Reinforcement Learning

General Information

• Organized by: Dr. Gabriel Kalweit, Prof. Joschka Boedecker
• HISinOne: 11LE13V-1141
• Location: 82-0-6 (Kinohörsaal, G.-Köhler-Allee 82)
• Dates: Mondays, 16:00-18:00, lectures (no exercise sessions), first lecture will be on 20th of April!
• Lecture recordings, slides, exercises and solutions will be posted on ILIAS
• The exercises are not obligatory
• Language: English
• Email: rl-lecture-orga@informatik.uni-freiburg.de

Overview

The lecture deals with methods of Reinforcement Learning (RL) 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.