Federated proximal policy optimization with action masking: Application collective heating systems

dc.contributor.author	Ghane, Sara
dc.contributor.author	Jacobs, Stef
dc.contributor.author	Elmaz, Furkan
dc.contributor.author	Huybrechts, Thomas
dc.contributor.author	Verhaert, Ivan
dc.contributor.author	Mercelis, Siegfried
dc.contributor.imecauthor	Ghane, Sara
dc.contributor.imecauthor	Elmaz, Furkan
dc.contributor.imecauthor	Huybrechts, Thomas
dc.contributor.imecauthor	Mercelis, Siegfried
dc.contributor.orcidimec	Ghane, Sara::0000-0002-0159-175X
dc.contributor.orcidimec	Elmaz, Furkan::0000-0002-7030-0784
dc.contributor.orcidimec	Huybrechts, Thomas::0000-0002-5611-6331
dc.contributor.orcidimec	Mercelis, Siegfried::0000-0001-9355-6566
dc.date.accessioned	2025-04-13T04:30:49Z
dc.date.available	2025-04-13T04:30:49Z
dc.date.issued	2025-MAY
dc.description.wosFundingText	This work was partly funded by a PhD fellowship of the Research Foundation Flanders (FWO) [1S08624N] .
dc.identifier.doi	10.1016/j.egyai.2025.100506
dc.identifier.issn	2666-5468
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/45522
dc.publisher	ELSEVIER
dc.source.journal	ENERGY AND AI
dc.source.numberofpages	14
dc.source.volume	20
dc.title	Federated proximal policy optimization with action masking: Application collective heating systems
dc.type	Journal article
dspace.entity.type	Publication
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