Reinforcement Learning-Driven Negotiation in a Multi-Agent System for Truck Dispatching in Open-Pit Mining.
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| Title: | Reinforcement Learning-Driven Negotiation in a Multi-Agent System for Truck Dispatching in Open-Pit Mining. |
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| Authors: | Herzog, Otthein1,2, Icarte-Ahumada, Gabriel2,3, gicarte@unap.cl, Arratia, Daniel3, Lucero, Cristian1,3 |
| Source: | Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 5, p2343, 19p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 192636121 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app16052343 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 19 StartPage: 2343 Titles: – TitleFull: Reinforcement Learning-Driven Negotiation in a Multi-Agent System for Truck Dispatching in Open-Pit Mining. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Herzog, Otthein – PersonEntity: Name: NameFull: Icarte-Ahumada, Gabriel – PersonEntity: Name: NameFull: Arratia, Daniel – PersonEntity: Name: NameFull: Lucero, Cristian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 16 – Type: issue Value: 5 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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