{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T02:48:34Z","timestamp":1743475714307,"version":"3.37.3"},"reference-count":47,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/OAPA.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772380"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Foundation for Innovative Research Groups of Hubei Province","award":["2017CFA007"]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2018]]},"DOI":"10.1109\/access.2018.2872751","type":"journal-article","created":{"date-parts":[[2018,9,28]],"date-time":"2018-09-28T20:36:50Z","timestamp":1538167010000},"page":"57814-57825","source":"Crossref","is-referenced-by-count":20,"title":["UGV Navigation Optimization Aided by Reinforcement Learning-Based Path Tracking"],"prefix":"10.1109","volume":"6","author":[{"given":"Minggao","family":"Wei","sequence":"first","affiliation":[]},{"given":"Song","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Jinfan","family":"Zheng","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7055-141X","authenticated-orcid":false,"given":"Dan","family":"Chen","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2016.2517155"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2494007"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.05.012"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.07.023"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1177\/0278364914528132"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1177\/0278364913488805"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143845"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-012-1243-4"},{"key":"ref35","first-page":"162","article-title":"Path tracking control of non-holonomic car-like robot with reinforcement learning","author":"baltes","year":"1999","journal-title":"Robot Soccer World Cup"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.01.067"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2001.934374"},{"key":"ref40","first-page":"5","article-title":"Iterative dynamics with temporal coherence","volume":"2","author":"catto","year":"2005","journal-title":"Proc Game Developers Conf"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1993.291936"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1177\/0278364902021012002"},{"key":"ref13","first-page":"835","article-title":"A convex optimization approach to smooth trajectories for motion planning with car-like robots","author":"zhu","year":"2015","journal-title":"Proc IEEE Conf Decis Control (CDC)"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2006.872536"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2009.2020077"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.2009.5152217"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/rob.21587"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref19","volume":"1","author":"sutton","year":"1998","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref28","first-page":"1329","article-title":"Benchmarking deep reinforcement learning for continuous control","author":"duan","year":"2016","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ISVD.2007.43"},{"journal-title":"Learning to navigate in complex environments","year":"2016","author":"mirowski","key":"ref27"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/359156.359164"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1991.131810"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3099564.3099567"},{"key":"ref5","first-page":"163","author":"spong","year":"2006","journal-title":"Robot Modeling and Control"},{"key":"ref8","first-page":"4350","article-title":"A knowledge based genetic algorithm for path planning of a mobile robot","volume":"5","author":"hu","year":"2004","journal-title":"Proc IEEE Int Conf Robot Automat (ICRA)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1989.100007"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2004.1389835"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-012-9328-0"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-32552-1"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-60916-4_19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.312"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907444"},{"key":"ref22","first-page":"387","article-title":"Deterministic policy gradient algorithms","author":"silver","year":"2014","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6225074"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1177\/0278364907087426"},{"journal-title":"Continuous control with deep reinforcement learning","year":"2015","author":"lillicrap","key":"ref42"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989385"},{"key":"ref41","first-page":"16","article-title":"Modeling and solving constraints","author":"catto","year":"2009","journal-title":"Proc Game Developers Conf"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2017.91"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.03.035"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202134"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"journal-title":"Overcoming exploration in reinforcement learning with demonstrations","year":"2017","author":"nair","key":"ref25"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8274985\/08476521.pdf?arnumber=8476521","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,26]],"date-time":"2022-01-26T21:25:48Z","timestamp":1643232348000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8476521\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/access.2018.2872751","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2018]]}}}