<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-QG4SCQV5</identifier><date>2025</date><creator>Wang, Kang</creator><creator>Yang, Yan</creator><relation>documents/doc/Q/URN_NBN_SI_doc-QG4SCQV5_001.pdf</relation><relation>documents/doc/Q/URN_NBN_SI_doc-QG4SCQV5_001.txt</relation><format format_type="issue">16</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 151-170</format><identifier identifier_type="DOI">10.31449/inf.v49i16.7839</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">245517059</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-QG4SCQV5</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">globoko utrjevalno učenje</subject><subject language_type_id="slv">konvolucijske nevronske mreže</subject><subject language_type_id="slv">logistične poti</subject><subject language_type_id="slv">logostika</subject><subject language_type_id="slv">razvrščanje</subject><subject language_type_id="slv">spletna trgovina</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Efficient logistics path optimization and scheduling using deep reinforcement learning and convolutional neural networks</title></Record>