LIACS

Education @LIACS

Leiden University

These webpages contain information on the various educational programmes and courses offered at or by the Leiden Institute of Advanced Computer Science (LIACS), the computer science and artificial intelligence department of Leiden University.

Moerland, dr. T.

This page is for internal use at LIACS only. The information below may be incomplete.

Courses
YearCourseBSc/MScStaffProgrammesECTSLevelPeriod
2026‑2027Artificial Intelligence & Robotics Challenge (4032AIROB)BScBroekens, dr.ir. D.J., Moerland, dr. T.DSAI2200
2026‑2027Introduction to Reinforcement Learning (4032IRLRXY)BScMoerland, dr. T.Inf, DSAI6300
2026‑2027Seminar Advanced Deep Reinforcement Learning (4343SADRL)MScMoerland, dr. T.CS6500
2025‑2026Artificial Intelligence & Robotics Challenge (4032AIROB)BScBroekens, dr.ir. D.J., Moerland, dr. T.Inf, DSAI2200
2025‑2026Introduction to Reinforcement Learning (4032IRLRXY)BScMoerland, dr. T.Inf, DSAI6300
2025‑2026Seminar Advanced Deep Reinforcement Learning (4343SADRL)MScMoerland, dr. T.CS6500
2024‑2025Artificial Intelligence & Robotics Challenge (4032AIROB)BScBroekens, dr.ir. D.J., Moerland, dr. T.Inf, DSAI2200
2024‑2025Introduction to Reinforcement Learning (4032IRLRN)BScMoerland, dr. T.Inf, BioInf, DSAI6300
2024‑2025Seminar Advanced Deep Reinforcement Learning (4343SADRL)MScMoerland, dr. T.CS6500
2023‑2024Artificial Intelligence & Robotics Challenge (4032AIROB)BScBroekens, dr.ir. D.J., Moerland, dr. T.Inf, DSAI2200
2023‑2024Introduction to Reinforcement Learning (4032IRLRN)BScMoerland, dr. T., Pelt, dr. D.M.Inf, BioInf, DSAI6300
2023‑2024Reinforcement Learning (4343REINLY)MScMoerland, dr. T., Plaat, prof.dr. A.CS, IiB&PS6500
2023‑2024Seminar Advanced Deep Reinforcement Learning (4343SADRLY)MScMoerland, dr. T., Plaat, prof.dr. A.CS6500
2022‑2023Introduction to Reinforcement Learning (4032IRLRN)BScMoerland, dr. T., Pelt, dr. D.M.Inf, BioInf, DSAI6300
2021‑2022Introduction to Reinforcement Learning (4032IRLRN)BScMoerland, dr. T., Pelt, dr. D.M.Inf, BioInf6300
Supervised theses

Information below is sourced from the LIACS Thesis Repository.

Year Student Thesis Supervisors Programme
2025‑2026Ouwehand, V. (Valentijn)Adversarial Honeypot Detection and Deployment with Reinforcement Learn...Makri, dr.ir. E., Moerland, dr. T.Inf
2024‑2025Cremer, A. (Alexander)Deepseek vs OpenAI - A Comparison of GRPO and PPO in Reinforcement Lea...Moerland, dr. T., K. Ponse MScDSAI
2024‑2025Iqbal, K. (Keith)Optimizing Deep Reinforcement Learning Architectures for Pacman: A Com...Bonsangue, prof.dr. M.M., Moerland, dr. T.DSAI
2024‑2025Lo, 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
2024‑2025Rezan, V. (Valeria)Decoupling Exploration and Exploitation in Intrinsic Motivation Method...Moerland, dr. T., L.J. SpoorDSAI
2025Renting, B.M. (Bram)Learning in Automated NegotiationHoos, prof.dr. H.H., Jonker, prof.dr. C.M., Moerland, dr. T.PhD
2025Yang, (Zhao)Enhancing Autonomy And Efficiency In Goal-Conditioned Reinforcement Le...Plaat, prof.dr. A., Preuss, dr. M., Moerland, dr. T.PhD
2024‑2025Gelooven, T. van (Tom)On the Application of State Space Models to Partially Observable Marko...Moerland, dr. T., Ir. A. Serra-GómezCS
2024‑2025Marincioni, A. (Alessandro)A Quasi-Dynamic Wind Farm Reinforcement Learning Environment with Wake...ir. A. Serra-Gómez, Moerland, dr. T.CS
2024‑2025Wierenga, R. (Rick)Optimizing Automated, Low-Volume Liquid TransfersMoerland, dr. T., Verbeek, prof.dr.ir. F.J., K. EsveltInf
2023‑2024Berger, R. (Rutger)Predicting Photovoltaic Power Output with Deep LearningMoerland, dr. T., K. PonseDSAI
2023‑2024Boel, M. (Marc)Online Mutation Strategy Selection in Differential Evolution through D...Kononova, dr. A.V., Moerland, dr. T.CS
2023‑2024Morisse, J. (Juri)Analyzing and Simplifying Contrastive Reinforcement LearningMoerland, dr. T., KleukerCS
2023‑2024Ponse, K. (Koen)The XAI-Economist: Explainable Reinforcement Learning in RL-Assisted P...Moerland, dr. T., Stein, dr. N. vanCS
2023‑2024Schaap, L. (Lennard)Benchmarking Reinforcement Learning Algorithms for Demand Response in ...Moerland, dr. T., K. PonseCS
2023‑2024Wierenga, R. (Rick)Optimizing Automated, Low-Volume Liquid TransfersMoerland, dr. T., Verbeek, prof.dr.ir. F.J., Kevin EsveltInf
2022‑2023Janssens, L. (Lex)Crossy Road AI: How will the chicken cross the road?Müller-Brockhausen, dr. M.F.T., Moerland, dr. T.DSAI
2022‑2023Collu, J. (Jonathan) On the efficiency and robustness of structured world models combined w...Moerland, dr. T., Plaat, prof.dr. A.CS
2022‑2023Majellaro, R. (Riccardo)Disentangling Shape and Texture Dimensions in Object-Centric Represent...Moerland, dr. T., Plaat, prof.dr. A.CS
2022‑2023Schonenberg, JerryMulti Dynamics and Q-Learning with Shared State Representation for Bat...Moerland, dr. T., Plaat, prof.dr. A.CS
2022‑2023Simons, ThijsThe Training of Neural Networks that can Train Neural NetworksRijn, dr. J.N. van, Moerland, dr. T.CS
2022‑2023Mulders, W.M. (Wouter)Het Handelsreizigersprobleem opgelost met behulp van reinforcement lea...prof. Dr. F.M. Spieksma, Moerland, dr. T.Inf
2021‑2022Õunmaa, M.Analyzing AI players on different Ticket to Ride variantsPreuss, dr. M., Moerland, dr. T.CS
2021‑2022Voskuil, K.Pre-training World Models to efficiently learn related tasksPlaat, prof.dr. A., Moerland, dr. T.CS

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