Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/46154
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dc.contributor.authorVANHERLE, Bram-
dc.contributor.authorMICHIELS, Nick-
dc.contributor.authorVAN REETH, Frank-
dc.date.accessioned2025-06-12T11:47:41Z-
dc.date.available2025-06-12T11:47:41Z-
dc.date.issued2024-
dc.date.submitted2025-05-24T16:13:14Z-
dc.identifier.urihttp://hdl.handle.net/1942/46154-
dc.description.abstractWe analyze the benefit of data augmentations for overcoming the sim-to-real gap and use the results to develop a genetic learning algorithm for finding augmentation policies.-
dc.language.isoen-
dc.publisherZenodo-
dc.titleGenetic Learning for Designing Sim-to-Real Data Augmentations Source Code-
dc.typeOther-
local.bibliographicCitation.jcatO-
local.type.refereedNon-Refereed-
local.type.specifiedSoftware Package-
dc.identifier.doi10.5281/zenodo.15505179-
dc.identifier.urlhttps://zenodo.org/doi/10.5281/zenodo.15505179-
local.provider.typedatacite-
local.uhasselt.internationalno-
local.contributor.datacreatorVanherle, Bram-
local.contributor.datacreatorMichiels, Nick-
dc.rights.accessCreative Commons Attribution 4.0 International-
item.fulltextNo Fulltext-
item.contributorVANHERLE, Bram-
item.contributorMICHIELS, Nick-
item.contributorVAN REETH, Frank-
item.contributorVanherle, Bram-
item.contributorMichiels, Nick-
item.fullcitationVANHERLE, Bram; MICHIELS, Nick & VAN REETH, FrankVanherle, Bram & Michiels, Nick (2024) Genetic Learning for Designing Sim-to-Real Data Augmentations Source Code.-
item.accessRightsClosed Access-
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