Special Lecture (Spezialvorlesung) (E)

Reinforcement Learning (Optimierendes Lernen)
Dr. Joschka Bödecker

  • Announcements:
    • first lecture: 18.10.2016
    • Exercises alternating with lectures as announced
  • Lectures / Exercises
    • Tuesday, 16:00 - 18:00, bldg. 101 - HS 00 036 SCHICK - SAAL
    • Wednesday, 16:00 - 18:00, bldg. 101 - HS 00 036 SCHICK - SAAL
    • extra lectures will be held on 11/24, 12/1, 12/8 (bldg. 101 - HS 00 036)
  • Exam
    • Bachelor: oral exams, March 21st, 2017, from 9:30am (30min slots) in room 00010 of bldg. 079.
    • Master: written exam, March 20th, 2017, 10:00am, Kinohörsaal in bldg. 082
  • Credit points:
    • 6 ECTS
  • Language:
    • English

Overview:

The lecture deals with methods of Reinforcement Learning that constitute an important class of machine learning algorithms. Starting with the formalization of problems as Markov decision processes, a variety of Reinforcement Learning methods are introduced and discussed in-depth. The connection to practice-oriented problems is established throughout the lecture based on many examples.

Exercise Sessions:

  • 11/16, 11/29, 12/7, 12/20, 1/17, 1/24, 2/7

Materials:

Materials such as slides, assignments, solutions, and recordings are available via ILIAS: RL Course

Books: