Matthew E. Taylor
About
Matthew E. Taylor has authored 120 papers that have received a total of 2.7k indexed citations.
This includes 96 papers in Artificial Intelligence, 16 papers in Management Science and Operations Research and 15 papers in Control and Systems Engineering. The topics of these papers are Reinforcement Learning in Robotics (81 papers), Evolutionary Algorithms and Applications (27 papers) and Adaptation to Concept Drift in Data Streams (15 papers). Matthew E. Taylor is often cited by papers focused on Reinforcement Learning in Robotics (81 papers), Evolutionary Algorithms and Applications (27 papers) and Adaptation to Concept Drift in Data Streams (15 papers) and collaborates with scholars based in United States, Canada and Belgium. Matthew E. Taylor's co-authors include Peter Stone, Tim Brys, Pablo Hernández-Leal, Bilal Kartal and Bei Peng and has published in prestigious journals such as Energy and Buildings, Sensors and Computers & Education
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