Reinforcement Learning

• Organized by: Prof. Joschka Boedecker, Dr. Gabriel Kalweit, Yuan Zhang, Erfan Azad, Julien Brosseit 
• Lecture: HISinOne number: 11LE13V-1141
• Language: English
• Location: building 101, HS 00 026
• Dates:
• Wednesday 16:00-18:00, lectures
• Friday 08:00-10:00, exercises and occasionally lectures (Nov 3, Nov 24, Dec 8, Dec 22, Jan 19)
• Lecture recordings, slides, exercises and solutions will be posted on ILIAS

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.

Exam: 

• Date: March 8th, 10:00-11:30
• Location: Building 101, HS 00-026 and HS 00-036