Daniel J. Mankowitz
About
Daniel J. Mankowitz has authored 18 papers that have received a total of 389 indexed citations.
This includes 15 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 2 papers in Computer Networks and Communications. The topics of these papers are Reinforcement Learning in Robotics (15 papers), Machine Learning and Algorithms (3 papers) and Advanced Bandit Algorithms Research (3 papers). Daniel J. Mankowitz is often cited by papers focused on Reinforcement Learning in Robotics (15 papers), Machine Learning and Algorithms (3 papers) and Advanced Bandit Algorithms Research (3 papers) and collaborates with scholars based in Israel, United States and United Kingdom. Daniel J. Mankowitz's co-authors include Shie Mannor, Timothy Mann, Tom Zahavy, Jerry Li and André Barreto and has published in prestigious journals such as Machine Learning and Fusion Engineering and Design.
In The Last Decade
Fields of papers published by Daniel J. Mankowitz
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 Daniel J. Mankowitz
Since SpecializationCitations
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