Invention Grant
- Patent Title: Reinforcement learning for delivery of content
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Application No.: US18062299Application Date: 2022-12-06
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Publication No.: US12096082B2Publication Date: 2024-09-17
- Inventor: Pengfei Gao , Dingming Wu , Chunyang Wei , Xiaohui Xie , Shulei Ma
- Applicant: HULU, LLC
- Applicant Address: US CA Santa Monica
- Assignee: HULU, LLC
- Current Assignee: HULU, LLC
- Current Assignee Address: US CA Santa Monica
- Agency: Kwan & Olynick LLP
- Main IPC: H04N21/472
- IPC: H04N21/472 ; G06N5/04 ; G06N20/00 ; G06Q30/0207 ; G06Q30/0242 ; G06Q30/0251 ; H04N21/442 ; H04N21/45 ; H04N21/466

Abstract:
In some embodiments, a method determines a reward metric based on feedback for an instance of content. A delivery status for a delivery constraint of the instance of content is applied to the reward metric to generate a constrained reward metric. The method uses the constrained reward metric to train a model. The model is used to select from a plurality of instances of content. One of the plurality of instances of content is selected for delivery using the model.
Public/Granted literature
- US20230096951A1 REINFORCEMENT LEARNING FOR DELIVERY OF CONTENT Public/Granted day:2023-03-30
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