{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T08:29:36Z","timestamp":1781512176705,"version":"3.54.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,6,1]],"date-time":"2021-06-01T00:00:00Z","timestamp":1622505600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000038","name":"Natural Sciences and Engineering Research Council of Canada","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000038","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Toyota Technical Center"},{"name":"Ontario Centers of Excellence"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Veh."],"published-print":{"date-parts":[[2021,6]]},"DOI":"10.1109\/tiv.2020.3012947","type":"journal-article","created":{"date-parts":[[2020,7,29]],"date-time":"2020-07-29T21:30:50Z","timestamp":1596058250000},"page":"221-231","source":"Crossref","is-referenced-by-count":204,"title":["Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control"],"prefix":"10.1109","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2365-3613","authenticated-orcid":false,"given":"Yuan","family":"Lin","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3908-9519","authenticated-orcid":false,"given":"John","family":"McPhee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1412-7961","authenticated-orcid":false,"given":"Nasser L.","family":"Azad","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"22","article-title":"Constrained policy optimization","volume":"70","author":"achiam","year":"0","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref38","article-title":"How to discount deep reinforcement learning: Towards new dynamic strategies","author":"fran\u00e7ois-lavet","year":"2015","journal-title":"arXiv 1512 02011"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2010.2049203"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1631\/jzus.A0900374"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.10.024"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-013-1110-y"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3182\/20140824-6-ZA-1003.02042"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8813905"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2011.6082981"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/MITS.2017.2709781"},{"key":"ref28","article-title":"Driving in dense traffic with model-free reinforcement learning","author":"saxena","year":"2019","journal-title":"arXiv 1909 06710"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.2514\/1.G004106"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2011.2157145"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/nature16961"},{"key":"ref1","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1115\/DETC2013-13489"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2017.2658193"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.4271\/2011-01-0873"},{"key":"ref24","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","volume":"70","author":"finn","year":"0","journal-title":"Proc 34th Int Conf Mach Learn"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793561"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2008.2007630"},{"key":"ref25","article-title":"Plan online, learn offline: Efficient learning and exploration via model-based control","author":"lowrey","year":"2018","journal-title":"arXiv 1811 01848"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2019.2913768"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2017.8264220"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2462843"},{"key":"ref40","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015","journal-title":"arXiv 1502 03167"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-30281-8_20"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/BF00992698"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8916781"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2872654"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.2019.8814758"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917192"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2938726"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-85729-085-4"},{"key":"ref4","first-page":"1889","article-title":"Trust region policy optimization","author":"schulman","year":"0","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref3","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":"ref6","article-title":"Continuous control with deep reinforcement learning","author":"lillicrap","year":"2015","journal-title":"arXiv 1509 02971"},{"key":"ref5","article-title":"Proximal policy optimization algorithms","author":"schulman","year":"0","journal-title":"arXiv 1707 06347"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-01094-1_32"},{"key":"ref7","article-title":"Deep reinforcement learning that matters","author":"henderson","year":"0","journal-title":"Proc 32nd AAAI Conf Artif Intell"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8463189"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.23919\/ACC.2018.8431482"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1145\/3302509.3313784"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2012.2202230"},{"key":"ref48","article-title":"Data-efficient reinforcement learning with probabilistic model predictive control","author":"kamthe","year":"2017","journal-title":"arXiv 1706 06491"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989202"},{"key":"ref42","first-page":"4287","article-title":"Learning values across many orders of magnitude","author":"hasselt","year":"0","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569977"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2012.2204877"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s12532-018-0139-4"}],"container-title":["IEEE Transactions on Intelligent Vehicles"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7274857\/9440031\/09152161.pdf?arnumber=9152161","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:54:18Z","timestamp":1652194458000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9152161\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,6]]},"references-count":50,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/tiv.2020.3012947","relation":{},"ISSN":["2379-8904","2379-8858"],"issn-type":[{"value":"2379-8904","type":"electronic"},{"value":"2379-8858","type":"print"}],"subject":[],"published":{"date-parts":[[2021,6]]}}}