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Matthijs Spaan is a Professor in the field of Planning Algorithms at Delft University of Technology. His research interests primarily lie in the areas of Markov processes, Reinforcement Learning, and Distribution. He has made significant contributions to the understanding of planning under uncertainty and has published extensively in reputable journals. Spaan's work involves both theoretical advancements and practical applications, focusing on how algorithms can be developed to improve decision-making processes in complex environments. His expertise encompasses a blend of rigorous mathematical foundations and innovative computational techniques. Furthermore, he is actively involved in teaching and guiding students in the disciplines related to artificial intelligence and operations research.
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