Patents by Inventor Pavel Selin

Pavel Selin 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: 11786823
    Abstract: A method for optimizing a computer-implemented game for a target metric is disclosed. Based on a detecting that an optimization point has been reached during a runtime of the computer game, user data, game state data, and personalized gaming experience (PGE) question data is communicated to a PGE server. The PGE question data is linked to the optimization point. An answer corresponding to the PGE question data is received from the PGE server. The answer is selected from a plurality of answers linked to the optimization point based on an application of a machine-learned model to the user data, game state data, and PGE question data. The received answer is implemented within the computer-implemented game.
    Type: Grant
    Filed: May 17, 2022
    Date of Patent: October 17, 2023
    Assignee: Unity IPR ApS
    Inventors: Kaj Mikael Björklund, Mikko Juhani Lehtinen, Kaisa Hillervo Salakka, Pavel Selin, Daniel Zautner
  • Publication number: 20220347580
    Abstract: A method for optimizing a computer-implemented game for a target metric is disclosed. Based on a detecting that an optimization point has been reached during a runtime of the computer game, user data, game state data, and personalized gaming experience (PGE) question data is communicated to a PGE server. The PGE question data is linked to the optimization point. An answer corresponding to the PGE question data is received from the PGE server. The answer is selected from a plurality of answers linked to the optimization point based on an application of a machine-learned model to the user data, game state data, and PGE question data. The received answer is implemented within the computer-implemented game.
    Type: Application
    Filed: May 17, 2022
    Publication date: November 3, 2022
    Inventors: Kaj Mikael Björklund, Mikko Juhani Lehtinen, Kaisa Hillervo Salakka, Pavels Selin, Daniel Zautner
  • Patent number: 11351460
    Abstract: A method for optimizing a computer-implemented game for a target metric is disclosed. Based on a detecting that an optimization point has been reached during a runtime of the computer game, user data, game state data, and personalized gaming experience (PGE) question data is communicated to a PGE server. The PGE question data is linked to the optimization point. An answer corresponding to the PGE question data is received from the PGE server. The answer is selected from a plurality of answers linked to the optimization point based on an application of a machine-learned model to the user data, game state data, and PGE question data. The received answer is implemented within the computer-implemented game.
    Type: Grant
    Filed: September 18, 2020
    Date of Patent: June 7, 2022
    Assignee: Unity IPR ApS
    Inventors: Kaj Mikael Björklund, Mikko Juhani Lehtinen, Kaisa Hillervo Salakka, Pavels Selin, Daniel Zautner
  • Publication number: 20210086082
    Abstract: A method for optimizing a computer-implemented game for a target metric is disclosed. Based on a detecting that an optimization point has been reached during a runtime of the computer game, user data, game state data, and personalized gaming experience (PGE) question data is communicated to a PGE server. The PGE question data is linked to the optimization point. An answer corresponding to the PGE question data is received from the PGE server. The answer is selected from a plurality of answers linked to the optimization point based on an application of a machine-learned model to the user data, game state data, and PGE question data. The received answer is implemented within the computer-implemented game.
    Type: Application
    Filed: September 18, 2020
    Publication date: March 25, 2021
    Inventors: Kaj Mikael Björklund, Mikko Juhani Lehtinen, Kaisa Hillervo Salakka, Pavels Selin, Daniel Zautner