Title:
INVERSE REINFORCEMENT LEARNING-BASED DELIVERY MEANS DETECTION APPARATUS AND METHOD
Document Type and Number:
WIPO Patent Application WO/2022/045425
Kind Code:
A1
Abstract:
In an inverse reinforcement learning-based delivery means detection apparatus and method according to a preferred embodiment of the present invention, an artificial neural network model may be trained by using an actual deliveryman's driving record and imitated driving record, and from a specific deliveryman's driving record, a delivery means of the corresponding deliveryman may be detected by using the trained artificial neural network model, so that a deliveryman suspected of being abusive may be identified.
Inventors:
YOON DAE YOUNG (KR)
LEE JAE IL (KR)
KIM TAE HOON (KR)
LEE JAE IL (KR)
KIM TAE HOON (KR)
Application Number:
PCT/KR2020/012019
Publication Date:
March 03, 2022
Filing Date:
September 07, 2020
Export Citation:
Assignee:
WOOWA BROTHERS CO LTD (KR)
International Classes:
G06N3/08; G06N3/04; G06Q50/28
Foreign References:
| KR101842488B1 | 2018-03-27 | |||
| KR20190069216A | 2019-06-19 | |||
| JP2018126797A | 2018-08-16 | |||
| KR20060130665A | 2006-12-19 | |||
| KR20190139808A | 2019-12-18 |
Attorney, Agent or Firm:
WOOIN PATENT & LAW FIRM (KR)
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