<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-VMIH9Y6M</identifier><date>2025</date><creator>Xiao, Liang</creator><relation>documents/doc/V/URN_NBN_SI_doc-VMIH9Y6M_001.pdf</relation><relation>documents/doc/V/URN_NBN_SI_doc-VMIH9Y6M_001.txt</relation><format format_type="issue">10</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 127-146</format><identifier identifier_type="DOI">10.31449/inf.v49i10.7114</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">239481091</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-VMIH9Y6M</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">dinamične mreže</subject><subject language_type_id="slv">FD3QN</subject><subject language_type_id="slv">globoko okrepljeno učenje</subject><subject language_type_id="slv">inteligentno odločanje</subject><subject language_type_id="slv">kooperativno in varno upravljanje virov</subject><subject language_type_id="slv">umetna inteligenca</subject><title>a federated deep reinforcement learning approach for cross-domain resource cooperative scheduling in hybrid cloud architecture</title><title>FD3QN</title></Record>