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.
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.
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  Data: High-fidelity data-driven dynamics model for reinforcement learning-based control in HL-3 tokamak.
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  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
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        Value: 10.1038/s42005-025-02302-y
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              Text: 10/3/2025
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