{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T00:11:05Z","timestamp":1773101465487,"version":"3.50.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62263005"],"award-info":[{"award-number":["62263005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62473140"],"award-info":[{"award-number":["62473140"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of Guangxi Province","award":["2020GXNSFDA238029"],"award-info":[{"award-number":["2020GXNSFDA238029"]}]},{"name":"Guangxi Key Laboratory of Automatic Detecting Technology and Instruments","award":["YQ24102"],"award-info":[{"award-number":["YQ24102"]}]},{"name":"Guangxi Young and Middle-Aged College Teachers’ Basic Scientific Research Capacity Enhancement Project","award":["2024KY0222"],"award-info":[{"award-number":["2024KY0222"]}]},{"name":"Guilin University of Electronic Technology Young Faculty Research Startup Project","award":["UF23006Y"],"award-info":[{"award-number":["UF23006Y"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Artif. Intell."],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1109\/tai.2025.3592648","type":"journal-article","created":{"date-parts":[[2025,7,25]],"date-time":"2025-07-25T17:59:26Z","timestamp":1753466366000},"page":"1168-1184","source":"Crossref","is-referenced-by-count":0,"title":["Learn Once Plan Arbitrarily (LOPA): Dynamic Observation-Based Deep Reinforcement Learning Method for Global Path Planning in Mountainous Terrain Environment"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0048-5670","authenticated-orcid":false,"given":"Shuqiao","family":"Huang","sequence":"first","affiliation":[{"name":"School of Electronic Engineering and Automation, Guilin University of Electronic Technology, and Guangxi Key Laboratory of Automatic Detecting Technology and Instruments (Guilin University of Electronic Technology), Guilin, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-1155-8698","authenticated-orcid":false,"given":"Mingxin","family":"Hou","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7280-7207","authenticated-orcid":false,"given":"Xiaofang","family":"Yuan","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5560-0028","authenticated-orcid":false,"given":"Xiru","family":"Wu","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering and Automation, Guilin University of Electronic Technology, and Guangxi Key Laboratory of Automatic Detecting Technology and Instruments (Guilin University of Electronic Technology), Guilin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0519-6458","authenticated-orcid":false,"given":"Yaonan","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Electrical and Information Engineering, Hunan University, Changsha, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1378-2892","authenticated-orcid":false,"given":"Guoming","family":"Huang","sequence":"additional","affiliation":[{"name":"School of Electronic Engineering and Automation, Guilin University of Electronic Technology, and Guangxi Key Laboratory of Automatic Detecting Technology and Instruments (Guilin University of Electronic Technology), Guilin, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3304977"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2024.3465601"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1016\/j.ins.2020.07.038","article-title":"An effective recommendation model based on deep representation learning","volume":"542","author":"Juan","year":"2021","journal-title":"Inf. Sci."},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3256563"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.05.006"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117389"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2022.3190901"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2020.3034800"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2023.3348140"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3477097"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.swevo.2021.101005"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122510"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.2998740"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3071319"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2023.110773"},{"issue":"2","key":"ref16","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1016\/j.cja.2020.05.011","article-title":"UAV navigation in high dynamic environments: A deep reinforcement learning approach","volume":"34","author":"Tong","year":"2021","journal-title":"Chin. J. Aeronaut."},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2019.1911732"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3133591"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2890773"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TCDS.2020.3039859"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/s20020426"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN52387.2021.9533570"},{"key":"ref23","article-title":"Learning to navigate in cities without a map","author":"Piotr","year":"2018"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3057485"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3240585"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3312453"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3077863"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.3390\/s20195493"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.3390\/electronics12183840"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6385821"},{"key":"ref31","article-title":"Dueling network architectures for deep reinforcement learning","author":"Ziyu","year":"2015"},{"key":"ref32","article-title":"Global path planning and multi-objective path control for unmanned surface vehicle based on modified particle swarm optimization (PSO) algorithm","volume":"216","author":"Xinghai","year":"2020","journal-title":"Ocean Eng."},{"key":"ref33","article-title":"Prioritized experience replay","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Tom","year":"2016"},{"key":"ref34","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn. (PMLR)","author":"Wang","year":"2016"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2874587"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.113425"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2023.104384"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968089"}],"container-title":["IEEE Transactions on Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/9078688\/11370309\/11096729.pdf?arnumber=11096729","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T20:57:53Z","timestamp":1770152273000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11096729\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":38,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tai.2025.3592648","relation":{},"ISSN":["2691-4581"],"issn-type":[{"value":"2691-4581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2]]}}}