{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T15:29:38Z","timestamp":1774538978665,"version":"3.50.1"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,6,5]],"date-time":"2022-06-05T00:00:00Z","timestamp":1654387200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,5]],"date-time":"2022-06-05T00:00:00Z","timestamp":1654387200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,5]]},"DOI":"10.1109\/iv51971.2022.9827279","type":"proceedings-article","created":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T19:33:28Z","timestamp":1658259208000},"page":"1466-1472","source":"Crossref","is-referenced-by-count":11,"title":["Model-Based Reinforcement Learning for Advanced Adaptive Cruise Control: A Hybrid Car Following Policy"],"prefix":"10.1109","author":[{"given":"Ugur","family":"Yavas","sequence":"first","affiliation":[{"name":"Eatron Technologies,Istanbul,Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tufan","family":"Kumbasar","sequence":"additional","affiliation":[{"name":"Istanbul Technical University,Control and Automation Engineering Department,Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naztm Kemal","family":"Ure","sequence":"additional","affiliation":[{"name":"Istanbul Technical University,Artificial Intelligence and Data Science Research Center,Department of Aeronautical Engineering,Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8916781"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/en14227572"},{"key":"ref12","article-title":"Formulation and validation of a car-following model based on deep reinforcement learning","author":"hart","year":"2021"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2018.10.024"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2001.948767"},{"key":"ref15","article-title":"Model-based reinforcement learning: A survey","author":"moerland","year":"2021"},{"key":"ref16","article-title":"Dream to control: Learning behaviors by latent imagination","author":"hafner","year":"2020"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811650"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2930489"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1201\/9781439821091"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.62.1805"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/1541931213601966"},{"key":"ref27","article-title":"Sim-to-real transfer in deep reinforcement learning for robotics: a survey 2020","author":"zhao","year":"0","journal-title":"arXiv 2009 13303"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2020.3012947"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2015.2462843"},{"key":"ref8","article-title":"Continuous control with deep reinforcement learning","author":"lillicrap","year":"2019"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IVS.2019.8813905"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2012.12.043"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jsr.2017.08.008"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2020.102662"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-141-3.50030-4"},{"key":"ref22","article-title":"Model-based reinforcement learning via meta-policy optimization","author":"clavera","year":"2018"},{"key":"ref21","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"finn","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IV47402.2020.9304594"},{"key":"ref23","article-title":"Rllib: Abstractions for distributed reinforcement learning","author":"liang","year":"2018"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1201\/9781420070248.ch11"},{"key":"ref25","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4614-1433-9","volume":"2012","author":"rajamani","year":"2012","journal-title":"Vehicle Dynamics and Control Mechanical Engineering Series"}],"event":{"name":"2022 IEEE Intelligent Vehicles Symposium (IV)","location":"Aachen, Germany","start":{"date-parts":[[2022,6,4]]},"end":{"date-parts":[[2022,6,9]]}},"container-title":["2022 IEEE Intelligent Vehicles Symposium (IV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9826996\/9826997\/09827279.pdf?arnumber=9827279","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,8]],"date-time":"2022-08-08T20:04:14Z","timestamp":1659989054000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9827279\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,5]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/iv51971.2022.9827279","relation":{},"subject":[],"published":{"date-parts":[[2022,6,5]]}}}