<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-YZ5A8OFI</identifier><date>2025</date><creator>Al Shaikh, Rana Zuhair</creator><creator>Al-Nayar, Muna M. Jawad</creator><creator>Hasan, Ahmed M.</creator><relation>documents/doc/Y/URN_NBN_SI_doc-YZ5A8OFI_001.pdf</relation><relation>documents/doc/Y/URN_NBN_SI_doc-YZ5A8OFI_001.txt</relation><format format_type="volume">49</format><format format_type="issue">7</format><format format_type="type">article</format><format format_type="extent">str. 77-88</format><identifier identifier_type="DOI">10.31449/inf.v49i7.6895</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">236308483</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-YZ5A8OFI</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">objava</subject><subject language_type_id="slv">porazdelitev obremenitve</subject><subject language_type_id="slv">prijava</subject><subject language_type_id="eng">pub/sup system</subject><subject language_type_id="slv">učenje z okrepitvijo</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Reinforcement learning algorithms for adaptive load balancing in publish/subscribe systems: PPO, UCB, and epsilon-greedy approaches</title></Record>