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. 07, 2024

Filed:

Jul. 26, 2023
Applicant:

Zhejiang Lab, Zhejiang, CN;

Inventors:

Congqi Shen, Hangzhou, CN;

Huifeng Zhang, Hangzhou, CN;

Shaofeng Yao, Hangzhou, CN;

Qi Xu, Hangzhou, CN;

Ruyun Zhang, Hangzhou, CN;

Assignee:

ZHEJIANG LAB, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 41/16 (2022.01); G06N 20/00 (2019.01); H04L 41/40 (2022.01);
U.S. Cl.
CPC ...
H04L 41/16 (2013.01); G06N 20/00 (2019.01); H04L 41/40 (2022.05);
Abstract

The present disclosure discloses a reinforcement learning agent training method, modal bandwidth resource scheduling method and apparatus. The reinforcement learning agent training method utilizes a reinforcement learning agent to continuously interact with a network environment in a polymorphic smart network to obtain the latest global network characteristics and output updated actions. By adjusting the bandwidth occupied by modals, a reward value is set to determine an optimization target for the agent, the scheduling of modals is realized, and the rational use of polymorphic smart network resources is guaranteed. The trained reinforcement learning agent is applied to the modal bandwidth resource scheduling method, and can adapt to networks with different characteristics, and thus can be used for intelligent management and control of polymorphic smart networks and has good adaptability and scheduling performance.


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