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. 30, 2026

Filed:

Dec. 14, 2023
Applicant:

Zoox, Inc., Foster City, CA (US);

Inventors:

Yan Chang, Sunnyvale, CA (US);

Alec Jacob Farid, Commack, NY (US);

Sutej Pramod Kulgod, Foster City, CA (US);

Assignee:

Zoox, Inc., Foster City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B60W 30/09 (2012.01);
U.S. Cl.
CPC ...
B60W 30/09 (2013.01);
Abstract

A machine-learned architecture for estimating the cost to operate from a prediction node of a tree search for exploring candidate operations for controlling a vehicle may be trained using a loss function that mitigates the deleterious effects of training without infinitely searching the tree or reaching convergence. A first loss of the loss function term may be based on a difference between the architecture's estimated cost to go from a starting position and the cost to go from the starting position determined by the search so far. A second loss term may be based on the difference between the model's estimate of the cost to go from a predicted state and may be adjusted based on (1) weighting based on a convergence-based weight and/or (2) adjusting the second loss term using an approximation of a difference between a cost of the current cheapest action and the globally optimal action.


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