Patents by Inventor Dayao Liang

Dayao Liang 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).

  • Patent number: 12189349
    Abstract: A computer implemented method for self-learning of a control system. The method includes creating an initial knowledge base. The method learns first principles using the knowledge base. The method creates initial control commands derived from the knowledge base. The method generates constraints for the control commands. The method performs constrained reinforcement learning by executing the control commands with the constraints and observing feedback to improve the control commands. The method enriches the knowledge base based on the feedback.
    Type: Grant
    Filed: May 13, 2021
    Date of Patent: January 7, 2025
    Assignee: Huawei Technologies Co., Ltd.
    Inventors: Lifeng Liu, Yingxuan Zhu, Jun Zhang, Xiaotian Yin, Jian Li, Yongxiang Tao, Dayao Liang
  • Publication number: 20220155732
    Abstract: A computer implemented method for self-learning of a control system. The method includes creating an initial knowledge base. The method learns first principles using the knowledge base. The method creates initial control commands derived from the knowledge base. The method generates constraints for the control commands. The method performs constrained reinforcement learning by executing the control commands with the constraints and observing feedback to improve the control commands. The method enriches the knowledge base based on the feedback.
    Type: Application
    Filed: May 13, 2021
    Publication date: May 19, 2022
    Inventors: Lifeng Liu, Yingxuan Zhu, Jun Zhang, Xiaotian Yin, Jian Li, Yongxiang Tao, Dayao Liang
  • Publication number: 20210341886
    Abstract: A computer implemented method for self-learning of a control system. The method includes creating an initial knowledge base. The method learns first principles using the knowledge base. The method creates initial control commands derived from the knowledge base. The method generates constraints for the control commands. The method performs constrained reinforcement learning by executing the control commands with the constraints and observing feedback to improve the control commands. The method enriches the knowledge base based on the feedback.
    Type: Application
    Filed: May 13, 2021
    Publication date: November 4, 2021
    Inventors: Lifeng Liu, Yingxuan Zhu, Jun Zhang, Xiaofian Yin, Jian Li, Yongxiang Tao, Dayao Liang