Reinforcement Learning

• Organized by: Prof. Joschka Boedecker, Dr. Gabriel Kalweit, Jasper Hoffmann, Julien Brosseit 
• Lecture: HISinOne number: 11LE13V-1141 
  
• Language: English
• Location: HS 00 026 µ - SAAL (G.-Köhler-Allee 101)
• Dates:
• Friday 08:30-10:00, lectures (no exercise sessions), first lecture will be on 25th of October!
  
• Lecture recordings, slides, exercises and solutions will be posted on ILIAS
• The exercises will be corrected but are not obligatory.

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.

Format: 

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