Thore Graepel
About
Thore Graepel has authored 71 papers that have received a total of 16.0k indexed citations.
This includes 52 papers in Artificial Intelligence, 13 papers in Management Science and Operations Research and 12 papers in Sociology and Political Science. The topics of these papers are Machine Learning and Algorithms (15 papers), Reinforcement Learning in Robotics (14 papers) and Neural Networks and Applications (11 papers). Thore Graepel is often cited by papers focused on Machine Learning and Algorithms (15 papers), Reinforcement Learning in Robotics (14 papers) and Neural Networks and Applications (11 papers) and collaborates with scholars based in United Kingdom, United States and Germany. Thore Graepel's co-authors include Ralf Herbrich, Yoram Bachrach, Karl Tuyls, Marc Lanctot and Joel Z. Leibo and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences
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