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Coding Lab: Deep Reinforcement Learning

MGT001389Master's Modules6 ECTSEnglishsummer semesterProfessur für Business Analytics and Intelligent Systems (Prof. Minner komm.)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You work on a real application case in the area of Deep Reinforcement Learning. Building on the fundamentals of the course "Introduction to Deep Reinforcement Learning" you will learn to design and implement advanced DRL methods to solve practical problems.

What you will be able to do

  • Structure the research question and conduct literature review
  • Select and develop models, software and algorithms
  • Document scientific results in writing (seminar paper)
  • Present and discuss research results academically
  • Work in an environment strongly shaped by current research

What the module consists of

  • Seminar/ProjektarbeitProcessing a case study in small groups with weekly supervision and milestones
  • PräsentationPresentation and discussion of the work results
  • SeminararbeitWritten documentation of the conducted research

Teaching method

  • Introductory lectureConveying the topic, trends and challenges
  • Case study work in small groupsApplication and deepening of literature research, modeling and programming
  • Weekly supervision and feedbackSupport for progress and milestones
  • Presentations and discussionsReflection of the work and training of presentation skills
  • Inverted ClassroomPromoting independent learning through preparatory literature work
No dates in the current semester yet
There are no course dates for this module this semester yet. They usually get added during the semester.
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SeminarCoding Lab: Deep Reinforcement Learning (MGT001389, englisch) (Limited places)2 groups to choose from

  • AThu09:00–12:000544, Seminarraum (0505.EG.544)
    4× · 23.04.–09.07.
    • 23.04.
    • 11.06.
    • 02.07.
    • 09.07.
  • AThu09:00–13:00Online: Videokonferenz
    6× · 30.04.–25.06.
    • 30.04.
    • 07.05.
    • 21.05.
    • 28.05.
    • 18.06.
    • 25.06.
  • BThu12:00–13:000544, Seminarraum (0505.EG.544)once on 23.04.

From an earlier semester, for reference only.

Show TUMonline data
Sprache
Englisch
Turnus
Sommersemester
Modulniveau
Master
Moduldauer
Einsemestrig
Gesamtstunden
180
Präsenzstunden
60
Eigenstudiumstunden
120
Organisationsname
Professur für Business Analytics and Intelligent Systems (Prof. Minner komm.)

Courses

  • Coding Lab: Deep Reinforcement Learning
  • Coding Lab: Deep Reinforcement Learning

Official page in TUMonline · Details are not binding.