Patents by Inventor Shawn Leaf

Shawn Leaf 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: 12128313
    Abstract: This specification provides a computer-implemented method, the method comprising obtaining a machine-learning model. The machine-learning model is being trained with expert data comprising a plurality of training examples. Each training example comprises: (i) game state data representing a state of a video game environment, and (ii) scored action data representing an action and a score for that action if performed by a video game entity of the video game environment subsequent to the state of the video game environment. An action is performed by the video game entity based on a prediction for the action generated by the machine-learning model. The method further comprises determining whether the action performed by the video game entity was optimal. In response to determining that the action performed by the video game entity was suboptimal, a healed training example is generated.
    Type: Grant
    Filed: August 17, 2023
    Date of Patent: October 29, 2024
    Assignee: Electronic Arts Inc.
    Inventors: William Gordon, Kasey Keltner, Shawn Leaf
  • Publication number: 20230390646
    Abstract: This specification provides a computer-implemented method, the method comprising obtaining a machine-learning model. The machine-learning model is being trained with expert data comprising a plurality of training examples. Each training example comprises: (i) game state data representing a state of a video game environment, and (ii) scored action data representing an action and a score for that action if performed by a video game entity of the video game environment subsequent to the state of the video game environment. An action is performed by the video game entity based on a prediction for the action generated by the machine-learning model. The method further comprises determining whether the action performed by the video game entity was optimal. In response to determining that the action performed by the video game entity was suboptimal, a healed training example is generated.
    Type: Application
    Filed: August 17, 2023
    Publication date: December 7, 2023
    Inventors: William Gordon, Kasey Keltner, Shawn Leaf
  • Patent number: 11786822
    Abstract: This specification provides a computer-implemented method, the method comprising obtaining a machine-learning model. The machine-learning model is being trained with expert data comprising a plurality of training examples. Each training example comprises: (i) game state data representing a state of a video game environment, and (ii) scored action data representing an action and a score for that action if performed by a video game entity of the video game environment subsequent to the state of the video game environment. An action is performed by the video game entity based on a prediction for the action generated by the machine-learning model. The method further comprises determining whether the action performed by the video game entity was optimal. In response to determining that the action performed by the video game entity was suboptimal, a healed training example is generated.
    Type: Grant
    Filed: March 31, 2022
    Date of Patent: October 17, 2023
    Assignee: ELECTRONIC ARTS INC.
    Inventors: William Gordon, Kasey Keltner, Shawn Leaf
  • Publication number: 20230311001
    Abstract: This specification provides a computer-implemented method, the method comprising obtaining a machine-learning model. The machine-learning model is being trained with expert data comprising a plurality of training examples. Each training example comprises: (i) game state data representing a state of a video game environment, and (ii) scored action data representing an action and a score for that action if performed by a video game entity of the video game environment subsequent to the state of the video game environment. An action is performed by the video game entity based on a prediction for the action generated by the machine-learning model. The method further comprises determining whether the action performed by the video game entity was optimal. In response to determining that the action performed by the video game entity was suboptimal, a healed training example is generated.
    Type: Application
    Filed: March 31, 2022
    Publication date: October 5, 2023
    Inventors: William Gordon, Kasey Keltner, Shawn Leaf
  • Patent number: 8672753
    Abstract: In a video game, various effects are used to convey the experience of a game world of different kinds of game characters and game objects. For example, if a game character is a dog, a visual effect may be used to convey a dog's red-green color blindness. If a game character is a mouse, another visual effect may be used convey a mouse's blurry vision.
    Type: Grant
    Filed: August 17, 2009
    Date of Patent: March 18, 2014
    Assignee: Nintendo Co., Ltd.
    Inventors: Erick S. Dyke, Shawn Leaf, Timothy D. Schwalk
  • Patent number: 7905779
    Abstract: In a video game, various effects are used to convey the experience of a game world of different kinds of game characters and game objects. For example, if a game character is a dog, a visual effect may be used to convey a dog's red-green color blindness. If a game character is a mouse, another visual effect may be used convey a mouse's blurry vision.
    Type: Grant
    Filed: May 10, 2005
    Date of Patent: March 15, 2011
    Assignee: Nintendo Co., Ltd.
    Inventors: Erick S. Dyke, Shawn Leaf, Timothy D Schwalk
  • Publication number: 20090312099
    Abstract: In a video game, various effects are used to convey the experience of a game world of different kinds of game characters and game objects. For example, if a game character is a dog, a visual effect may be used to convey a dog's red-green color blindness. If a game character is a mouse, another visual effect may be used convey a mouse's blurry vision.
    Type: Application
    Filed: August 17, 2009
    Publication date: December 17, 2009
    Applicant: NINTENDO CO., LTD.
    Inventors: Erick S. DYKE, Shawn LEAF, Timothy D. SCHWALK
  • Publication number: 20060094500
    Abstract: In a video game, various effects are used to convey the experience of a game world of different kinds of game characters and game objects. For example, if a game character is a dog, a visual effect may be used to convey a dog's red-green color blindness. If a game character is a mouse, another visual effect may be used convey a mouse's blurry vision.
    Type: Application
    Filed: May 10, 2005
    Publication date: May 4, 2006
    Applicant: Nintendo Co., Ltd.
    Inventors: Erick Dyke, Shawn Leaf, Timothy Schwalk