{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T07:18:26Z","timestamp":1761808706037,"version":"3.35.0"},"reference-count":29,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"European Union – NextGenerationEU"},{"name":"National Recovery and Resilience Plan Greece 2.0","award":["16762"],"award-info":[{"award-number":["16762"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/lsp.2025.3528365","type":"journal-article","created":{"date-parts":[[2025,1,13]],"date-time":"2025-01-13T20:30:45Z","timestamp":1736800245000},"page":"686-690","source":"Crossref","is-referenced-by-count":1,"title":["Explicit Bandwidth Learning for FOREX Trading Using Deep Reinforcement Learning"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1505-4656","authenticated-orcid":false,"given":"Angelos","family":"Nalmpantis","sequence":"first","affiliation":[{"name":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1177-9139","authenticated-orcid":false,"given":"Nikolaos","family":"Passalis","sequence":"additional","affiliation":[{"name":"Department of Chemical Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1288-3667","authenticated-orcid":false,"given":"Anastasios","family":"Tefas","sequence":"additional","affiliation":[{"name":"Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2953870"},{"key":"ref2","article-title":"Layer normalization","author":"Ba","year":"2016","journal-title":"CoRR"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRAIE51050.2020.9358319"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-021-00656-0"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2021.3114119"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2912036"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112872"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISKE54062.2021.9755374"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3115477"},{"key":"ref10","article-title":"Decoupled weight decay regularization","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Loshchilov","year":"2019"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2018.2835143"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO58844.2023.10290075"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2021.11.004"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MLSP52302.2021.9596155"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-020-04916-5"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI47803.2020.9308553"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2944933"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP46576.2022.9897734"},{"key":"ref19","first-page":"759","article-title":"Eligibility traces for off-policy policy evaluation","volume-title":"Proc. 17th Int. Conf. Mach. Learn.","author":"Precup","year":"2000"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-34111-3_2"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/COASE.2009.5234108"},{"article-title":"Proximal policy optimization algorithms","year":"2017","author":"Schulman","key":"ref22"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.116523"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CBI.2017.23"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2020.106401"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390294"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3390\/en15072647"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2008.920231"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2019.2906824"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10802935\/10839129.pdf?arnumber=10839129","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T05:29:07Z","timestamp":1738301347000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10839129\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/lsp.2025.3528365","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"type":"print","value":"1070-9908"},{"type":"electronic","value":"1558-2361"}],"subject":[],"published":{"date-parts":[[2025]]}}}