Frans A. Oliehoek
About
Frans A. Oliehoek has authored 47 papers that have received a total of 801 indexed citations.
This includes 38 papers in Artificial Intelligence, 11 papers in Management Science and Operations Research and 8 papers in Computational Theory and Mathematics. The topics of these papers are Reinforcement Learning in Robotics (25 papers), Bayesian Modeling and Causal Inference (11 papers) and Auction Theory and Applications (6 papers). Frans A. Oliehoek is often cited by papers focused on Reinforcement Learning in Robotics (25 papers), Bayesian Modeling and Causal Inference (11 papers) and Auction Theory and Applications (6 papers) and collaborates with scholars based in The Netherlands, United Kingdom and United States. Frans A. Oliehoek's co-authors include Matthijs T. J. Spaan, Shimon Whiteson, Christopher Amato, Nikos Vlassis and Stefan J. Witwicki and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Journal of Machine Learning Research and Neural Computing and Applications
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