{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T01:15:47Z","timestamp":1780535747311,"version":"3.54.1"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"U.S. NSF","doi-asserted-by":"publisher","award":["ECCS-1711056"],"award-info":[{"award-number":["ECCS-1711056"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006754","name":"U.S. Army Research Laboratory","doi-asserted-by":"publisher","award":["W911NF-17-2-0183"],"award-info":[{"award-number":["W911NF-17-2-0183"]}],"id":[{"id":"10.13039\/100006754","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Commun."],"published-print":{"date-parts":[[2023,10]]},"DOI":"10.1109\/tcomm.2023.3296621","type":"journal-article","created":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T17:36:51Z","timestamp":1689701811000},"page":"5661-5674","source":"Crossref","is-referenced-by-count":9,"title":["RELDEC: Reinforcement Learning-Based Decoding of Moderate Length LDPC Codes"],"prefix":"10.1109","volume":"71","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0699-5312","authenticated-orcid":false,"given":"Salman","family":"Habib","sequence":"first","affiliation":[{"name":"Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1759-5026","authenticated-orcid":false,"given":"Allison","family":"Beemer","sequence":"additional","affiliation":[{"name":"Helen and John C. Hartmann Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0942-8006","authenticated-orcid":false,"given":"J\u00f6rg","family":"Kliewer","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of Wisconsin–Eau Claire, Eau Claire, WI, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2021.3073834"},{"key":"ref12","first-page":"22396","article-title":"Learning to decode: Reinforcement learning for decoding of sparse graph-based channel codes","volume":"33","author":"habib","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2009.12.091555"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2010.101910.070303"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SIPS.2004.1363033"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2003.08.015"},{"key":"ref17","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2018.8437926"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-377-6.50034-7"},{"key":"ref18","article-title":"Learning from delayed rewards","author":"watkins","year":"1989"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/BF00115009"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1017\/ATSIP.2019.10"},{"key":"ref48","year":"2023","journal-title":"5G Base Matrices"},{"key":"ref47","year":"2023","journal-title":"TU Kaiserslautern channel codes database"},{"key":"ref42","first-page":"2229","article-title":"Short-term traffic flow prediction of the smart city using 5G Internet of Vehicles based on edge computing","volume":"24","author":"zhou","year":"2023","journal-title":"IEEE Trans Intell Transp Syst"},{"key":"ref41","article-title":"A channel coding benchmark for meta-learning","author":"li","year":"2021","journal-title":"arXiv 2107 07579"},{"key":"ref44","first-page":"543","article-title":"Array codes as low-density parity-check codes","author":"fan","year":"2000","journal-title":"Proc Int Symp Turbo Codes Rel Topics"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2004.831841"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511791338"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/GLOCOM.2001.965981"},{"key":"ref7","year":"2020","journal-title":"5g nr multiplexing and channel coding"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2004.841982"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/18.910578"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1981.1056404"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2018.1700839"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/18.748992"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3043879"},{"key":"ref35","first-page":"3111","article-title":"Q-learning with nearest neighbors","author":"shah","year":"2018","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2010.5650243"},{"key":"ref37","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"2017","journal-title":"Proc Int Conf Mach Learn (PMLR)"},{"key":"ref36","year":"2016","journal-title":"Efficient Channel Coding Implementations for EMMB"},{"key":"ref31","first-page":"816","article-title":"Identifying useful subgoals in reinforcement learning by local graph partitioning","author":"wolfe","year":"2005","journal-title":"Proc 22nd Int Conf Mach Learn (ICML)"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1979.tb01068.x"},{"key":"ref33","first-page":"1043","article-title":"Reinforcement learning with hierarchies of machines","author":"parr","year":"1998","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015355"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1962.1057683"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ISWCS49558.2021.9562199"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/6GSUMMIT49458.2020.9083856"},{"key":"ref38","first-page":"1","article-title":"Meta-Q-learning","author":"fakoor","year":"2020","journal-title":"Proc Int Conf Learn Represent"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9348007"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2916583"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2017.2788405"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ALLERTON.2019.8919799"},{"key":"ref20","first-page":"195","article-title":"Deep reinforcement learning for autonomous vehicles-state of the art","volume":"10","author":"marina","year":"2017","journal-title":"Bull Transilvania Univ Brasov I Eng Sci"},{"key":"ref22","first-page":"621","article-title":"Towards playing full MOBA games with deep reinforcement learning","author":"ye","year":"2020","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/nature24270"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2955724"},{"key":"ref27","first-page":"2758","article-title":"Deep learning based channel codes for point-to-point communication channels","author":"jiang","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref29","first-page":"2329","article-title":"Hyper-graph-network decoders for block codes","author":"nachmani","year":"2019","journal-title":"Proc Adv Neural Inf Process Syst"}],"container-title":["IEEE Transactions on Communications"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/26\/10286985\/10185577-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/26\/10286985\/10185577.pdf?arnumber=10185577","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,6]],"date-time":"2023-11-06T19:18:14Z","timestamp":1699298294000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10185577\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10]]},"references-count":49,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tcomm.2023.3296621","relation":{},"ISSN":["0090-6778","1558-0857"],"issn-type":[{"value":"0090-6778","type":"print"},{"value":"1558-0857","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10]]}}}