Advancements in Safe Deep Reinforcement Learning for Real-Time Strategy Games and Industry Applications

dc.contributor.author	Andersen, Per-Arne
dc.date.accessioned	2022-04-20T13:21:43Z
dc.date.available	2022-04-20T13:21:43Z
dc.date.issued	2022
dc.identifier.citation	Andersen, P. (2022) Advancements in Safe Deep Reinforcement Learning for Real-Time Strategy Games and Industry Applications (Phd thesis) University of Agder
dc.identifier.isbn	978-82-8427-070-8
dc.identifier.issn	1504-9272
dc.identifier.uri	https://hdl.handle.net/11250/2991692
dc.language.iso	eng	en_US
dc.publisher	University of Agder	en_US
dc.relation.ispartofseries	Doctoral dissertations at the University of Agder;361
dc.title	Advancements in Safe Deep Reinforcement Learning for Real-Time Strategy Games and Industry Applications	en_US
dc.type	Doctoral thesis	en_US
dc.description.version	publishedVersion	en_US
dc.rights.holder	© 2021 The Author(s)	en_US
dc.subject.nsi	VDP::Technology: 500::Information and communication technology: 550	en_US
dc.source.pagenumber	566	en_US
dc.source.issue	361	en_US