Quantile constrained reinforcement learning: A reinforcement learning framework constraining outage probability
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jung, Whiyoung | ko |
| dc.contributor.author | CHO, MYUNG-SIK | ko |
| dc.contributor.author | Park, Jongeui | ko |
| dc.contributor.author | Sung, Youngchul | ko |
| dc.date.accessioned | 2022-11-28T05:00:33Z | - |
| dc.date.available | 2022-11-28T05:00:33Z | - |
| dc.date.created | 2022-11-25 | - |
| dc.date.created | 2022-11-25 | - |
| dc.date.created | 2022-11-25 | - |
| dc.date.issued | 2022-12-01 | - |
| dc.identifier.citation | Thirty-sixth Conference on Neural Information Processing Systems, NeurIPS 2022 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/301096 | - |
| dc.language | English | - |
| dc.publisher | Neural information processing systems foundation | - |
| dc.title | Quantile constrained reinforcement learning: A reinforcement learning framework constraining outage probability | - |
| dc.type | Conference | - |
| dc.identifier.scopusid | 2-s2.0-85163212884 | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | Thirty-sixth Conference on Neural Information Processing Systems, NeurIPS 2022 | - |
| dc.identifier.conferencecountry | US | - |
| dc.identifier.conferencelocation | The New Orleans Convention Center | - |
| dc.contributor.localauthor | Sung, Youngchul | - |
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