High-fidelity data-driven dynamics model for reinforcement learning-based control in HL-3 tokamak.
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| Title: | High-fidelity data-driven dynamics model for reinforcement learning-based control in HL-3 tokamak. |
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| Authors: | Wu, Niannian1,2 (AUTHOR), Yang, Zongyu2 (AUTHOR), Li, Rongpeng1 (AUTHOR) lirongpeng@zju.edu.cn, Wei, Ning3 (AUTHOR), Chen, Yihang2 (AUTHOR), Dong, Qianyun1,2 (AUTHOR), Li, Jiyuan2 (AUTHOR), Zheng, Guohui2 (AUTHOR), Gong, Xinwen2 (AUTHOR), Gao, Feng3 (AUTHOR), Li, Bo2 (AUTHOR), Xu, Min2 (AUTHOR), Zhao, Zhifeng1,3 (AUTHOR) zhaozf@zhejianglab.org, Zhong, Wulyu2 (AUTHOR) zhongwl@swip.ac.cn |
| Source: | Communications Physics. 10/3/2025, Vol. 8 Issue 1, p1-14. 14p. |
| Database: | Academic Search Ultimate |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 188477127 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: High-fidelity data-driven dynamics model for reinforcement learning-based control in HL-3 tokamak. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wu%2C+Niannian%22">Wu, Niannian</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Zongyu%22">Yang, Zongyu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Rongpeng%22">Li, Rongpeng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lirongpeng@zju.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Wei%2C+Ning%22">Wei, Ning</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Yihang%22">Chen, Yihang</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dong%2C+Qianyun%22">Dong, Qianyun</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Jiyuan%22">Li, Jiyuan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zheng%2C+Guohui%22">Zheng, Guohui</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gong%2C+Xinwen%22">Gong, Xinwen</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gao%2C+Feng%22">Gao, Feng</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Bo%22">Li, Bo</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Xu%2C+Min%22">Xu, Min</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Zhifeng%22">Zhao, Zhifeng</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<i> zhaozf@zhejianglab.org</i><br /><searchLink fieldCode="AR" term="%22Zhong%2C+Wulyu%22">Zhong, Wulyu</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> zhongwl@swip.ac.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Communications+Physics%22">Communications Physics</searchLink>. 10/3/2025, Vol. 8 Issue 1, p1-14. 14p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=188477127 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1038/s42005-025-02302-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Titles: – TitleFull: High-fidelity data-driven dynamics model for reinforcement learning-based control in HL-3 tokamak. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wu, Niannian – PersonEntity: Name: NameFull: Yang, Zongyu – PersonEntity: Name: NameFull: Li, Rongpeng – PersonEntity: Name: NameFull: Wei, Ning – PersonEntity: Name: NameFull: Chen, Yihang – PersonEntity: Name: NameFull: Dong, Qianyun – PersonEntity: Name: NameFull: Li, Jiyuan – PersonEntity: Name: NameFull: Zheng, Guohui – PersonEntity: Name: NameFull: Gong, Xinwen – PersonEntity: Name: NameFull: Gao, Feng – PersonEntity: Name: NameFull: Li, Bo – PersonEntity: Name: NameFull: Xu, Min – PersonEntity: Name: NameFull: Zhao, Zhifeng – PersonEntity: Name: NameFull: Zhong, Wulyu IsPartOfRelationships: – BibEntity: Dates: – D: 03 M: 10 Text: 10/3/2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 23993650 Numbering: – Type: volume Value: 8 – Type: issue Value: 1 Titles: – TitleFull: Communications Physics Type: main |
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