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:
Apr. 04, 2023

Filed:

Feb. 21, 2020
Applicant:

Fujitsu Limited, Kawasaki, JP;

Inventors:

Hidenao Iwane, Kawasaki, JP;

Junichi Shigezumi, Kawasaki, JP;

Yoshihiro Okawa, Yokohama, JP;

Tomotake Sasaki, Kawasaki, JP;

Hitoshi Yanami, Kawasaki, JP;

Assignee:

FUJITSU LIMITED, Kawasaki, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05B 13/02 (2006.01); G06N 20/00 (2019.01); B25J 9/16 (2006.01); H02J 3/38 (2006.01);
U.S. Cl.
CPC ...
G05B 13/0265 (2013.01); B25J 9/163 (2013.01); G06N 20/00 (2019.01); H02J 3/381 (2013.01); H02J 2300/28 (2020.01);
Abstract

A computer-implemented reinforcement learning method includes determining, based on a target probability of satisfaction of a constraint condition related to a state of a control object and a specific time within which a controller causes the state of the control object not satisfying the constraint condition to be the state of the control object satisfying the constraint condition, a parameter of a reinforcement learner that causes, in a specific probability, the state of the control object to satisfy the constraint condition at a first timing following a second timing at which the state of control object satisfies the constraint condition; and determining a control input to the control object by either the reinforcement learner or the controller, based on whether the state of the control object satisfies the constraint condition at a specific timing.


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