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:
May. 19, 2026

Filed:

Sep. 11, 2023
Applicant:

Aurora Operations, Inc., Mountain View, CA (US);

Inventors:

James Andrew Bagnell, Pittsburgh, PA (US);

Shervin Javdani, San Francisco, CA (US);

Venkatraman Narayanan, Mountain View, CA (US);

Assignee:

AURORA OPERATIONS, INC., Pittsburgh, PA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 60/00 (2020.01); B60W 40/04 (2006.01);
U.S. Cl.
CPC ...
B60W 60/0011 (2020.02); B60W 40/04 (2013.01);
Abstract

An example implementation includes generating a plurality of possible decisions with respect to one or more objects in an environment of the autonomous vehicle; generating an offline strategy search space, wherein: the offline strategy search space comprises a plurality of candidate strategies that respectively correspond to a plurality of cost functions, and a respective candidate strategy comprises one or more of the plurality of possible decisions; scoring the plurality of candidate strategies relative to a strategy that a human exemplar executed in the environment; and updating one or more parameters of the machine-learned model based on the scoring of the plurality of candidate strategies; and deploying the trained machine-learned model to the autonomous vehicle control system to control the autonomous vehicle, wherein: an online strategy search space generated using the deployed machine-learned model is configured to comprise a smaller number of candidate strategies than the offline strategy search space.


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