Rein Houthooft
About
Rein Houthooft has authored 12 papers that have received a total of 209 indexed citations.
This includes 6 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 2 papers in Electrical and Electronic Engineering. The topics of these papers are Reinforcement Learning in Robotics (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Machine Learning and Data Classification (2 papers). Rein Houthooft is often cited by papers focused on Reinforcement Learning in Robotics (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Machine Learning and Data Classification (2 papers) and collaborates with scholars based in Belgium and United States. Rein Houthooft's co-authors include Filip De Turck, Pieter Abbeel, Wouter Tavernier, Didier Colle and Mario Pickavet and has published in prestigious journals such as Pattern Recognition, Networks and Artificial Intelligence in Medicine
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