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:
Jan. 23, 2024

Filed:

Dec. 07, 2022
Applicant:

The United States of America, As Represented BY the Secretary of the Navy, Arlington, VA (US);

Inventors:

Doron Drusinsky, Cupertino, CA (US);

James Bret Michael, Pebble Beach, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 45/24 (2022.01); H04L 45/12 (2022.01);
U.S. Cl.
CPC ...
H04L 45/24 (2013.01); H04L 45/123 (2013.01);
Abstract

Methods, and systems, for Multiagent Pathfinding for Non Dynamic Programming Problems, including a CE method which provides for sampling from a complex probability distribution that is not necessarily known in a closed form. The applications of this method include rare-event simulation, variance reduction for estimation problems, and stochastic optimization. The method iteratively searches for a probability distribution that is 'close' to the intended distribution, where the closeness of distributions is measured using the Kullback-Liebler (KL) divergence between the distributions. At each step, the method generates samples according to a current candidate distribution from the family. Next, it uses those current candidate distribution samples to move the distribution toward a new candidate distribution that is closer in the sense of KL divergence to the target distribution.


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