101.879 AKNUM Advanced Reinfordement Learning
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022W, VU, 2.0h, 3.0EC, to be held in blocked form


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to understand the advanced theory of reinforcement learning as well as to implement and to apply advanced reinforcement-learning algorithms to selected, realistic problems.

Subject of course

Theory and application of advanced reinforcement-learning algorithms, including in particular mathematical foundations and recent research results.

Teaching methods

Online lecture and lecture notes.  In the tutorial part of the class, algorithms are implemented (recommended in Julia, but also in another language if desired) and later on presented together with relevant theory.

Mode of examination




Course dates

Thu09:00 - 10:0026.01.2023Sem.R. DA grün 04 Advanced Reinforcement Learning
Course is held blocked

Examination modalities

Tutorial part.  Oral and/or written exam (depending on number of participants).

Course registration

Not necessary


Study CodeObligationSemesterPrecon.Info
860 GW Optional Courses - Technical Mathematics Not specified


No lecture notes are available.

Previous knowledge

VU Reinforcement Learning 101.789 or very good knowledge in reinforcement learning (in particular the textbook by Sutton & Barto).


if required in English