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Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling
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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Seong Whan | - |
| dc.date.accessioned | 2021-08-27T22:29:29Z | - |
| dc.date.available | 2021-08-27T22:29:29Z | - |
| dc.date.created | 2021-04-22 | - |
| dc.date.issued | 2018-07-12 | - |
| dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/18383 | - |
| dc.publisher | International Machine Learning Society(IMLS) | - |
| dc.title | Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling | - |
| dc.title.alternative | Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling | - |
| dc.type | Conference | - |
| dc.contributor.affiliatedAuthor | Lee, Seong Whan | - |
| dc.identifier.bibliographicCitation | The 35th International Conference on Machine Learning (ICML2018) | - |
| dc.relation.isPartOf | The 35th International Conference on Machine Learning (ICML2018) | - |
| dc.relation.isPartOf | Proc. of the 35th International Conference on Machine Learning(ICML2018) | - |
| dc.citation.title | The 35th International Conference on Machine Learning (ICML2018) | - |
| dc.citation.conferencePlace | SW | - |
| dc.citation.conferenceDate | 2018-07-10 | - |
| dc.type.rims | CONF | - |
| dc.description.journalClass | 1 | - |
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