Audrūnas Gruslys
About
Audrūnas Gruslys has authored 12 papers that have received a total of 1.1k indexed citations.
This includes 9 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Reinforcement Learning in Robotics (7 papers), Evolutionary Algorithms and Applications (3 papers) and Sports Analytics and Performance (2 papers). Audrūnas Gruslys is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Evolutionary Algorithms and Applications (3 papers) and Sports Analytics and Performance (2 papers) and collaborates with scholars based in United Kingdom, United States and Germany. Audrūnas Gruslys's co-authors include Marc Lanctot, Joel Z. Leibo, Tom Schaul, Julien Pérolat and Karl Tuyls and has published in prestigious journals such as Nature Communications, Physical Review A and Cerebral Cortex
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