{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,4]],"date-time":"2026-02-04T18:04:25Z","timestamp":1770228265000,"version":"3.49.0"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T00:00:00Z","timestamp":1746057600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key R&D Program of China","award":["2022YFB2502901"],"award-info":[{"award-number":["2022YFB2502901"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Veh."],"published-print":{"date-parts":[[2025,5]]},"DOI":"10.1109\/tiv.2024.3446823","type":"journal-article","created":{"date-parts":[[2024,8,21]],"date-time":"2024-08-21T19:42:40Z","timestamp":1724269360000},"page":"3103-3112","source":"Crossref","is-referenced-by-count":3,"title":["Smooth Filtering Neural Network for Reinforcement Learning"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0193-816X","authenticated-orcid":false,"given":"Wenxuan","family":"Wang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Intelligent Green Vehicle and Mobility, School of Vehicle and Mobility, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3697-1576","authenticated-orcid":false,"given":"Jingliang","family":"Duan","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9155-3035","authenticated-orcid":false,"given":"Xujie","family":"Song","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Intelligent Green Vehicle and Mobility, School of Vehicle and Mobility, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4566-1103","authenticated-orcid":false,"given":"Liming","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8442-3205","authenticated-orcid":false,"given":"Liangfa","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinuo","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Intelligent Green Vehicle and Mobility, School of Vehicle and Mobility, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1753-2922","authenticated-orcid":false,"given":"Bo","family":"Cheng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Intelligent Green Vehicle and Mobility, School of Vehicle and Mobility, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4923-3633","authenticated-orcid":false,"given":"Shengbo Eben","family":"Li","sequence":"additional","affiliation":[{"name":"School of Vehicle and Mobility & College of AI, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-19-7784-8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2009.932261"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2023.3275732"},{"issue":"7540","key":"ref4","doi-asserted-by":"crossref","first-page":"529","DOI":"10.1038\/nature14236","article-title":"Human-level control through deep reinforcement learning","volume":"518","author":"Mnih","year":"2015","journal-title":"Nature"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.13140\/RG.2.2.18893.74727"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2002.1014237"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2743240"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2024.3364428"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2016.7508798"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3255264"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3348134"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2319577"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/DDCLS49620.2020.9275205"},{"key":"ref14","first-page":"32253","article-title":"LipsNet: A smooth and robust neural network with adaptive Lipschitz constant for high accuracy optimal control","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Song","year":"2023"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561138"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3192800"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3466618"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3301273"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2022.3163816"},{"key":"ref20","article-title":"A closer look at deep policy gradients","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Ilyas","year":"2020"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/IROS47612.2022.9981812"},{"key":"ref22","first-page":"8707","article-title":"Deep reinforcement learning with robust and smooth policy","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Shen","year":"2020"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2022.100409"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3528233.3530713"},{"key":"ref25","first-page":"3303","article-title":"Data-efficient hierarchical reinforcement learning","volume-title":"Proc. 32nd Conf. Neural Inf. Process. Syst.","author":"Nachum","year":"2018"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16864"},{"key":"ref27","first-page":"29021","article-title":"TAAC: Temporally abstract actor-critic for continuous control","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Yu","year":"2021"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1162\/neco_a_01199"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.10.013"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-020-00237-3"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1002\/int.22466"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.commtr.2023.100096"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3082568"},{"key":"ref34","article-title":"Continuous control with deep reinforcement learning","volume-title":"Proc. 4th Int. Conf. Learn. Representations","author":"Lillicrap","year":"2016"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.12794\/metadc1505267"},{"key":"ref36","first-page":"1861","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Haarnoja","year":"2018"}],"container-title":["IEEE Transactions on Intelligent Vehicles"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7274857\/11151628\/10643291.pdf?arnumber=10643291","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,5]],"date-time":"2025-09-05T18:26:03Z","timestamp":1757096763000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10643291\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5]]},"references-count":36,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tiv.2024.3446823","relation":{},"ISSN":["2379-8904","2379-8858"],"issn-type":[{"value":"2379-8904","type":"electronic"},{"value":"2379-8858","type":"print"}],"subject":[],"published":{"date-parts":[[2025,5]]}}}