JOB SCHEDULING USING REINFORCEMENT LEARNING
    1.
    发明公开

    公开(公告)号:US20230154100A1

    公开(公告)日:2023-05-18

    申请号:US17529916

    申请日:2021-11-18

    CPC classification number: G06T15/005 G06F9/4881 G06N20/00

    Abstract: Systems, methods, and techniques utilize reinforcement learning to efficiently schedule a sequence of jobs for execution by one or more processing threads. A first sequence of execution jobs associated with rendering a target frame of a sequence of frames is received. One or more reward metrics related to rendering the target frame are selected. A modified sequence of execution jobs for rendering the target frame is generated, such as by reordering the first sequence of execution jobs. The modified sequence is evaluated with respect to the selected reward metric(s); and rendering the target frame is initiated based at least in part on the evaluating of the modified sequence with respect to the one or more selected reward metric(s).

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