A Reinforcement Learning Approach for the Report Scheduling Process Under Multiple Constraints

dc.contributor.authorBeatriz M. Méndez-Hernández
dc.contributor.authorJessica Coto Palacio
dc.contributor.authorYailen Martínez Jiménez
dc.contributor.authorAnn Nowé
dc.contributor.authorErick David Rodriguez Bazan
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T20:27:43Z
dc.date.available2026-03-22T20:27:43Z
dc.date.issued2018
dc.identifier.doi10.1007/978-3-030-01132-1_26
dc.identifier.urihttps://doi.org/10.1007/978-3-030-01132-1_26
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/82133
dc.language.isoen
dc.publisherSpringer Science+Business Media
dc.relation.ispartofLecture notes in computer science
dc.sourceUniversidad Central
dc.subjectComputer science
dc.subjectScheduling (production processes)
dc.subjectReinforcement learning
dc.subjectMathematical optimization
dc.subjectJob shop scheduling
dc.subjectOperations research
dc.subjectDynamic priority scheduling
dc.subjectDistributed computing
dc.subjectIndustrial engineering
dc.titleA Reinforcement Learning Approach for the Report Scheduling Process Under Multiple Constraints
dc.typebook-chapter

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