| Year |
Student |
Thesis | Supervisors | Programme | Content |
|---|
| 2025‑2026 | Ouwehand, V. (Valentijn) | Adversarial Honeypot Detection and Deployment with Reinforcement Learn... | Makri, dr.ir. E., Moerland, dr. T. | Inf | |
| 2024‑2025 | Iqbal, K. (Keith) | Optimizing Deep Reinforcement Learning Architectures for Pacman: A Com... | Bonsangue, prof.dr. M.M., Moerland, dr. T. | DSAI | |
| 2024‑2025 | Lo, F.J.A. (Fong Jing Ashley) | What’s the Point of Diffusion Planning in Offline Reinforcement Lear... | Ir. A. Serra-Gómez, Moerland, dr. T. | DSAI | |
| 2024‑2025 | Cremer, A. (Alexander) | Deepseek vs OpenAI - A Comparison of GRPO and PPO in Reinforcement Lea... | Moerland, dr. T., K. Ponse MSc | DSAI | |
| 2024‑2025 | Rezan, V. (Valeria) | Decoupling Exploration and Exploitation in Intrinsic Motivation Method... | Moerland, dr. T., L.J. Spoor | DSAI | |
| 2025 | Renting, B.M. (Bram) | Learning in Automated Negotiation | Hoos, prof.dr. H.H., Jonker, prof.dr. C.M., Moerland, dr. T. | PhD | |
| 2025 | Yang, (Zhao) | Enhancing Autonomy And Efficiency In Goal-Conditioned Reinforcement Le... | Plaat, prof.dr. A., Preuss, dr. M., Moerland, dr. T. | PhD | |
| 2024‑2025 | Marincioni, A. (Alessandro) | A Quasi-Dynamic Wind Farm Reinforcement Learning Environment with Wake... | ir. A. Serra-Gómez, Moerland, dr. T. | CS | |
| 2024‑2025 | Gelooven, T. van (Tom) | On the Application of State Space Models to Partially Observable Marko... | Moerland, dr. T., Ir. A. Serra-Gómez | CS | |
| 2024‑2025 | Wierenga, R. (Rick) | Optimizing Automated, Low-Volume Liquid Transfers | Moerland, dr. T., Verbeek, prof.dr.ir. F.J., K. Esvelt | Inf | |
| 2023‑2024 | Berger, R. (Rutger) | Predicting Photovoltaic Power Output with Deep Learning | Moerland, dr. T., K. Ponse | DSAI | |
| 2023‑2024 | Boel, M. (Marc) | Online Mutation Strategy Selection in Differential Evolution through D... | Kononova, dr. A.V., Moerland, dr. T. | CS | |
| 2023‑2024 | Morisse, J. (Juri) | Analyzing and Simplifying Contrastive Reinforcement Learning | Moerland, dr. T., Kleuker | CS | |
| 2023‑2024 | Ponse, K. (Koen) | The XAI-Economist: Explainable Reinforcement Learning in RL-Assisted P... | Moerland, dr. T., Stein van, dr. N. | CS | |
| 2023‑2024 | Schaap, L. (Lennard) | Benchmarking Reinforcement Learning Algorithms for Demand Response in ... | Moerland, dr. T., K. Ponse | CS | |
| 2023‑2024 | Wierenga, R. (Rick) | Optimizing Automated, Low-Volume Liquid Transfers | Moerland, dr. T., Verbeek, prof.dr.ir. F.J., Kevin Esvelt | Inf | |
| 2022‑2023 | Janssens, L. (Lex) | Crossy Road AI: How will the chicken cross the road? | Müller-Brockhausen, dr. M.F.T., Moerland, dr. T. | DSAI | |
| 2022‑2023 | Simons, Thijs | The Training of Neural Networks that can Train Neural Networks | Rijn van, dr. J.N., Moerland, dr. T. | CS | |
| 2022‑2023 | Collu, J. (Jonathan) | On the efficiency and robustness of structured world models combined w... | Moerland, dr. T., Plaat, prof.dr. A. | CS | |
| 2022‑2023 | Majellaro, R. (Riccardo) | Disentangling Shape and Texture Dimensions in Object-Centric Represent... | Moerland, dr. T., Plaat, prof.dr. A. | CS | |
| 2022‑2023 | Schonenberg, Jerry | Multi Dynamics and Q-Learning with Shared State Representation for Bat... | Moerland, dr. T., Plaat, prof.dr. A. | CS | |
| 2022‑2023 | Mulders, W.M. (Wouter) | Het Handelsreizigersprobleem opgelost met behulp van reinforcement lea... | prof. Dr. F.M. Spieksma, Moerland, dr. T. | Inf | |
| 2021‑2022 | Õunmaa, M. | Analyzing AI players on different Ticket to Ride variants | Preuss, dr. M., Moerland, dr. T. | CS | |
| 2021‑2022 | Voskuil, K. | Pre-training World Models to efficiently learn related tasks | Plaat, prof.dr. A., Moerland, dr. T. | CS | |
