming exercises will be solved using the Python programming language (no prior knowledge is required, there will be a short introduction in the first lesson).

Questions, suggestions, complaints, etc.

Matthias Dorfer
Tel. 0732 2468 4714




last edited by md on Oct 4, 2017