Daan Wierstra
About
Daan Wierstra has authored 35 papers that have received a total of 21.3k indexed citations.
This includes 28 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Electrical and Electronic Engineering. The topics of these papers are Reinforcement Learning in Robotics (10 papers), Evolutionary Algorithms and Applications (9 papers) and Neural Networks and Applications (6 papers). Daan Wierstra is often cited by papers focused on Reinforcement Learning in Robotics (10 papers), Evolutionary Algorithms and Applications (9 papers) and Neural Networks and Applications (6 papers) and collaborates with scholars based in Switzerland, United States and United Kingdom. Daan Wierstra's co-authors include Jürgen Schmidhuber, Danilo Jimenez Rezende, Faustino Gomez, Tom Schaul and Yi Sun and has published in prestigious journals such as Nature, Neural Computation and Journal of Machine Learning Research.
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