Reinforcement Learning
- Organized by: Prof. Joschka Boedecker, Jasper 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
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.