Elise van der Pol, a PhD candidate at the Amsterdam Machine Learning Lab, supervised by Prof. Dr. Max Welling (UvA), presents a use case on the topic of data-efficient reinforcement learning.

This video lesson is based on a scientific study; below we provide some additional information about this study. Note: This additional information is not mandatory for the course and is primarily intended for learners who wish to dive deeper into the material.

• Elise van der Pol, Daniel E. Worrall, Herke van Hoof, Frans A. Oliehoek, and Max Welling (2020). Mdp homomorphic networks: Group symmetries in reinforcement learning. arXiv preprint arXiv:2006.16908.