Thomas M. Moerland
About
Thomas M. Moerland has authored 10 papers that have received a total of 233 indexed citations.
This includes 7 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Computer Vision and Pattern Recognition. The topics of these papers are Reinforcement Learning in Robotics (6 papers), Evolutionary Algorithms and Applications (2 papers) and Adaptation to Concept Drift in Data Streams (2 papers). Thomas M. Moerland is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Evolutionary Algorithms and Applications (2 papers) and Adaptation to Concept Drift in Data Streams (2 papers) and collaborates with scholars based in The Netherlands. Thomas M. Moerland's co-authors include Catholijn M. Jonker, Joost Broekens, Aske Plaat, Kim E. Kortekaas and Jan W. Schoones and has published in prestigious journals such as Machine Learning, IEEE Robotics and Automation Letters and Frontiers in Artificial Intelligence.
In The Last Decade
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