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Reinforcement Learning




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