A projected primal-dual gradient optimal control method for deep reinforcement learning.

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Title: A projected primal-dual gradient optimal control method for deep reinforcement learning.
Authors: Gottschalk, Simon1 (AUTHOR) simon.gottschalk@itwm.fraunhofer.de, Burger, Michael1 (AUTHOR), Gerdts, Matthias2 (AUTHOR)
Source: Journal of Mathematics in Industry. 4/7/2020, Vol. 10 Issue 1, p1-22. 22p.
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  Data: A projected primal-dual gradient optimal control method for deep reinforcement learning.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Mathematics+in+Industry%22">Journal of Mathematics in Industry</searchLink>. 4/7/2020, Vol. 10 Issue 1, p1-22. 22p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1186/s13362-020-00075-3
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      – Code: eng
        Text: English
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        PageCount: 22
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      – TitleFull: A projected primal-dual gradient optimal control method for deep reinforcement learning.
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            NameFull: Gottschalk, Simon
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            NameFull: Burger, Michael
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              Text: 4/7/2020
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              Y: 2020
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