<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Journal Article</dc:product_type><dc:title>PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking</dc:title><dc:creator>Xu, Zhiyuan (ORCID:0000000328793244); Wu, Kun (ORCID:0000000320952140); Zhang, Weiyi; Tang, Jian (ORCID:0000000344180114); Wang, Yanzhi (ORCID:0000000230247990); Xue, Guoliang (ORCID:0000000258338894)</dc:creator><dc:corporate_author/><dc:editor/><dc:description/><dc:publisher/><dc:date>2021-08-01</dc:date><dc:nsf_par_id>10303785</dc:nsf_par_id><dc:journal_name>IEEE Journal on Selected Areas in Communications</dc:journal_name><dc:journal_volume>39</dc:journal_volume><dc:journal_issue>8</dc:journal_issue><dc:page_range_or_elocation/><dc:issn>0733-8716</dc:issn><dc:isbn/><dc:doi>https://doi.org/10.1109/JSAC.2021.3087270</dc:doi><dcq:identifierAwardId>1704092</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>