Matthijs T. J. Spaan
About
Matthijs T. J. Spaan has authored 74 papers that have received a total of 1.4k indexed citations.
This includes 48 papers in Artificial Intelligence, 16 papers in Management Science and Operations Research and 14 papers in Computer Networks and Communications. The topics of these papers are Reinforcement Learning in Robotics (40 papers), Bayesian Modeling and Causal Inference (18 papers) and Auction Theory and Applications (10 papers). Matthijs T. J. Spaan is often cited by papers focused on Reinforcement Learning in Robotics (40 papers), Bayesian Modeling and Causal Inference (18 papers) and Auction Theory and Applications (10 papers) and collaborates with scholars based in The Netherlands, Portugal and United States. Matthijs T. J. Spaan's co-authors include Pedro U. Lima, Frans A. Oliehoek, Nikos Vlassis, Mathijs de Weerdt and Pavol Bauer and has published in prestigious journals such as IEEE Transactions on Power Systems, Sensors and IEEE Access.
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