Patents by Inventor Qilian Yu

Qilian Yu 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: 11534690
    Abstract: According to a first aspect of this specification, there is disclosed a computer implemented method comprising: training, based on an initial behavior goal and using reinforcement-learning, a reinforcement-learning model for controlling behavior of a non-playable character in a computer game environment; converting the trained reinforcement-learning model into a behavior tree model for controlling behavior of the non-playable character; editing, based on a user input, the behavior tree model to generate an updated behavior tree model for controlling behavior of the non-playable character; and outputting a final model for controlling non-player character behavior for use in the computer game environment, wherein the model for controlling non-player character behavior is based at least in part on the updated behavior tree model.
    Type: Grant
    Filed: August 21, 2020
    Date of Patent: December 27, 2022
    Assignee: ELECTRONIC ARTS INC.
    Inventors: Meng Wu, Harold Chaput, Navid Aghdaie, Kazi Zaman, Yunqi Zhao, Qilian Yu
  • Patent number: 11478715
    Abstract: Various aspects of the subject technology relate to systems, methods, and machine-readable media for user matchmaking. The method includes training a quality model and an embedding model based on historical data and user control options. The method also includes receiving user control options and matchmaking requests from users. The method also includes embedding, through the embedding model, user data regarding the users into an embedded space based on the received user control options and the matchmaking requests. The method also includes determining, based on the embedded user data, that a distance between two users satisfies a distance threshold. The method also includes matching the two users when the determined distance satisfies the distance threshold.
    Type: Grant
    Filed: June 22, 2020
    Date of Patent: October 25, 2022
    Assignee: Electronic Arts Inc.
    Inventors: Meng Wu, Qilian Yu, Harold Henry Chaput, Navid Aghdaie, Kazi Atif-Uz Zaman, Kenneth Alan Moss
  • Publication number: 20220054943
    Abstract: According to a first aspect of this specification, there is disclosed a computer implemented method comprising: training, based on an initial behavior goal and using reinforcement-learning, a reinforcement-learning model for controlling behavior of a non-playable character in a computer game environment; converting the trained reinforcement-learning model into a behavior tree model for controlling behavior of the non-playable character; editing, based on a user input, the behavior tree model to generate an updated behavior tree model for controlling behavior of the non-playable character; and outputting a final model for controlling non-player character behavior for use in the computer game environment, wherein the model for controlling non-player character behavior is based at least in part on the updated behavior tree model.
    Type: Application
    Filed: August 21, 2020
    Publication date: February 24, 2022
    Inventors: Meng Wu, Harold Chaput, Navid Aghdaie, Kazi Zaman, Yunqi Zhao, Qilian Yu