I am an Assistant Professor in the Reinforcement Learning Group at Leiden University, The Netherlands. I am interested in intelligent sequential decision-making, and machine learning and AI in general. My research primarily focuses on reinforcement learning (learning through ’trial and error’ in computers), in particular on the combination of planning and learning (model-based reinforcement learning).
T.M. (Thomas) Moerland
Leiden Institute of Advanced Computer Science
Gorlaeus building, room BE.4.09
Einsteinweg 55, 2333 CC Leiden, The Netherlands
Email: t.m.moerland (at) liacs (dot) leidenuniv (dot) nl
Bio
I have two main (professional) passions: 1) intelligence (why can we do what we do?) and 2) the exact sciences (i.e., the computational perspective on this world). Departing from the first I studied medicine, where I specialized in neurology, which gave me a biological perspective on intelligence. Departing from the second I studied mathematical statistics, where I specialized towards machine learning, which provided a computational perspective on intelligence. Afterwards, both directions (with some freedom) merged in a PhD trajectory on intelligent decision-making and model-based reinforcement learning at TU Delft. I then returned to Leiden University, where my research has broadened over the full scope of reinforcement learning (and machine learning).