Practical Course Development of Media Systems: Reinforcement Learning
Professor in Charge: Prof. Sven Mayer
Lecturers: Yannick Weiß, Florian Bemmann, and Carl Oechsner
Hours per week: 4
Language: German/English
ECTS-Credits: 6
Modul: Master P5.0.2 oder P5.0.4: Gruppenpraktikum zu fortgeschrittenen Themen der Informatik I oder Informatik II
After consultation with the examination board, credit for P2, P3 or P6 (advanced topics for Master) also possible
News
- 20.06.2022: This page is still under development, all content may be subject to change.
Syllabus
This course aims to teach students about current research areas of Reinforcement Learning (RL) in the domain of Human-Computer Interaction (HCI) and the necessary knowledge to implement ideas in that field. Students will use Unity and Python as the development environment.
During the semester, students will learn about the abovementioned topics and consolidate the knowledge gained in small exercises. In a week-long session at the end of the semester, they will implement a novel Reinforcement Learning system in groups of 3-4 people using Unity and present their findings in a final presentation session.
Application
Interested students can apply for this practical course via Uni2Work. The applications have to include the following information as stated in Uni2Work.
Recommended Prior Knowledge
- Human-Computer Interaction
- Machine Learning, e.g., Pratical Machine Learning, Intelligent User Interfaces
Schedule
Dates with mandatory attendance are marked with an "*".
| Date | Time | Topic |
|---|---|---|
| TBA | TBA | TBA |
| TBA | TBA | Introduction |
Location
Location: Thalkirchner Straße 36, 257(enter building at Frauenlobstraße 7A)
