The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 25, 2024

Filed:

Aug. 02, 2021
Applicant:

Uber Technologies, Inc., San Francisco, CA (US);

Inventors:

Shicong Meng, Fremont, CA (US);

Noah Harold Shaw, San Francisco, CA (US);

Joshua K. Hellerstein, Palm Beach Gardens, FL (US);

Juan Pemberthy, San Francisco, CA (US);

Zhi Li, San Francisco, CA (US);

Jacob Edison, San Francisco, CA (US);

Assignee:

Uber Technologies, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 15/173 (2006.01); H04L 41/0823 (2022.01); H04L 41/14 (2022.01); H04L 41/147 (2022.01); H04L 41/16 (2022.01); H04L 41/22 (2022.01); H04L 41/5025 (2022.01); H04L 41/5054 (2022.01); H04L 67/51 (2022.01); H04L 67/61 (2022.01); H04L 67/62 (2022.01); H04L 67/75 (2022.01);
U.S. Cl.
CPC ...
H04L 67/61 (2022.05); H04L 41/0823 (2013.01); H04L 41/145 (2013.01); H04L 41/147 (2013.01); H04L 41/16 (2013.01); H04L 41/22 (2013.01); H04L 41/5025 (2013.01); H04L 41/5054 (2013.01); H04L 67/51 (2022.05); H04L 67/62 (2022.05); H04L 67/75 (2022.05);
Abstract

Service providers can be identified to fulfill service requests of a network-based service. A network system is configured to generate, based on historical data associated with the network-based service, a machine-learned service provider optimization (MLSPO) model for generating service provider optimizations. The optimizations can include action recommendations that optimize one or more service metrics. The MLSPO model can be a reinforcement learning model generated by performing a plurality of simulations utilizing one or more virtual agents. A provider device of a service provider can transmit a set of data to the network system that indicates a current location of the service provider. Based on the current location and the MLSPO model, the network system can generate service provider optimizations. Optimization data can be transmitted to the provider device so that the provider device can display information corresponding to the service provider optimizations.


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