Patents by Inventor Sahika Gene

Sahika Gene has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Simulation orchestration for training reinforcement learning models
    Patent number: 11429762
    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.
    Type: Grant
    Filed: November 27, 2018
    Date of Patent: August 30, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Sunil Mallya Kasaragod, Sahika Gene, Leo Parker Dirac, Bharathan Balaji, Eric Li Sun, Marthinus Coenraad De Clercq Wentzel, Brian James Townsend, Pramod Ravikumar Kumar
  • Simulation orchestration for training reinforcement learning models
    Patent number: 11288415
    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.
    Type: Grant
    Filed: November 27, 2018
    Date of Patent: March 29, 2022
    Assignee: Amazon Technologies, Inc.
    Inventors: Sunil Mallya Kasaragod, Sahika Gene, Leo Parker Dirac, Bharathan Balaji, Eric Li Sun, Marthinus Coenraad De Clercq Wentzel, Brian James Townsend, Pramod Ravikumar Kumar