Practical Course Development of Media Systems: Reinforcement Learning
Lecturers: Sylvia Rothe, Yannick Weiß
Professor in Charge: Prof. Sven Mayer
Hours per week: 4
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
- 19.08.2021: Given the current situation on how we are allowed to run in-person lectures at least parts of the lecture if not all are very likely to be held in person.
- 15.07.2021: This page is still under development, all content may be subject to change.
Contents
We work on solutions for the use of Machine Learning for Media Systems. During the first week we will learn some basics and consolidate it in small exercises using Python. In the second week, you should implement your own ideas and present it as a prototype.
The presentations during the internship will be held in German.The ideas will be implemented and presented as a prototype.
The lectures during the internship will be held in German.
Application
Interested students can apply for this practical course via Uni2Work .
The applications should include the following information:
- Describe relevant expertise, for example from previous courses, jobs and other projects, if any, that demonstrate your skills.
- If you already have a project idea that you would like to implement in this course, please sketch it out briefly.
Other lectures on the topic
- Human Computer Interaction
- Machine Learning, e.g. Pratical Machine Learning, Intelligent User Interfaces
Schedule
- Monday-Friday, 7.3.-18.3.2022 (10:00-17:00)
- Monday 7.3.2022 (10:00-17:00) Introduction, overview, terms
- Tuesday 8.3.2022 (10:00-17:00) Reinforcement Learning
- Wednesday 9.3.2022 (10:00-17:00) Imitation Learning
- Thursday 10.3.2022 (10:00-17:00) Curriculum Learning
- Friday 11.3.2022 (10:00-17:00) Project and Team Finding
- Monday-Friday, 14.3.-18.3.2022 (10:00-17:00) Work on the projects
- Friday, 18.3.2022 (13:00-17:00) presentation
Location
The course takes place online or at Frauenlobstr. 7A, depending on the situation
Rules for Online Teaching
While LMU is closed, most teaching happens currently online. As teachers, we ask you to be forgiving if things should not work perfectly right away, and we hope for your constructive participation. In this situation, we would also like to explicitly point out some rules, which would be self-evident in real life:- In live meetings, we ask you to responsibly deal with audio (off by default) and bandwidth (video as needed).
- Recording or redirecting streams by participants is not allowed.
- Distributing content (video, audio, images, PDFs, etc.) in other channels than those foreseen by the author is not allowed.
