Herke van Hoof

33 papers and 932 indexed citations i.

Herke van Hoof is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Herke van Hoof has authored 33 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Herke van Hoof’s work include Reinforcement Learning in Robotics (15 papers), Robot Manipulation and Learning (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Herke van Hoof is often cited by papers focused on Reinforcement Learning in Robotics (15 papers), Robot Manipulation and Learning (6 papers) and Domain Adaptation and Few-Shot Learning (4 papers). Herke van Hoof collaborates with scholars based in The Netherlands, Germany and Canada. Herke van Hoof's co-authors include Jan Peters, Gerhard Neumann, Wouter Kool, Max Welling and Oliver Kroemer and has published in prestigious journals such as International Journal of Environmental Research and Public Health, Machine Learning and Journal of Machine Learning Research.