Fachbereich Informatik

64.360 Lecture: Machine Learning

Room B-201 (Konrad-Zuse Hörsaal)
Schedule starting 02.04.2014
Monday and Wednesday, 08:30-10:00
Ulrike von Luxburg, Norman Hendrich
Contents The lecture introduces the basics of machine learning including supervised learning, unsupervised learning, and reinforcement learning algorithms.
Literature (reinforcement learning) Sutton and Barto: Reinforcement Learning - an introduction, MIT Press 1998
Additional references will be announced during the lecture.

Slides webpage at group ML

Note: the slides will be updated a bit this year, please check from time to time for the latest version:
Reinforcement Learning 1
Reinforcement Learning 2
Reinforcement Learning 3

Exercises Assignment 09
Assignment 10
Assignment 11

News R.S. Sutton and A.G. Barto provide a PDF of their planned second edition of Reinforcement Learning: An Introduction for free. Please visit their book homepage.
Another recent book is Reinforcement Learning: State-of-the-Art by M. Wiering and M. van Otterlo (editors), 2012. It first discusses the basic notation and algorithms, and then provides advanced materials by many of the leading RL experts. An electronic version is available via SpringerLink (campus access).