{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T03:30:29Z","timestamp":1782790229808,"version":"3.54.5"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61802014"],"award-info":[{"award-number":["61802014"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.3010329","type":"journal-article","created":{"date-parts":[[2020,7,20]],"date-time":"2020-07-20T21:22:31Z","timestamp":1595280151000},"page":"133212-133224","source":"Crossref","is-referenced-by-count":62,"title":["Cooperative Edge Caching: A Multi-Agent Deep Learning Based Approach"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8206-7457","authenticated-orcid":false,"given":"Yuming","family":"Zhang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8129-8675","authenticated-orcid":false,"given":"Bohao","family":"Feng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7454-0905","authenticated-orcid":false,"given":"Wei","family":"Quan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9480-2415","authenticated-orcid":false,"given":"Aleteng","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2127-1438","authenticated-orcid":false,"given":"Keshav","family":"Sood","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Youfang","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8906-813X","authenticated-orcid":false,"given":"Hongke","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/APNOMS.2017.8094149"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2019.1800764"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761349"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3341216.3342214"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2013.2274201"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2017.2760281"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2852278"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761491"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2867191"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2018.8647483"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2016.2549398"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2018.1700325"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2017.2780834"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS.2005.16"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2018.8422547"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2016.2597851"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2984011"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2926625"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2906789"},{"key":"ref18","article-title":"Efficient provision of service function chains in overlay networks using reinforcement learning","author":"li","year":"2019","journal-title":"IEEE Trans Cloud Comput"},{"key":"ref19","first-page":"6379","article-title":"Multi-agent actor-critic for mixed cooperative-competitive environments","author":"lowe","year":"2017","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2878435"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2016.7474343"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2018.2882583"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2017.1600330"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/3810350"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2017.1700246"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2685434"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/9548262"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICCW.2015.7247608"},{"key":"ref2","year":"0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2908280"},{"key":"ref1","year":"0","journal-title":"Cisco Annual Internet Report (2018–2023) White Paper"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1134\/S1064230710050102"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2019.1800426"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2916314"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8762084"},{"key":"ref47","article-title":"Playing Atari with deep reinforcement learning","author":"mnih","year":"2013","journal-title":"arXiv 1312 5602"},{"key":"ref21","article-title":"The reactor: A fast and sample-efficient actor-critic agent for reinforcement learning","author":"gruslys","year":"2017","journal-title":"arXiv 1704 04651"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2019.2912365"},{"key":"ref24","article-title":"Continuous control with deep reinforcement learning","author":"lillicrap","year":"2015","journal-title":"arXiv 1509 02971"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2014.2321293"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2018.1800109"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761121"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CISS.2018.8362276"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.08.032"},{"key":"ref25","article-title":"Deep reinforcement learning in large discrete action spaces","author":"dulac-arnold","year":"2015","journal-title":"arXiv 1512 07679"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09144224.pdf?arnumber=9144224","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T15:57:35Z","timestamp":1642003055000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9144224\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2020.3010329","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}