{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,21]],"date-time":"2025-05-21T04:04:04Z","timestamp":1747800244412,"version":"3.41.0"},"reference-count":44,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,6,1]],"date-time":"2025-06-01T00:00:00Z","timestamp":1748736000000},"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":["NSFC 92370203","62233002"],"award-info":[{"award-number":["NSFC 92370203","62233002"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key R&D Program of China","award":["2022YFC2603600"],"award-info":[{"award-number":["2022YFC2603600"]}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["2024CX06027"],"award-info":[{"award-number":["2024CX06027"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2025,6]]},"DOI":"10.1109\/lra.2025.3566591","type":"journal-article","created":{"date-parts":[[2025,5,2]],"date-time":"2025-05-02T17:17:59Z","timestamp":1746206279000},"page":"6448-6455","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Safety in Autonomous Racing With Constrained Reinforcement Learning"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-1128-3491","authenticated-orcid":false,"given":"Kai","family":"Yu","sequence":"first","affiliation":[{"name":"School of Automation, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5520-7127","authenticated-orcid":false,"given":"Mengyin","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Automation, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Automation, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3964-2433","authenticated-orcid":false,"given":"Yi","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Automation, Beijing Institute of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/OJITS.2022.3181510"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/00423114.2019.1704804"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3407413"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10161472"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3064284"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-04357-7"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3295252"},{"key":"ref8","article-title":"Provably safe reinforcement learning: Conceptual analysis, survey, and benchmarking","author":"Krasowski","year":"2023","journal-title":"Trans. Mach. Learn. Res."},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC55140.2022.9921907"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2023.3238656"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2023.10.005"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogr.2023.04.002"},{"key":"ref13","first-page":"22","article-title":"Constrained policy optimization","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Achiam","year":"2017"},{"article-title":"Benchmarking safe exploration in deep reinforcement learning","year":"2019","author":"Ray","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3457538"},{"issue":"1","key":"ref16","first-page":"1437","article-title":"A comprehensive survey on safe reinforcement learning","volume":"16","author":"Garcia","year":"2015","journal-title":"J. Mach. Learn. Res."},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/tiv.2023.3344226"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160698"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3152313"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3271642"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC45102.2020.9294259"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2022.103656"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1080\/00423114.2019.1631455"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2019.104270"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3169986"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2018.8500623"},{"article-title":"Adaptive lookahead pure-pursuit for autonomous racing","year":"2021","author":"Sukhil","key":"ref27"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919880273"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.mlwa.2023.100496"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811650"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3097345"},{"key":"ref32","first-page":"3100","article-title":"FastRLAP: A system for learning high-speed driving via deep RL and autonomous practicing","volume-title":"Proc. 7th Conf. Robot Learn.","author":"Stachowicz","year":"2023"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3192770"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.55417\/fr.2023020"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2019.2948135"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10611285"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/tnn.1998.712192"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1201\/9781315140223"},{"key":"ref39","first-page":"1889","article-title":"Trust region policy optimization","volume-title":"Proc. 32nd Int. Conf. Mach. Learn.","author":"Schulman","year":"2015"},{"article-title":"Proximal policy optimization algorithms","year":"2017","author":"Schulman","key":"ref40"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11797"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.4271\/920582"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2012.2211312"},{"key":"ref44","article-title":"F1TENTH: An open-source evaluation environment for continuous control and reinforcement learning","volume-title":"Proc. Mach. Learn. Res.","volume":"123","author":"O\u2019Kelly","year":"2020"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7083369\/10969146\/10982032.pdf?arnumber=10982032","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,20]],"date-time":"2025-05-20T09:16:42Z","timestamp":1747732602000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10982032\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,6]]},"references-count":44,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/lra.2025.3566591","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"type":"electronic","value":"2377-3766"},{"type":"electronic","value":"2377-3774"}],"subject":[],"published":{"date-parts":[[2025,6]]}}}