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. 21, 2024

Filed:

Jul. 15, 2020
Applicant:

Electronics and Telecommunications Research Institute, Daejeon, KR;

Inventors:

Hyunseok Kim, Daejeon, KR;

Myung Eun Kim, Daejeon, KR;

Seonghyun Kim, Daejeon, KR;

Young Sung Son, Daejeon, KR;

Jongkwon Son, Daejeon, KR;

Soonyong Song, Daejeon, KR;

Donghun Lee, Sejong-si, KR;

Ingook Jang, Gwangmyeong-si, KR;

Jin Chul Choi, Daejeon, KR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/092 (2023.01); G06N 20/00 (2019.01); G06N 7/00 (2023.01);
U.S. Cl.
CPC ...
G06N 3/092 (2023.01); G06N 20/00 (2019.01); G05B 2219/32334 (2013.01); G05B 2219/33056 (2013.01); G05B 2219/34082 (2013.01); G05B 2219/40499 (2013.01); G06N 7/00 (2013.01);
Abstract

A method and an apparatus for exclusive reinforcement learning are provided, comprising: collecting information of states of an environment through the communication interface and performing a statistical analysis on the states using the collected information; determining a first state value of a first state among the states in a training phase and a second state value of a second state among the states in an inference phase based on analysis results of the statistical analysis; performing reinforcement learning by using one reinforcement learning unit of a plurality of reinforcement learning unit which performs reinforcement learnings from different perspectives according to the first state value; and selecting one of actions determined by the plurality of reinforcement learning unit based on the second state value and applying selected action to the environment.


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