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CS5074-KP08 - Automated Planning and Reinforcement Learning (AmPlReLe)


1 Semester

Turnus of offer:

each summer semester

Credit Points:


Course of study, specific field and term:
  • Certificate in Artificial Intelligence (compulsory), Artificial Intelligence, 2nd semester
Classes and lectures:
  • CS5072-V: Automated Planning and Acting (lecture, 2 SWS)
  • CS5072-S: Automated Planning and Acting (seminar, 1 SWS)
  • CS5430-S: Seminar Machine Learning (seminar, 2 SWS)
  • 150 Hours private studies
  • 75 Hours in-classroom work
  • 15 Hours exam preparation
Contents of teaching:
  • Planning and acting with deterministic models
  • Planning and acting with refinement
  • Planning and acting with temporal models
  • Planning and acting with nondeterministic models
  • Decision theory: Making simple and complex decisions
  • Planning and acting with probabilistic models
  • Provably beneficial planning and acting
  • Independent study of a specific field of machine learning
  • All current techniques taught in the module and described above can be named and defined by the students and their functional proofs can be explained on the basis of applications.
  • Students are able to identify advantages and disadvantages of planning and acting approaches.
  • Students are able to identify ethical aspects and assess their implications.
  • Students can read and understand scientific articles in the field of machine learning.
  • Students can present the contents of scientific articles in the field of machine learning in a talk.
Grading through:
  • Oral examination
Responsible for this module:
  • Prof. Dr. rer. nat. habil. Ralf Möller
  • Institute of Information Systems
  • Institute for Neuro- and Bioinformatics
  • Prof. Dr. rer. nat. habil. Ralf Möller
  • Prof. Dr.-Ing. Erhardt Barth
  • Malik Ghallab, Dana Nau, Paolo Traverso: Automated Planning and Acting
  • S. J. Russell and P. Norvig: Artificial Intelligence – A Modern Approach - Prentice Hall, 2012
  • Current conference and journal articles on the topics of the event will be announced at the beginning of the event in the case of the seminar and at the discussion of the topic in the case of the lecture.
  • offered only in English

Prerequisites for attending the module:
- None

Prerequisites for the exam:
- None

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