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Module: Introduction to Reinforcement Learning


The module is developed to provide an introduction to reinforcement learning, with an emphasis on applications in engineering. It consists of two courses in sequence. The first course, which takes place during the first half of the semester, is held in the conventional frontal teaching form. During this part, basic models and concepts of reinforcement learning are introduced. The second course, which takes place in the second half of the semester, is in the form of seminar or mini-project. Each student defines some mini-project, in which some engineering problem is addressed by using reinforcement learning. The projects are in the form of research and/or computer implementation. The progress and results are presented and discussed in the class during the semester.

Module Data
Module code
Teaching language
6 LP/Credit Points
Type of examination
portfolio, examination registration at QISPOS/Prüfungsamt within the first 6 weeks of the lecture period
Minimum duration
one semester
max. 20 students

Registration Procedure

Please write an e-mail to: teaching@ccan.tu-berlin.de until April 10.
Please provide the following information in your e-mail:

  • your name,
  • your study program,
  • your current semester count.

List of target study programs

  • Automotive Systems (Master of Science)
  • Computer Engineering (Master of Science)
  • Computer Science (Informatik) (Master of Science)
  • Electrical Engineering (Master of Science)
  • Wirtschaftsinformatik / Information Systems Management (Master of Science)
  • Wirtschaftsingenieurwesen (Master of Science)

Zusatzinformationen / Extras


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