{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T12:02:19Z","timestamp":1771329739478,"version":"3.50.1"},"reference-count":54,"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":["62101350"],"award-info":[{"award-number":["62101350"]}],"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":["62201429"],"award-info":[{"award-number":["62201429"]}],"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":["62192714"],"award-info":[{"award-number":["62192714"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013313","name":"Fund for Foreign Scholars in University Research and Teaching Programs","doi-asserted-by":"publisher","award":["B18039"],"award-info":[{"award-number":["B18039"]}],"id":[{"id":"10.13039\/501100013313","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Radar Signal Processing Laboratory","award":["KGJ202X0X"],"award-info":[{"award-number":["KGJ202X0X"]}]},{"DOI":"10.13039\/501100018594","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["QTZX22160"],"award-info":[{"award-number":["QTZX22160"]}],"id":[{"id":"10.13039\/501100018594","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100018594","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["XJSJ23133"],"award-info":[{"award-number":["XJSJ23133"]}],"id":[{"id":"10.13039\/501100018594","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tsp.2024.3443121","type":"journal-article","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T17:45:43Z","timestamp":1723571143000},"page":"4098-4114","source":"Crossref","is-referenced-by-count":14,"title":["Sensing Jamming Strategy From Limited Observations: An Imitation Learning Perspective"],"prefix":"10.1109","volume":"72","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-7342-8122","authenticated-orcid":false,"given":"Youlin","family":"Fan","sequence":"first","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5064-5702","authenticated-orcid":false,"given":"Bo","family":"Jiu","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3923-056X","authenticated-orcid":false,"given":"Wenqiang","family":"Pu","sequence":"additional","affiliation":[{"name":"Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0449-002X","authenticated-orcid":false,"given":"Ziniu","family":"Li","sequence":"additional","affiliation":[{"name":"Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4045-3456","authenticated-orcid":false,"given":"Kang","family":"Li","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4046-163X","authenticated-orcid":false,"given":"Hongwei","family":"Liu","sequence":"additional","affiliation":[{"name":"National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an, China"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Introduction to Modern EW Systems","author":"De Martino","year":"2018"},{"key":"ref2","volume-title":"Cognitive Electronic Warfare: An Artificial Intelligence Approach","author":"Haigh","year":"2021"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICET58434.2023.10211362"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2022.3203689"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/RADAR41533.2019.171227"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3197425"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.3390\/rs14040968"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2021.108130"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1049\/SBRA020E"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2954499"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2019.2929968"},{"key":"ref12","volume-title":"Electronic Warfare Test and Evaluation (Essai et \u00e9valuation en mati\u00e8re de guerre \u00e9lectronique)","author":"Welch","year":"2012"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CIE-Radar.2011.6159736"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2021.3068443"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.sigpro.2022.108596"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2519005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2620115"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2012.6489237"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/MAES.2016.150044"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LAWP.2014.2339224"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1049\/iet-rsn.2019.0500"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2743240"},{"key":"ref23","volume-title":"EW 104: Electronic Warfare Against a New Generation of Threats","author":"Adamy","year":"2015"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2022.3175186"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2019.1911825"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2017.2676018"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.13140\/RG.2.2.18893.74727"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2016.2566610"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/SAM53842.2022.9827883"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2627788.2627798"},{"key":"ref31","volume-title":"Introduction to Electronic Defense Systems","author":"Neri","year":"2018"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/MAES.2016.150193"},{"key":"ref33","volume-title":"Probabilistic Machine Learning: An introduction","author":"Murphy","year":"2022"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/tnn.1998.712192"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2014.2307282"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2003.815395"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2012.2189389"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2755591"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2016.150699"},{"key":"ref40","first-page":"1889","article-title":"Trust region policy optimization","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","volume":"37","author":"Schulman","year":"2015"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780198538677.003.0006"},{"key":"ref42","first-page":"4572","article-title":"Generative adversarial imitation learning","volume-title":"Proc. Adv. Neural Inf. Process. (NeurIPS)","volume":"29","author":"Ho","year":"2016"},{"key":"ref43","first-page":"661","article-title":"Efficient reductions for imitation learning","volume-title":"Proc. 13th Int. Conf. Artif. Intell. Stat. (AISTATS)","volume":"9","author":"Ross","year":"2010"},{"key":"ref44","first-page":"12498","article-title":"When to trust your model: Model-based policy optimization","volume-title":"Proc. Adv. Neural Inf. Process. (NeurIPS)","volume":"32","author":"Janner","year":"2019"},{"key":"ref45","article-title":"Algorithmic framework for model-based deep reinforcement learning with theoretical guarantees","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Luo","year":"2019"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3096966"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2021.3088501"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1049\/cp.2017.0536"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.2008.2005455"},{"key":"ref50","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2013.120040"},{"key":"ref52","article-title":"Understanding deep learning requires rethinking generalization","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Zhang","year":"2017"},{"issue":"3","key":"ref53","first-page":"1592","article-title":"Accelerating deep learning using gpus","volume":"8","author":"Narayanam","year":"2021","journal-title":"Int. Res. J. Eng. Technol."},{"key":"ref54","article-title":"DD-PPO: Learning near-perfect pointgoal navigators from 2.5 billion frames","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Wijmans","year":"2019"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/78\/10347386\/10634527.pdf?arnumber=10634527","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,26]],"date-time":"2024-09-26T06:07:18Z","timestamp":1727330838000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10634527\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":54,"URL":"https:\/\/doi.org\/10.1109\/tsp.2024.3443121","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}