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Patent Agency Ranking
公开(公告)号：US11288415B2
公开(公告)日：2022-03-29
申请号：US16201872
申请日：2018-11-27
Applicant: Amazon Technologies, Inc.
Inventor： Sunil Mallya Kasaragod , Sahika Gene , Leo Parker Dirac , Bharathan Balaji , Eric Li Sun , Marthinus Coenraad De Clercq Wentzel , Brian James Townsend , Pramod Ravikumar Kumar
Abstract: A simulation workflow manager obtains a set of parameters for simulation of a system and training of a reinforcement learning model for optimizing an application of the system. In response to obtaining the set of parameters, the simulation workflow manager configures a first compute node that includes a training application for training the reinforcement learning model. The simulation workflow manager also configures a second compute note with a simulation application to perform the simulation of the system in a simulation environment. Data is generated through execution of the simulation in the second compute node that is provided to the first compute node to cause the training application to use the data to train the reinforcement learning model.
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公开(公告)号：US20200167686A1
公开(公告)日：2020-05-28
申请号：US16201830
申请日：2018-11-27
Applicant: Amazon Technologies, Inc.
Inventor： Sunil Mallya Kasaragod , Sahika Genc , Leo Parker Dirac , Bharathan Balaji , Eric Li Sun , Marthinus Coenraad De Clercq Wentzel
Abstract: A simulation management service receives a request to perform reinforcement learning for a robotic device. The request can include computer-executable code defining a reinforcement function for training a reinforcement learning model for the robotic device. In response to the request, the simulation management service generates a simulation environment and injects the computer-executable code into a simulation application for the robotic device. Using the simulation application and the computer-executable code, the simulation management service performs the reinforcement learning within the simulation environment.
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公开(公告)号：US20200167437A1
公开(公告)日：2020-05-28
申请号：US16201872
申请日：2018-11-27
Applicant: Amazon Technologies, Inc.
Inventor： Sunil Mallya Kasaragod , Sahika Genc , Leo Parker Dirac , Bharathan Balaji , Eric Li Sun , Marthinus Coenraad De Clercq Wentzel , Brian James Townsend , Pramod Ravikumar Kumar
Abstract: A simulation workflow manager obtains a set of parameters for simulation of a system and training of a reinforcement learning model for optimizing an application of the system. In response to obtaining the set of parameters, the simulation workflow manager configures a first compute node that includes a training application for training the reinforcement learning model. The simulation workflow manager also configures a second compute note with a simulation application to perform the simulation of the system in a simulation environment. Data is generated through execution of the simulation in the second compute node that is provided to the first compute node to cause the training application to use the data to train the reinforcement learning model.
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公开(公告)号：US11836577B2
公开(公告)日：2023-12-05
申请号：US16201830
申请日：2018-11-27
Applicant: Amazon Technologies, Inc.
Inventor： Sunil Mallya Kasaragod , Sahika Genc , Leo Parker Dirac , Bharathan Balaji , Eric Li Sun , Marthinus Coenraad De Clercq Wentzel
CPC classification number: G06N20/00 , B25J9/163 , B25J9/1605 , B25J9/1671 , G06F7/023 , G06F30/20 , G06F30/27 , G06N5/022
Abstract: A simulation management service receives a request to perform reinforcement learning for a robotic device. The request can include computer-executable code defining a reinforcement function for training a reinforcement learning model for the robotic device. In response to the request, the simulation management service generates a simulation environment and injects the computer-executable code into a simulation application for the robotic device. Using the simulation application and the computer-executable code, the simulation management service performs the reinforcement learning within the simulation environment.
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公开(公告)号：US11429762B2
公开(公告)日：2022-08-30
申请号：US16201872
申请日：2018-11-27
Applicant: Amazon Technologies, Inc.
Inventor： Sunil Mallya Kasaragod , Sahika Gene , Leo Parker Dirac , Bharathan Balaji , Eric Li Sun , Marthinus Coenraad De Clercq Wentzel , Brian James Townsend , Pramod Ravikumar Kumar
Abstract: A simulation workflow manager obtains a set of parameters for simulation of a system and training of a reinforcement learning model for optimizing an application of the system. In response to obtaining the set of parameters, the simulation workflow manager configures a first compute node that includes a training application for training the reinforcement learning model. The simulation workflow manager also configures a second compute note with a simulation application to perform the simulation of the system in a simulation environment. Data is generated through execution of the simulation in the second compute node that is provided to the first compute node to cause the training application to use the data to train the reinforcement learning model.
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