{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T23:04:00Z","timestamp":1780009440615,"version":"3.53.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/100031839","name":"Korea Research Institute for Defense Technology Planning and Advancement","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100031839","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003626","name":"Defense Acquisition Program Administration","doi-asserted-by":"crossref","award":["KRIT-CT-23-020"],"award-info":[{"award-number":["KRIT-CT-23-020"]}],"id":[{"id":"10.13039\/501100003626","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/access.2026.3693794","type":"journal-article","created":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T19:54:34Z","timestamp":1778874874000},"page":"75209-75221","source":"Crossref","is-referenced-by-count":0,"title":["UAV Urban Reconnaissance Planning With Empirical Entropy-Flow Maximization by Using Double Deep Q-Network"],"prefix":"10.1109","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3687-2989","authenticated-orcid":false,"given":"Changha","family":"Lee","sequence":"first","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-6765-0152","authenticated-orcid":false,"given":"Thi Quynh Anh","family":"MAI","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-3943-5397","authenticated-orcid":false,"given":"Gyusang","family":"Cho","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3970-7308","authenticated-orcid":false,"given":"Chan-Hyun","family":"Youn","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, South Korea"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MGRS.2021.3122248"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1515\/9783110892871"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/5.959342"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2745201"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2024.127904"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-020-09903-2"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/2.30720"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3596711.3596726"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3515454"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58568-6_12"},{"key":"ref11","article-title":"Semantic scene completion from a single depth image","author":"Song","year":"2016","journal-title":"arXiv:1611.08974"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00459"},{"key":"ref13","first-page":"225","article-title":"The traveling salesman problem","volume-title":"Handbooks in Operations Research and Management Science","volume":"7","author":"J\u00fcnger","year":"1995"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2019.10.014"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/WCICA.2014.7053093"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.3390\/drones3010004"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11590-012-0553-x"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/drones7120692"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10070853"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref21","article-title":"Deep reinforcement learning with double q-learning","volume-title":"Proc. AAAI Conf. Artif. Intell.","volume":"30","author":"Van Hasselt"},{"key":"ref22","volume-title":"Reinforcement Learning: An Introduction","author":"Sutton","year":"2018"},{"issue":"2","key":"ref23","first-page":"423","article-title":"Reinforcement learning: An introduction. By richard\u2019s sutton","volume":"6","author":"Barto","year":"2021","journal-title":"SIAM Rev."},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2924143"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1002\/SERIES1345"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27645-3_12"},{"issue":"3","key":"ref27","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1007\/s10514-012-9321-0","article-title":"OctoMap: An efficient probabilistic 3D mapping framework based on octrees","volume":"34","author":"Hornung","year":"2013","journal-title":"Auto. Robots"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487527"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-017-9634-0"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/34.232073"},{"key":"ref31","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017","journal-title":"arXiv:1707.06347"},{"key":"ref32","first-page":"13734","article-title":"Stochastic Q-learning for large discrete action spaces","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Fourati"},{"key":"ref33","first-page":"46816","article-title":"SimBa: Simplicity bias for scaling up parameters in deep reinforcement learning","volume-title":"Proc. 13th Int. Conf. Learn. Represent.","volume":"2025","author":"Lee"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IRDS.2002.1041446"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICARCV.2018.8581245"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-1273-0_32"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/237170.237269"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67361-5_40"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/11323511\/11520789.pdf?arnumber=11520789","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,28]],"date-time":"2026-05-28T22:39:38Z","timestamp":1780007978000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11520789\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/access.2026.3693794","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}