2.1.4 Data-efficient reinforcement learning
Module 2: AI in Practice: Preparing for AI
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.
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