Title:
REINFORCEMENT LEARNING APPARATUS AND METHOD FOR OPTIMIZING LOCATION OF OBJECT ON BASIS OF DESIGN DATA
Document Type and Number:
WIPO Patent Application WO/2023/043018
Kind Code:
A1
Abstract:
Disclosed are a reinforcement learning apparatus and method for optimizing a location of an object on the basis of design data. The present invention may: configure a learning environment on the basis of design data by a user; and generate, via reinforcement learning using simulation during a design or manufacturing step, an optimal location of a target object being installed around a specific object.
Inventors:
MIN YE-RIN (KR)
YU YEON-SANG (KR)
LEE SUNG-MIN (KR)
CHO WON-YOUNG (KR)
KIM BA-DA (KR)
LEE DONG-HYUN (KR)
YU YEON-SANG (KR)
LEE SUNG-MIN (KR)
CHO WON-YOUNG (KR)
KIM BA-DA (KR)
LEE DONG-HYUN (KR)
Application Number:
PCT/KR2022/009727
Publication Date:
March 23, 2023
Filing Date:
July 06, 2022
Export Citation:
Assignee:
AGILESODA INC (KR)
International Classes:
G06Q10/04; G06F30/27; G06N20/00; G06Q10/06; G06Q10/10; G06F111/06
Foreign References:
| KR101984760B1 | 2019-05-31 | |||
| KR20190045104A | 2019-05-02 | |||
| KR20210086131A | 2021-07-08 | |||
| KR20210099932A | 2021-08-13 | |||
| KR102257082B1 | 2021-05-28 | |||
| KR102365168B1 | 2022-02-18 |
Attorney, Agent or Firm:
WOO, Kwang-Je (KR)
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