A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups. | D2R Server publishing the DBLP Bibliography Database, hosted at L3S Research Center

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dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Bingyuan_Hong>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Funing_Li>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Sebastian_Lang>
dc:creator	<https://dblp.l3s.de/d2r/resource/authors/Tobias_Reggelin>
foaf:homepage	<http://dx.doi.org/doi.org%2F10.1007%2Fs10845-023-02094-4>
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dc:identifier	DBLP journals/jim/LiLHR24 (xsd:string)
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dcterms:issued	2024 (xsd:gYear)
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foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Sebastian_Lang>
foaf:maker	<https://dblp.l3s.de/d2r/resource/authors/Tobias_Reggelin>
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dc:title	A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups. (xsd:string)
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