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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Han, Seungyul | - |
| dc.contributor.author | Yeom, Junghyuk | - |
| dc.date.accessioned | 2024-04-11T15:20:03Z | - |
| dc.date.available | 2024-04-11T15:20:03Z | - |
| dc.date.issued | 2024-02 | - |
| dc.description.degree | Master | - |
| dc.description | Graduate School of Artificial Intelligence | - |
| dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/82157 | - |
| dc.identifier.uri | http://unist.dcollection.net/common/orgView/200000744587 | - |
| dc.language | ENG | - |
| dc.publisher | Ulsan National Institute of Science and Technology | - |
| dc.rights.embargoReleaseDate | 9999-12-31 | - |
| dc.rights.embargoReleaseTerms | 9999-12-31 | - |
| dc.subject | 오프라인 강화학습 | - |
| dc.subject | 패널티 | - |
| dc.subject | 보수적 Q-learning | - |
| dc.title.alternative | 효율적 오프라인 강화학습을 위한 패널티 감쇄 기법 | - |
| dc.title | Penalty relaxation techniques for efficient offline reinforcement learning | - |
| dc.type | Thesis | - |
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