{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T20:58:50Z","timestamp":1777323530973,"version":"3.51.4"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/100010665","name":"BigStorage: Storage-Based Convergence Between HPC and Cloud to Handle Big Data project from the European Union through the Marie Sk\u0142odowska-Curie Actions framework","doi-asserted-by":"publisher","award":["H2020-MSCA-ITN-2014-642963"],"award-info":[{"award-number":["H2020-MSCA-ITN-2014-642963"]}],"id":[{"id":"10.13039\/100010665","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2017.2771827","type":"journal-article","created":{"date-parts":[[2017,11,17]],"date-time":"2017-11-17T19:08:53Z","timestamp":1510945733000},"page":"576-588","source":"Crossref","is-referenced-by-count":70,"title":["Reinforcement Learning-Based and Parametric Production-Maintenance Control Policies for a Deteriorating Manufacturing System"],"prefix":"10.1109","volume":"6","author":[{"given":"A. S.","family":"Xanthopoulos","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Athanasios","family":"Kiatipis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D. E.","family":"Koulouriotis","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sepp","family":"Stieger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ifacol.2015.06.405"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2015.2465961"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2015.2417153"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/957970"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2017.2687426"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2017.03.019"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1108\/IMDS-07-2013-0314"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2015.05.008"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/nav.20107"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/S0951-8320(01)00141-7"},{"key":"ref28","first-page":"202","article-title":"Reinforcement learning algorithms for average-payoff Markovian decision processes","author":"singh","year":"1994","journal-title":"Proc Nat Conf Artif Intell"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2016.2523802"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-307-3.50045-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/03610926.2012.694550"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10100-015-0403-x"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000019802.64038.6c"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/03610926.2013.827723"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-013-0864-5"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-014-0963-y"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1017\/S0269964812000423"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2015.1041569"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2014.2315922"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/07408179908969857"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1504\/IJMTM.2010.032894"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1080\/07408170208928880"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2013.07.015"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-15729-0"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.5267\/j.ijiec.2016.2.002"},{"key":"ref25","volume":"1","author":"sutton","year":"1998","journal-title":"Reinforcement Learning An Introduction"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08114172.pdf?arnumber=8114172","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,11]],"date-time":"2021-10-11T03:00:24Z","timestamp":1633921224000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8114172\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/access.2017.2771827","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}