58
0
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 노지성 | - |
| dc.date.accessioned | 2024-05-22T01:11:45Z | - |
| dc.date.available | 2024-05-22T01:11:45Z | - |
| dc.date.issued | 2023-07 | - |
| dc.identifier.citation | SYSTEMS, Page. 350-364 | - |
| dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/190359 | - |
| dc.publisher | MDPI | - |
| dc.title | Reinforcement Learning for Optimizing Can-Order Policy with the Rolling Horizon Method | - |
| dc.type | Article | - |
| dc.relation.page | 350-364 | - |
| dc.relation.journal | SYSTEMS | - |
| dc.relation.code | 2023043407 | - |
| dc.sector.campus | E | - |
| dc.sector.daehak | EXECUTIVE VICE PRESIDENT FOR ERICA[E] | - |
| dc.identifier.pid | tppeon | - |
- Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
