John Quan
About
John Quan has authored 10 papers that have received a total of 3.2k 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 André Barreto, Dan Horgan, David Silver, Rémi Munos and Tom Schaul and has published in prestigious journals such as Proceedings of the National Academy of Sciences and IT Professional.
In The Last Decade
Fields of papers published by John Quan
Since SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
Countries citing papers authored by John Quan
Since SpecializationCitations
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