Detailed Information
Cited 0 time in 
Cited 0 time in 
Cited 0 time in
Metadata Downloads
자재 주문량 결정을 위한 심층 강화학습 적용 및 의사결정나무 기반 최적 정책 해석
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 오요셉 | - |
| dc.date.accessioned | 2025-02-17T05:00:24Z | - |
| dc.date.available | 2025-02-17T05:00:24Z | - |
| dc.date.issued | 2024-10 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/122121 | - |
| dc.format.extent | 8 | - |
| dc.language | 한국어 | - |
| dc.language.iso | KOR | - |
| dc.publisher | 대한산업공학회 | - |
| dc.title | 자재 주문량 결정을 위한 심층 강화학습 적용 및 의사결정나무 기반 최적 정책 해석 | - |
| dc.title.alternative | Application of Deep Reinforcement Learning for Material Order Quantity Decision and Interpretation of Optimal Policy Using a Decision Tree | - |
| dc.type | Article | - |
| dc.identifier.bibliographicCitation | 대한산업공학회 2024 추계학술대회, pp 2020 - 2027 | - |
| dc.citation.title | 대한산업공학회 2024 추계학술대회 | - |
| dc.citation.startPage | 2020 | - |
| dc.citation.endPage | 2027 | - |
| dc.type.docType | Proceeding | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | other | - |
- Files in This Item
- There are no files associated with this item.
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.