Air Spring Controlled by Reinforcement Learning Algorithm

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dc.contributor.authorRágulík Jiřícs
dc.contributor.authorSivčák Michalcs
dc.date.accessioned2022-01-29T18:13:49Z
dc.date.available08-49-2021en
dc.date.available2022-01-29T18:13:49Z
dc.date.issued2020cs
dc.format.extent4cs
dc.identifier.isbn978-80-214-5896-3cs
dc.identifier.issn1805-8248cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/161602
dc.language.isoengcs
dc.publisherBrno University of Technology Institute of Solid Mechanics, Mechatronics and Biomechanicscs
dc.publisher.cityBrnocs
dc.relation.ispartofEngineering Mechanics 2020en
dc.relation.urihttps://www.engmech.cz/im/im/page/proccs
dc.subjectAir springcs
dc.subjectdeep deterministic policy gradientcs
dc.subjectDDPGcs
dc.subjectreward function designcs
dc.titleAir Spring Controlled by Reinforcement Learning Algorithmen
dc.titleAir Spring Controlled by Reinforcement Learning Algorithmcs
local.citation.epage428-431cs
local.citation.spage428-431cs
local.event.locationBrnoen
local.identifier.publikace8299
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