Reinforcement learning based production planning in the aquaculture industry

dc.contributor.author	Luna García, Manuel
dc.contributor.author	Pérez Mon, Olaya
dc.contributor.author	Rosillo Camblor, Rafael
dc.contributor.author	Gómez Gómez, Alberto
dc.date.accessioned	2024-11-07T07:24:01Z
dc.date.available	2024-11-07T07:24:01Z
dc.date.issued	2023
dc.identifier.isbn	979-835032759-5
dc.identifier.uri	https://hdl.handle.net/10651/75403
dc.description.sponsorship	This 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.extent	p. 434-438
dc.language.iso	eng
dc.relation.ispartof	Proceedings - 2023 Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2023
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85191185300&doi=10.1109%2fCSCE60160.2023.00078&partnerID=40&md5=2401737c78ed3087115c57d9f05152c9
dc.title	Reinforcement learning based production planning in the aquaculture industry
dc.type	conference output
dc.identifier.doi	10.1109/CSCE60160.2023.00078
dc.relation.publisherversion	http://dx.doi.org/10.1109/CSCE60160.2023.00078

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