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An approach to solving optimal control problems of nonlinear systems by introducing detail-reward mechanism in deep reinforcement learning.

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Title: An approach to solving optimal control problems of nonlinear systems by introducing detail-reward mechanism in deep reinforcement learning.
Authors: Shixuan Yao1, Xiaochen Liu2 lxc_jason@163.com, Yinghui Zhang2, Ze Cui3
Source: Mathematical Biosciences & Engineering. 2022, Vol. 19 Issue 9, p9258-9290. 33p.
Database: Mathematics Source
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Header DbId: msf
DbLabel: Mathematics Source
An: 157803998
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: An approach to solving optimal control problems of nonlinear systems by introducing detail-reward mechanism in deep reinforcement learning.
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  Data: <searchLink fieldCode="AR" term="%22Shixuan+Yao%22">Shixuan Yao</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Xiaochen+Liu%22">Xiaochen Liu</searchLink><relatesTo>2</relatesTo><i> lxc_jason@163.com</i><br /><searchLink fieldCode="AR" term="%22Yinghui+Zhang%22">Yinghui Zhang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ze+Cui%22">Ze Cui</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Mathematical+Biosciences+%26+Engineering%22">Mathematical Biosciences & Engineering</searchLink>. 2022, Vol. 19 Issue 9, p9258-9290. 33p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=157803998
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3934/mbe.2022430
    Languages:
      – Code: eng
        Text: English
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        PageCount: 33
        StartPage: 9258
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      – TitleFull: An approach to solving optimal control problems of nonlinear systems by introducing detail-reward mechanism in deep reinforcement learning.
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            NameFull: Shixuan Yao
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            NameFull: Xiaochen Liu
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            NameFull: Yinghui Zhang
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            NameFull: Ze Cui
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              Text: 2022
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              Y: 2022
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              Value: 19
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              Value: 9
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            – TitleFull: Mathematical Biosciences & Engineering
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