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Reinforcement Learning


  • Organized by: Prof. Joschka BoedeckerJasper Hoffmann, Yuan Zhang
  • Lecture: HISinOne number: 11LE13V-1141
  • Language: English
  • Location: building 101, HS 00 026
  • Dates:
    • Wednesday 16:00-18:00, exercises and occasionally lectures
    • Friday 08:00-10:00, lectures
    • First lecture on October 21, 2022
    • First exercise session on November 9, 2022
    • There is no exercise or lecture at October 26, 2022 and November 2, 2022
  • Lecture recordings, slides, exercises and solutions will be posted on ILIAS



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.



The course will be given in person, lectures will be recorded and uploaded to ILIAS.


Exam: TBA (likely in the second half of March 2023)