I am a PhD student at the Artificial Intelligence group,  Delft University of Technology, The Netherlands. I started late 2015, and my supervisors are Joost Broekens and Catholijn Jonker.

I am interested in long-term intelligent decision-making, and machine learning and AI in general. My research focuses on the intersection between reinforcement learning and tree search, especially to improve the exploration/exploitation trade-off. Earlier work focused on the same challenge from a Bayesian deep learning perspective.

Keywords: Reinforcement learning, machine learning, Monte Carlo Tree Search, (Bayesian) deep learning, variational inference, predictive uncertainty.



T.M. (Thomas) Moerland

E: T.M.Moerland(at)tudelft.nl


Delft University of Technology

Mathematics & Computer Science building,

Room W6.540

Van Mourik Broekmanweg 6, 2628 XE, Delft

The Netherlands


Curriculum vitae :