OPTIMIZING HYBRID TRUCK-DRONE DELIVERY SYSTEMS USING REINFORCEMENT LEARNING: A CUSTOMER-CENTRIC AND TRAFFIC-AWARE APPROACH

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Main Author: unknown (author)
Format: masterThesis
Published: 2020
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Online Access:https://eprints.kfupm.edu.sa/id/eprint/143462/1/202303370_Abdullahi_Sani_Shuaibu_Thesis_Draft.pdf
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author unknown
author_facet unknown
author_role author
dc.creator.*.fl_str_mv unknown
dc.date.*.fl_str_mv 2020
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/143462/1/202303370_Abdullahi_Sani_Shuaibu_Thesis_Draft.pdf
OPTIMIZING HYBRID TRUCK-DRONE DELIVERY SYSTEMS USING REINFORCEMENT LEARNING: A CUSTOMER-CENTRIC AND TRAFFIC-AWARE APPROACH. Masters thesis, King Fahd University of Petroleum and Minerals.
dc.language.none.fl_str_mv en
dc.relation.none.fl_str_mv https://eprints.kfupm.edu.sa/id/eprint/143462/
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Computer
Engineering
Math
dc.title.none.fl_str_mv OPTIMIZING HYBRID TRUCK-DRONE DELIVERY SYSTEMS USING REINFORCEMENT LEARNING: A CUSTOMER-CENTRIC AND TRAFFIC-AWARE APPROACH
dc.type.none.fl_str_mv Thesis
NonPeerReviewed
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/masterThesis
eu_rights_str_mv openAccess
format masterThesis
id KFUPM_f8ebff679091ae3b5a61498258fdaf50
identifier_str_mv OPTIMIZING HYBRID TRUCK-DRONE DELIVERY SYSTEMS USING REINFORCEMENT LEARNING: A CUSTOMER-CENTRIC AND TRAFFIC-AWARE APPROACH. Masters thesis, King Fahd University of Petroleum and Minerals.
language_invalid_str_mv en
network_acronym_str KFUPM
network_name_str King Fahd University of Petroleum and Minerals
oai_identifier_str oai::143462
publishDate 2020
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling OPTIMIZING HYBRID TRUCK-DRONE DELIVERY SYSTEMS USING REINFORCEMENT LEARNING: A CUSTOMER-CENTRIC AND TRAFFIC-AWARE APPROACHComputerEngineeringMathThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/143462/1/202303370_Abdullahi_Sani_Shuaibu_Thesis_Draft.pdf OPTIMIZING HYBRID TRUCK-DRONE DELIVERY SYSTEMS USING REINFORCEMENT LEARNING: A CUSTOMER-CENTRIC AND TRAFFIC-AWARE APPROACH. Masters thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/143462/2020info:eu-repo/semantics/openAccessunknownoai::1434622025-05-27T10:20:09Z
spellingShingle OPTIMIZING HYBRID TRUCK-DRONE DELIVERY SYSTEMS USING REINFORCEMENT LEARNING: A CUSTOMER-CENTRIC AND TRAFFIC-AWARE APPROACH
unknown
Computer
Engineering
Math
status_str publishedVersion
title OPTIMIZING HYBRID TRUCK-DRONE DELIVERY SYSTEMS USING REINFORCEMENT LEARNING: A CUSTOMER-CENTRIC AND TRAFFIC-AWARE APPROACH
title_full OPTIMIZING HYBRID TRUCK-DRONE DELIVERY SYSTEMS USING REINFORCEMENT LEARNING: A CUSTOMER-CENTRIC AND TRAFFIC-AWARE APPROACH
title_fullStr OPTIMIZING HYBRID TRUCK-DRONE DELIVERY SYSTEMS USING REINFORCEMENT LEARNING: A CUSTOMER-CENTRIC AND TRAFFIC-AWARE APPROACH
title_full_unstemmed OPTIMIZING HYBRID TRUCK-DRONE DELIVERY SYSTEMS USING REINFORCEMENT LEARNING: A CUSTOMER-CENTRIC AND TRAFFIC-AWARE APPROACH
title_short OPTIMIZING HYBRID TRUCK-DRONE DELIVERY SYSTEMS USING REINFORCEMENT LEARNING: A CUSTOMER-CENTRIC AND TRAFFIC-AWARE APPROACH
title_sort OPTIMIZING HYBRID TRUCK-DRONE DELIVERY SYSTEMS USING REINFORCEMENT LEARNING: A CUSTOMER-CENTRIC AND TRAFFIC-AWARE APPROACH
topic Computer
Engineering
Math
url https://eprints.kfupm.edu.sa/id/eprint/143462/1/202303370_Abdullahi_Sani_Shuaibu_Thesis_Draft.pdf