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dc.contributor.authorPolvara, R
dc.contributor.authorPatacchiola, M
dc.contributor.authorsharma, sanjay
dc.contributor.authorWan, Jian
dc.contributor.authorManning, Andrew
dc.contributor.authorSutton, R
dc.contributor.authorCangelosi, A
dc.date.accessioned2023-05-05T00:55:25Z
dc.date.available2023-05-05T00:55:25Z
dc.date.issued2017-09-11
dc.identifier.urihttps://pearl.plymouth.ac.uk/handle/10026.1/20817
dc.relation.ispartofarXiv
dc.subjectClinical Research
dc.titleAutonomous Quadrotor Landing using Deep Reinforcement Learning
dc.typepreprint
dc.identifier.doi10.48550/arxiv.1709.03339
plymouth.organisational-group|Plymouth
plymouth.organisational-group|Plymouth|Research Groups
plymouth.organisational-group|Plymouth|Faculty of Science and Engineering
plymouth.organisational-group|Plymouth|Faculty of Science and Engineering|School of Engineering, Computing and Mathematics
plymouth.organisational-group|Plymouth|Faculty of Science and Engineering|School of Biological and Marine Sciences
plymouth.organisational-group|Plymouth|Research Groups|Marine Institute
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA
plymouth.organisational-group|Plymouth|Users by role
plymouth.organisational-group|Plymouth|Users by role|Academics
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA|UoA07 Earth Systems and Environmental Sciences
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA|UoA12 Engineering
plymouth.organisational-group|Plymouth|Users by role|Researchers in ResearchFish submission
dc.date.updated2023-05-05T00:55:24Z
rioxxterms.versionofrecord10.48550/arxiv.1709.03339


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