{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T14:31:37Z","timestamp":1774621897181,"version":"3.50.1"},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":["62473376"],"award-info":[{"award-number":["62473376"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/lsp.2024.3493797","type":"journal-article","created":{"date-parts":[[2024,11,7]],"date-time":"2024-11-07T20:04:43Z","timestamp":1731009883000},"page":"3114-3118","source":"Crossref","is-referenced-by-count":7,"title":["Enhanced Radar Anti-Jamming With Multi-Agent Reinforcement Learning"],"prefix":"10.1109","volume":"31","author":[{"given":"Wenshen","family":"Peng","sequence":"first","affiliation":[{"name":"Rocket Force University of Engineering, Xi&#x0027;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1314-2377","authenticated-orcid":false,"given":"Chuan","family":"He","sequence":"additional","affiliation":[{"name":"Rocket Force University of Engineering, Xi&#x0027;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4060-2244","authenticated-orcid":false,"given":"Fei","family":"Cao","sequence":"additional","affiliation":[{"name":"Rocket Force University of Engineering, Xi&#x0027;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1545-9100","authenticated-orcid":false,"given":"Changhua","family":"Hu","sequence":"additional","affiliation":[{"name":"Rocket Force University of Engineering, Xi&#x0027;an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3354-9617","authenticated-orcid":false,"given":"Licheng","family":"Jiao","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Xidian University, Xi&#x0027;an, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSPCC55723.2022.9984459"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CSCWD57460.2023.10152833"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IBCAST51254.2021.9393209"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/RADAR54928.2023.10371114"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/s22010145"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/RADAR54928.2023.10371123"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2023.108965"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3049653"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1049\/rsn2.12416"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2020.3029430"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2021.108130"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2024.3382041"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8497.1965.tb00439.x"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2022.3175186"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3212966"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e30697"},{"key":"ref17","article-title":"Deep reinforcement learning from self-play in imperfect-information games","author":"Heinrich","year":"2016"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2023.103952"},{"key":"ref19","first-page":"2961","article-title":"Actor-attention-critic for multi-agent reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Iqbal"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3170308"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/rs15164046"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2024.3443154"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3118648"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10380231\/10747115.pdf?arnumber=10747115","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T18:23:21Z","timestamp":1732731801000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10747115\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/lsp.2024.3493797","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}