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:
Sep. 21, 2021

Filed:

Nov. 09, 2018
Applicant:

Ciena Corporation, Hanover, MD (US);

Inventors:

Emil Janulewicz, Nepean, CA;

David Côté, Gatineau, CA;

Gauravdeep Singh Shami, Ottawa, CA;

Olivier Simard, Montréal, CA;

Thomas Triplet, Manotick, CA;

Assignee:

Ciena Corporation, Hanover, MD (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); H04L 12/729 (2013.01); H04L 12/721 (2013.01); H04L 12/727 (2013.01); H04L 12/751 (2013.01); H04W 24/08 (2009.01); H04W 84/04 (2009.01); H04W 24/02 (2009.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); H04L 45/08 (2013.01); H04L 45/121 (2013.01); H04L 45/124 (2013.01); H04L 45/125 (2013.01); H04L 45/70 (2013.01); H04W 24/02 (2013.01); H04W 24/08 (2013.01); H04W 84/042 (2013.01);
Abstract

Systems and methods include obtaining performance monitoring data from a network which operates and generates the performance monitoring data which reflects a current state of the network; responsive to a predetermined reward which quantifies minimizing or maximizing an aspect in the network for Reinforcement Learning, causing one or more actions to be performed in the network, wherein the one or more actions are based on the predetermined reward; obtaining updated performance monitoring data from the network subsequent to the one or more actions to determine an updated state of the network; and continuing the causing the one or more actions to be performed in the network based on the current state and the updated state. The causing the one or more actions to be performed in the network is performed to maximize or minimize a total discounted accumulated reward.


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