{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T16:25:42Z","timestamp":1779294342921,"version":"3.51.4"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T00:00:00Z","timestamp":1554076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,4]]},"DOI":"10.1109\/infcomw.2019.8845171","type":"proceedings-article","created":{"date-parts":[[2019,9,23]],"date-time":"2019-09-23T22:23:05Z","timestamp":1569277385000},"page":"879-885","source":"Crossref","is-referenced-by-count":66,"title":["DeepViNE: Virtual Network Embedding with Deep Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Mahdi","family":"Dolati","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seyedeh Bahereh","family":"Hassanpour","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Majid","family":"Ghaderi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ahmad","family":"Khonsari","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/NOMS.2014.6838258"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/EuCNC.2014.6882668"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CSE-EUC.2017.77"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CNSM.2016.7818395"},{"key":"ref15","article-title":"RDAM: A reinforcement learning based dynamic attribute matrix representation for virtual network embedding","author":"yao","year":"0","journal-title":"IEEE Trans Emerg Topics Comput 2018"},{"key":"ref16","article-title":"Convolutional neural networks for speech recognition","volume":"22","author":"abdel-hamid","year":"2014","journal-title":"IEEE Transactions on Audio Speech and Language Processing"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3005745.3005750"},{"key":"ref18","article-title":"Embedding planar graphs on the grid","author":"schnyder","year":"0","journal-title":"Proc ACM-SIAM SODA"},{"key":"ref19","article-title":"Dueling network architectures for deep reinforcement learning","author":"wang","year":"0","journal-title":"Proc ICML"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2014.6847918"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2013.64"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcs.2012.10.036"},{"key":"ref5","author":"rost","year":"2018","journal-title":"Virtual network embedding approximations Leveraging randomized rounding"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2018.8486263"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1186\/s13174-018-0087-2"},{"key":"ref2","article-title":"Energy-aware virtual network embedding","volume":"22","author":"zhang","year":"2014","journal-title":"IEEE\/ACM Trans Netw"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/SURV.2013.013013.00155"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.01.025"},{"key":"ref20","article-title":"Tensorflow: A system for large-scale machine learning","author":"abadi","year":"0","journal-title":"Proc OSDI"}],"event":{"name":"IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","location":"Paris, France","start":{"date-parts":[[2019,4,29]]},"end":{"date-parts":[[2019,5,2]]}},"container-title":["IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8831168\/8845034\/08845171.pdf?arnumber=8845171","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T11:02:57Z","timestamp":1658142177000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8845171\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,4]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/infcomw.2019.8845171","relation":{},"subject":[],"published":{"date-parts":[[2019,4]]}}}