John Quan

10 papers and 3.0k indexed citations i.

John Quan has authored 10 papers that have received a total of 3.0k indexed citations. This includes 9 papers in Artificial Intelligence, 2 papers in Economics and Econometrics and 1 paper in Electrical and Electronic Engineering. The topics of these papers are Reinforcement Learning in Robotics (7 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Sports Analytics and Performance (2 papers). John Quan is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Sports Analytics and Performance (2 papers) and collaborates with scholars based in United States, United Kingdom and Israel. John Quan's co-authors include David Silver, Tom Schaul, André Barreto, Rémi Munos and Dan Horgan and has published in prestigious journals such as Proceedings of the National Academy of Sciences and IT Professional