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Researchers develop method for learning to control a robot

Researchers develop method for learning to control a robot
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Nikolai matniHarolde edgertonJean jacques slotineMarco pavoneSpencerm richardsLaboratory for informationDepartment of mechanical engineeringDepartment of electricalUniversity leadership initiativeInternational conference on machine learningEngineering research council of canadaNatural sciencesInstitute for dataUniversity of pennsylvaniaStanford universityNavid azizan

Simpler method for learning to control robot

Simpler method for learning to control robot
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Marco pavoneSpencerm richardsJean jacques slotineHarolde edgertonNikolai matniEngineering research council of canadaNatural sciencesUniversity leadership initiativeInstitute for dataInternational conference on machine learningDepartment of mechanical engineeringDepartment of electricalLaboratory for informationStanford universityUniversity of pennsylvaniaNavid azizan

A simpler method for learning to control a robot

A new machine-learning technique can efficiently learn to control a robot, leading to better performance with fewer data.

Jean jacques slotineSpencerm richardsNikolai matniHarolde edgertonMarco pavoneNatural sciencesLaboratory for informationDepartment of electricalUniversity leadership initiativeEngineering research council of canadaUniversity of pennsylvaniaStanford universityInternational conference on machine learningDepartment of mechanical engineeringInstitute for dataNavid azizan

Researchers develop machine-learning technique that can efficiently learn to control a robot

Researchers develop machine-learning technique that can efficiently learn to control a robot
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United statesNikolai matniSpencerm richardsMarco pavoneHarolde edgertonJean jacques slotineDepartment of mechanical engineeringLaboratory for informationUniversity of pennsylvaniaDepartment of electricalStanford universityInternational conference on machine learningInstitute for dataNavid azizanAssistant professorMechanical engineering