direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Advanced Topics in Reinforcement Learning


General information

  • The lecture and tutorials are held in English.
  • The course is open to TU students as well as exchange students and visiting students.
  • No formal registration is required to attend the course or even possible. The registration is only relevant for the exam.
  • The exam registration procedure is announced in the first lecture. Prior registration/reservation is not possible.
  • Each student has to present at least one paper on a state of the art algorithm in RL (A list of papers will be uploaded soon).
  • Students can form groups and apply at least one of the algorithms to the toy-model of their choice.



  • Partial observability on Reinforcement learning.
  • RL methods for training multiple-agents.
  • RL and meta learning


  • Solid mathematical knowledge: analysis, linear algebra, probability calculus and statistics.
  • Basic programming skills, preferably Python


List of Papers

Conceptual Approaches:

 Technical Approaches:



ISIS page!

For further information please consult Vaios Laschos (lecturer, in charge).



Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions


Advanced Topics in Reinforcement Learning

Lecturer: Vaios Laschos

16.10.2019 to 19.02.2019

We 14:00 - 16:00 o'clock

Location: MAR 5.060