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Course: Applications of Reinforcement Learning in Engineering

Description

This course takes place in the second half of the semester. It is in the form of seminar or mini-project. Each student defines some mini-project, in which some engineering problem is addressed by using reinforcement learning. The projects are in the form of research and/or computer implementation. The progress and results are presented and discussed in the class during the semester.

Content

  1. Data Analytics
  2. Image/Speech Processing
  3. Radio Resource Allocation
  4. Load Balancing
  5. Security
  6. Internet of Things
Course Data
Course number
34332400 L 005
Course type
integrated course - seminar and project
Teaching language
English
Day
Tuesday and Thursday
Time
10-12
Room
MAR 0.003
Duration
Second half of summer semester
SWS
2
ECTS
3
Prerequisite course
Introduction to Reinforcement Learning (34332400 L 004)

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