Publication:

Hierarchical Reinforcement Learning: A Survey and Open Research Challenges

Date

2022
Journal article
https://doi.org/10.3390/make4010009
Simple item page Full metadata Statistics
 
dc.contributor.authorHutsebaut-Buysse, Matthias
dc.contributor.authorMets, Kevin
dc.contributor.authorLatre, Steven
dc.contributor.imecauthorHutsebaut-Buysse, Matthias
dc.contributor.imecauthorMets, Kevin
dc.contributor.imecauthorLatre, Steven
dc.contributor.orcidimecHutsebaut-Buysse, Matthias::0000-0001-6091-294X
dc.contributor.orcidimecMets, Kevin::0000-0002-4812-4841
dc.contributor.orcidimecLatre, Steven::0000-0003-0351-1714
dc.date.accessioned2022-04-27T07:34:41Z
dc.date.available2022-04-14T02:09:41Z
dc.date.available2022-04-27T07:34:41Z
dc.date.issued2022
dc.description.wosFundingTextY This research received funding from the Flemish Government under the "Onderzoeksprogramma Artificile Intelligentie (AI) Vlaanderen" programme.
dc.identifier.doi10.3390/make4010009
dc.identifier.issn2504-4990
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39617
dc.publisherMDPI
dc.source.beginpage172
dc.source.endpage221
dc.source.issue1
dc.source.journalMACHINE LEARNING AND KNOWLEDGE EXTRACTION
dc.source.numberofpages50
dc.source.volume4
dc.subject.keywordsDEEP NEURAL-NETWORKS
dc.subject.keywordsLEVEL
dc.subject.keywordsABSTRACTION
dc.subject.keywordsFRAMEWORK
dc.subject.keywordsTIME
dc.title

Hierarchical Reinforcement Learning: A Survey and Open Research Challenges

dc.typeJournal article
dspace.entity.typePublication
Files

Original bundle

Name:
make-04-00009-v2.pdf
Size:
1.31 MB
Format:
Adobe Portable Document Format
Description:
Published version
Download
Publication available in collections:
Articles