M. (Matthia) Sabatelli, PhD

I'm a full-time lecturer at the Faculty of Science and Engineering where I'm the coordinator of the following courses:

• Reinforcement Learning Practical: BSc. Artificial Intelligence
• Deep Learning: MSc. Artificial Intelligence
• Deep Reinforcement Learning: MSc. Artificial Intelligence

Next to that, I supervise BSc. and MSc. students who are interested in doing some research in machine learning. If you are curious about what a thesis under my supervision looks like here are some nice examples of successful projects which have led to a scientific publication:

• Julius Wagenbach: "Factors of Influence on the Overestimation Bias in Q-Learning" This work resultes in the following paper which was accepted for publication at BNAIC/BeNeLearn 2022
• Remo Sasso: Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning This work is currently under-review
• Vincent Tonkes: "Transferability of Vision Transformers: The key to success on small art classification datasets?"  This work resulted in the following paper being accepted for publication at the European Conference on Computer Vision (ECCV)
• Tom Kosters:  "On the presence of Winning Tickets in Reinforcement Learning" This work was accepted for presentation at the Sparsity in Neural Networks Workshop 2022