Model training method, content generation method, and related apparatuses

    公开(公告)号:US12046022B2

    公开(公告)日:2024-07-23

    申请号:US17585677

    申请日:2022-01-27

    发明人: Chao Huang

    摘要: A processing circuitry obtains a training set based on an interaction process of a plurality of cards. The training set includes a plurality of video frames, and a video frame includes a trigger region for triggering an action during the interaction process. The processing circuitry determines feature regions in the trigger region. A feature region includes a card and is set with an action label for indicating a first training content in the feature region. The processing circuitry also determines a feature vector based on the plurality of video frames. The feature vector indicates a triggering of the feature region. The processing circuit inputs the feature vector into a first model for training to obtain a second model. The first model associates the feature vector with the action label, and the second model is used for indicating a correspondence between a content of the card and the action label.

    EFFICIENT GAMEPLAY TRAINING FOR ARTIFICIAL INTELLIGENCE

    公开(公告)号:US20240198232A1

    公开(公告)日:2024-06-20

    申请号:US18554931

    申请日:2022-04-11

    申请人: GOOGLE LLC

    摘要: Systems and methods are described for training a locally executed actor component to execute real-time gameplay actions in a gaming application based on one or more gameplay data models generated by a remote learning service. A gameplay data model for the gaming application is provided from one or more server computing systems executing the remote learning service to the client computing device. Observational data is generated by the local actor component based on in-game results of artificial gameplay actions performed by the local actor component, based at least in part on inferences generated by the actor component using the provided gameplay data model. Based on the received observational data, the remote learning service modifies the gameplay data model and provides the modified gameplay data model to the local actor component to improve future artificial gameplay actions.

    SYSTEM AND METHOD OF OPERATIONAL CONTROL
    20.
    发明公开

    公开(公告)号:US20240149167A1

    公开(公告)日:2024-05-09

    申请号:US18497328

    申请日:2023-10-30

    IPC分类号: A63F13/67

    CPC分类号: A63F13/67

    摘要: A method of user availability estimation includes recording a timing of a plurality of first user sessions during in which the first user performs one or more tasks of a predetermined type, estimating a timing of a subsequent session of the first user based upon the recorded timings of the plurality of first user sessions, for the subsequent session of the first user, ordering for completion by the first user one or more tasks of the predetermined type, having respective durations, that fit within the estimated timing of the subsequent session.