VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
247-0113-00L
2
Credits
NDS
,
WBZ
D-ITET
,
D-INFK
You're viewing possible stale or outdated data. Please check the latest semester for more up-to-date information.
Reinforcement Learning Basics
Lecturers & Examiners:
Prof. Dr. Benjamin Grewe
Last Updated: 2026-02-05 16:30:11
General Information
- Language
- English
- Levels
- NDS , WBZ
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Registration & Places
Priority: Registration for the course unit is only possible for the primary target group
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Reinforcement Learning Basics
Permission from lecturers required for all students.
Block course
|
|
13 h semesterly |
Offered In
-
CAS in Applied Information Technology (The CAS takes place in Autumn Semester only.)
-