MIN-Fakultät
Fachbereich Informatik
TAMS

64.360 Lecture: Machine Learning

Room B-201 (Konrad-Zuse Hörsaal)
Schedule starting 01.04.2015
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 Reinformcement Learning:
  • Sutton and Barto: Reinforcement Learning (Draft of 2nd. Ed., 2013) 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).
  • Additional references will be announced during the lecture.
Slides Coming soon (under revision).
webpage at group ML

Reinforcement Learning 1
Reinforcement Learning 2
Reinforcement Learning 3

Exercises In-class Assignment 02
Assignment 10

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