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US Patent 11836577 Reinforcement learning model training through simulation
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Patent
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Date Filed
November 27, 2018
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Date of Patent
December 5, 2023
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Patent Application Number
16201830
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Patent Citations
US Patent 9378044 Method and system that anticipates deleterious virtual-machine state changes within a virtualization layer
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US Patent 9671777 Training robots to execute actions in physics-based virtual environment
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US Patent 10058995 Operating multiple testing robots based on robot instructions and/or environmental parameters received in a request
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US Patent 10090791 Machine learning apparatus and method for learning correction value in motor current control, correction value computation apparatus including machine learning apparatus and motor driving apparatus
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US Patent 10587642 Automated security incident ranking
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US Patent 10445653 Evaluating reinforcement learning policies
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US Patent 10786900 Robot control policy determination through constrained optimization for smooth continuous control
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US Patent 8418000 System and methods for automated testing of functionally complex systems
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US Patent 9110496 Dynamic provisioning of a virtual test environment
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Patent Inventor Names
Leo Parker Dirac
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Sunil Mallya Kasaragod
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Marthinus Coenraad De Clercq Wentzel
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Sahika Genc
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Bharathan Balaji
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Eric Li Sun
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Patent Jurisdiction
United States Patent and Trademark Office
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Patent Number
11836577
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Patent Primary Examiner
Bryce M Aisaka
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