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Spezialvorlesung (Special Lecture) KI (D)

Reinforcement Learning (Optimierendes Lernen)
Prof. Dr. M. Riedmiller and Dr. Thomas Gabel

  • lectures:
    • Tuesday, 11:00 - 13:00, 101, Room 001/18
    • Thursday, 11:00 - 13:00, 101, Room 001/18
  • Practices (after announcement):
    • Tuesday or Thursdays, 11:00 - 13:00, 101, Room 001/18
  • Exam:
    • PLEASE NOTE: You have to visit >=50% of the practices and solve exercise sheet 2, in order to be allowed to do the exam!
    • Date: see German Version
    • Registration: via the exmamination office
  • Creditpoints:
    • 6 ECTS
  • Lanuage:
    • Deutsch/German

Overview:

The lecture discusses Reinforcement Learning scenarios and solution methods. In Reinforcement Learning, the learner only gets information about success and failure of its task. We will discuss solution methods along the framework of Markov Decision Processes.

Slides

Practices

Exam

Please note: In order to be allowed to do the exam you

  • have to visit >=50% of the practices and
  • are required to solve the exercises on the compulsory exercise sheet 2.

Further information will be announced during the lectures. Also see German Version