Thomas Rückstieß
About
Thomas Rückstieß has authored 4 papers that have received a total of 172 indexed citations.
This includes 4 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Electrical and Electronic Engineering. The topics of these papers are Reinforcement Learning in Robotics (2 papers), Computational Physics and Python Applications (1 paper) and Algorithms and Data Compression (1 paper). Thomas Rückstieß is often cited by papers focused on Reinforcement Learning in Robotics (2 papers), Computational Physics and Python Applications (1 paper) and Algorithms and Data Compression (1 paper) and collaborates with scholars based in Germany and Switzerland. Thomas Rückstieß's co-authors include Christian Osendorfer, Jürgen Schmidhuber, Frank Sehnke, Patrick van der Smagt and Yi Sun and has published in prestigious journals such as Neural Networks, International Journal of Machine Learning and Cybernetics and Paladyn Journal of Behavioral Robotics
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