Experimental device for application of reinforcement learning algorithms to pneumatic springs

Simple item page
dc.contributor.authorSivčák Michalcs
dc.contributor.authorRágulík Jiřícs
dc.date.accessioned2022-01-29T19:05:02Z
dc.date.available25-49-2021en
dc.date.available2022-01-29T19:05:02Z
dc.date.issued2021cs
dc.format.extent4cs
dc.identifier.isbn978-80-270-9946-7cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/162339
dc.language.isoengcs
dc.publisherČeská společnost pro mechanikucs
dc.publisher.cityLibereccs
dc.relation.ispartofApplied mechanics 2021, book of full textsen
dc.subjectReinforcement learningcs
dc.subjectneural networkcs
dc.subjectcontrolled air springcs
dc.titleExperimental device for application of reinforcement learning algorithms to pneumatic springscs
local.citation.epage42-45cs
local.citation.spage42-45cs
local.event.locationLiberecen
local.identifier.publikace9036
Files
Collections