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Reinforcement learning based production planning in the aquaculture industry

dc.contributor.authorLuna García, Manuel 
dc.contributor.authorPérez Mon, Olaya 
dc.contributor.authorRosillo Camblor, Rafael 
dc.contributor.authorGómez Gómez, Alberto 
dc.date.accessioned2024-11-07T07:24:01Z
dc.date.available2024-11-07T07:24:01Z
dc.date.issued2023
dc.identifier.isbn979-835032759-5
dc.identifier.urihttps://hdl.handle.net/10651/75403
dc.description.sponsorshipThis article was financially supported by the Spanish State Research Agency (Agencia Estatal de Investigacion) of the Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/50110 0 011033), via the project 'Speeding Up the transition towards Resili
dc.format.extentp. 434-438
dc.language.isoeng
dc.relation.ispartofProceedings - 2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023
dc.rights©,
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85191185300&doi=10.1109%2fCSCE60160.2023.00078&partnerID=40&md5=2401737c78ed3087115c57d9f05152c9
dc.titleReinforcement learning based production planning in the aquaculture industry
dc.typeconference output
dc.identifier.doi10.1109/CSCE60160.2023.00078
dc.relation.publisherversionhttp://dx.doi.org/10.1109/CSCE60160.2023.00078


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