{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,24]],"date-time":"2026-10-24T01:53:00Z","timestamp":1792806780993,"version":"4.5.0"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/tmc.2022.3197706","type":"journal-article","created":{"date-parts":[[2022,8,9]],"date-time":"2022-08-09T16:37:03Z","timestamp":1660063023000},"page":"1-14","source":"Crossref","is-referenced-by-count":53,"title":["Online Service Migration in Mobile Edge with Incomplete System Information: A Deep Recurrent Actor-Critic Learning Approach"],"prefix":"10.1109","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2487-2148","authenticated-orcid":false,"given":"Jin","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Exeter, Exeter, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5406-8420","authenticated-orcid":false,"given":"Jia","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Exeter, Exeter, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1395-7314","authenticated-orcid":false,"given":"Geyong","family":"Min","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Exeter, Exeter, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4593-1656","authenticated-orcid":false,"given":"Qiang","family":"Ni","sequence":"additional","affiliation":[{"name":"School of Computing and Communications, InfoLab21, Lancaster University, Lancaster, U.K."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tarek","family":"El-Ghazawi","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, The George Washington University, Washington, DC, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989385"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2966500"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.2999617"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2015.2487344"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11339"},{"key":"ref37","article-title":"Learning to adapt in dynamic, real-world environments through meta-reinforcement learning","author":"nagabandi","year":"2019","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6144"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2015.2478718"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380169"},{"key":"ref30","first-page":"171","article-title":"Crawdad data set epfl\/mobility (v.2009&#x2013;02-24)","author":"piorkowski","year":"2009"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737560"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2020.3010967"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2017.2760160"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2871842"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3326540"},{"key":"ref1","first-page":"1","article-title":"Developing software for multi-access edge computing","volume":"20","author":"sabella","year":"2019","journal-title":"ETSI White Paper"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"mnih","year":"2015","journal-title":"Nature"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3046737"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2016.2604814"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2745201"},{"key":"ref19","article-title":"Proximal policy optimization algorithms","author":"schulman","year":"2017"},{"key":"ref18","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","author":"mnih","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref24","first-page":"3556","article-title":"Representations for stable off-policy reinforcement learning","author":"ghosh","year":"2020","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref23","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref26","article-title":"High-dimensional continuous control using generalized advantage estimation","author":"schulman","year":"2016","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref25","first-page":"1861","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","author":"haarnoja","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref20","first-page":"2117","article-title":"Deep variational reinforcement learning for pomdps","author":"igl","year":"2018","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3078501"},{"key":"ref22","first-page":"7444","article-title":"SOLAR: Deep structured representations for model-based reinforcement learning","author":"zhang","year":"2019","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref21","first-page":"2746","article-title":"Embed to control: A locally linear latent dynamics model for control from raw images","author":"watter","year":"2015","journal-title":"Proc 28th Int Conf Neural Inf Process Syst"},{"key":"ref28","article-title":"Pointer networks","author":"vinyals","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref27","article-title":"Adam: A method for stochastic optimization","author":"kingma","year":"2015","journal-title":"Proc Int Conf Learn Representations"},{"key":"ref29","article-title":"Crawdad dataset roma\/taxi (v. 2014&#x2013;07-17)","author":"bracciale","year":"2014"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148614"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3087198"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2018.8422661"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2019.2957804"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2018.2869954"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2019.2916577"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9149185"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3000300"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7755\/4358975\/09853218.pdf?arnumber=9853218","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,4]],"date-time":"2023-10-04T11:19:28Z","timestamp":1696418368000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9853218\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/tmc.2022.3197706","relation":{},"ISSN":["1536-1233","1558-0660","2161-9875"],"issn-type":[{"value":"1536-1233","type":"print"},{"value":"1558-0660","type":"electronic"},{"value":"2161-9875","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}