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263-5255-10L
2
Credits
DR
D-INFK
Foundations of Reinforcement Learning (Only Assignments)
Lecturers & Examiners:
Prof. Dr. Niao He
Does not take place this semester.
Only for Ph.D. students!
Will be offered again in FS23!
Last Updated: 2026-02-05 16:02:02
Content
This course focuses on theoretical and algorithmic foundations of reinforcement learning, through the lens of optimization, modern approximation, and learning theory. The course targets students with strong research interests in reinforcement learning, optimization under uncertainty, and data-driven control.
General Information
- Language
- English
- Levels
- DR
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| independent project |
Foundations of Reinforcement Learning (Only Assignments)
Does not take place this semester.
|
No time listed | 60 h semesterly |
Offered In
-
Doctorate Computer Science (More Information at: )