Patents by Inventor Prabal Kumar Ghosh

Prabal Kumar Ghosh 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).

  • Environment aware application-based resource management using reinforcement learning
    Patent number: 11556393
    Abstract: A resource management system of an application takes various actions to improve or maintain the health of the application (e.g., keep the application from becoming sluggish). The resource management system maintains a reinforcement learning model indicating which actions the resource management system is to take for various different states of the application. The resource management system performs multiple iterations of a process of identifying a current state of the application, determining an action to take to manage resources for the application, and taking the determined action. In each iteration, the resource management system determines the result of the action taken in the previous iteration and updates the reinforcement learning model so that the reinforcement learning model learns which actions improve the health of the application and which actions do not improve the health of the application.
    Type: Grant
    Filed: January 7, 2020
    Date of Patent: January 17, 2023
    Assignee: Adobe Inc.
    Inventors: Bhakti Ramnani, Sachin Tripathi, Reetesh Mukul, Prabal Kumar Ghosh
  • Environment Aware Application-based Resource Management Using Reinforcement Learning
    Publication number: 20210209419
    Abstract: A resource management system of an application takes various actions to improve or maintain the health of the application (e.g., keep the application from becoming sluggish). The resource management system maintains a reinforcement learning model indicating which actions the resource management system is to take for various different states of the application. The resource management system performs multiple iterations of a process of identifying a current state of the application, determining an action to take to manage resources for the application, and taking the determined action. In each iteration, the resource management system determines the result of the action taken in the previous iteration and updates the reinforcement learning model so that the reinforcement learning model learns which actions improve the health of the application and which actions do not improve the health of the application.
    Type: Application
    Filed: January 7, 2020
    Publication date: July 8, 2021
    Applicant: Adobe Inc.
    Inventors: Bhakti Ramnani, Sachin Tripathi, Reetesh Mukul, Prabal Kumar Ghosh