Seminar Advanced Deep Reinforcement Learning


Master Computer Science, Leiden University, The Netherlands


General information


  • The Seminar Advanced Deep Reinforcement Learning (SADRL) is a master level course taught at Leiden University.

  • The course is intended as a follow up to the master level courses Reinforcement Learning and Introduction to Deep Learning.

  • There are 12 places available (you will work in groups of 2).

  • Based on experience from previous years we advice you to (only) join when you scored an 8.0 or higher on both master courses Reinforcement Learning and Introduction to Deep Learning.


  • The goal of the course is to do actual research: re-run a state-of-the-art RL paper and/or even investigate a truly novel idea.

  • When you are lucky and your idea actually works you may be able to get a (workshop) publication from the course.

  • The course can also be an excellent starting point for an RL focused master's thesis afterwards.


Instructors: Aske Plaat & Thomas Moerland

Dates: September 12, 2022 - December 12, 2022 (every Monday)

Time: 11.00-13.00

Room: 403

Slides

Background

Reinforcement learning basics: The general basics of reinforcement learning can be studied in:



Deep reinforcement learning:


  • Long Survey: François-Lavet, V., Henderson, P., Islam, R., Bellemare, M. G., & Pineau, J. (2018). An introduction to deep reinforcement learning. Foundations and Trends® in Machine Learning, 11(3-4), 219-354. https://arxiv.org/pdf/1811.12560.pdf