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263-5255-10L
2
Credits
DR
D-INFK
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Foundations of Reinforcement Learning (Only Assignments)
Lecturers & Examiners:
Prof. Dr. Niao He
Only for Ph.D. students! Last cancellation/deregistration date for this graded semester performance: Thursday, 28 October 2021! Please note that after that date no deregistration will be accepted and the course will be considered as "fail".
Last Updated: 2026-02-05 15:48:04
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) | No time listed | 60 h semesterly |
Offered In
-
Doctoral Department of Computer Science (More Information at: )