Title:
DEVICE AND METHOD FOR PROVIDING OBJECT PLACEMENT MODEL OF INTERIOR DESIGN SERVICE ON BASIS OF REINFORCEMENT LEARNING
Document Type and Number:
WIPO Patent Application WO/2022/139469
Kind Code:
A1
Abstract:
An object placement model providing method according to an embodiment of the present invention may comprise the steps of: generating a variable configuring a state of a virtual space, a control operation changing the variable of the virtual space, an agent which is an object subjected to the control operation in the virtual space, a policy defining an effect of a predetermined variable on another variable, and a training environment subjected to reinforcement learning; generating a first neural network which trains a value function predicting a reward; generating a second neural network which trains a policy function determining a control operation to maximize finally accumulated rewards among available control operations on the basis of a prediction value of the value function for each state changed by the available control operations; and performing reinforcement learning to minimize cost functions of the first neural network and the second neural network.
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Inventors:
KIM SOO MIN (KR)
Application Number:
PCT/KR2021/019629
Publication Date:
June 30, 2022
Filing Date:
December 22, 2021
Export Citation:
Assignee:
URBANBASE INC (KR)
International Classes:
G06Q50/08; G06F30/20; G06N3/08; G06Q10/06; G06Q50/10; G06T19/00
Foreign References:
| KR20190106867A | 2019-09-18 | |||
| KR20170054068A | 2017-05-17 | |||
| KR20190065933A | 2019-06-12 | |||
| US20090160856A1 | 2009-06-25 | |||
| US20190026957A1 | 2019-01-24 |
Attorney, Agent or Firm:
KO, Jin young (KR)
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