Below is a list of MSc/BSc thesis I supervised. A extended list including ‘second supervisor’ within LIACS is also available here.
MSc thesis
| Tom van Gelooven | |
| Alessandro Marincioni | A Quasi-Dynamic Wind Farm Reinforcement Learning Environment (..) |
| Marc Boel | Online Mutation Strategy Selection in Differential Evolution through (..) |
| Lennard Schaap | Benchmarking Reinforcement Learning Algorithms for Demand (..) |
| Juri Morisse | Analyzing and Simplifying Contrastive Reinforcement Learning |
| Koen Ponse | The XAI-Economist: Explainable Reinforcement Learning in (..) |
| Jonathan Collu | On the efficiency and robustness of structured world models (..) |
| Riccardo Majellaro | Disentangling Shape and Texture Dimensions in Object-Centric (..) |
| Jerry Schonenberg | Multi Dynamics- and Q-Learning with Shared State (..) |
| Pavlos Skevofylax | Hindsight Policy Gradient Interpolation |
| Ken Voskuil | Pre-training World Models to efficiently learn |
| Joery de Vries | Hierarchical Multistep and Q(λ) |
| Anna Deichler | Generalization and locality in the AlphaZero algorithm |
| Teo Cherici | Robotic Auxiliary Losses for continuous deep reinforcement learning |
BSc thesis
| Valeria Rezan | |
| Ashley Lo | What’s the Point of Diffusion Planning in Offline Reinforcement Learning (..) |
| Alexander Cremer | Deepseek vs OpenAI – A Comparison of GRPO and PPO in (..) |
| Rick Wieringa | Optimizing Automated, Low-Volume Liquid Transfers |
| Rutger Berger | Predicting Photovoltaic Power Output with Deep Learning |
| Wouter Mulders | Het Handelsreizigersprobleem opgelost met behulp van reinforcement (..) |