{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T19:30:21Z","timestamp":1777491021434,"version":"3.51.4"},"reference-count":39,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100008256","name":"Hyundai Motor Group, Korea Institute of Police Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100008256","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100008256","name":"Korean Government [Korea National Police Agency (KNPA)]","doi-asserted-by":"publisher","award":["092021C26S03000"],"award-info":[{"award-number":["092021C26S03000"]}],"id":[{"id":"10.13039\/100008256","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Artificial Intelligence (AI)-based Autonomous Driving Computing Module Development and Service Demonstration Program"},{"DOI":"10.13039\/100008256","name":"Ministry of Trade, Industry, and Energy of Korea","doi-asserted-by":"publisher","award":["20005673"],"award-info":[{"award-number":["20005673"]}],"id":[{"id":"10.13039\/100008256","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Brain Korea 21 (BK21) Program through the National Research Foundation of Korea"},{"DOI":"10.13039\/100010002","name":"Ministry of Education","doi-asserted-by":"publisher","award":["5199990814084"],"award-info":[{"award-number":["5199990814084"]}],"id":[{"id":"10.13039\/100010002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3159785","type":"journal-article","created":{"date-parts":[[2022,3,16]],"date-time":"2022-03-16T19:38:47Z","timestamp":1647459527000},"page":"31043-31057","source":"Crossref","is-referenced-by-count":12,"title":["Deep Reinforcement Learning Based Dynamic Proportional-Integral (PI) Gain Auto-Tuning Method for a Robot Driver System"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2605-9919","authenticated-orcid":false,"given":"Joonghoo","family":"Park","sequence":"first","affiliation":[{"name":"Graduate School of Automotive Engineering, Kookmin University, Seongbuk-gu, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heejung","family":"Kim","sequence":"additional","affiliation":[{"name":"Graduate School of Automotive Engineering, Kookmin University, Seongbuk-gu, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyunghun","family":"Hwang","sequence":"additional","affiliation":[{"name":"Electrification Energy Efficiency &#x0026; Drivability Team 3, Hyundai Motor Company, Hwaseong, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1917-699X","authenticated-orcid":false,"given":"Sejoon","family":"Lim","sequence":"additional","affiliation":[{"name":"Department of Automobile and IT Convergence, Kookmin University, Seongbuk-gu, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1","article-title":"Development of a robotic driver for vehicle dynamometer testing","volume-title":"Proc. Australas. Conf. Robot. Automat.","author":"Namik"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2011.6160896"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1243\/095440702760178587"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139665"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/electronics10121444"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2020.02.017"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1002\/rnc.5662"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"ref9","first-page":"1995","article-title":"Dueling network architectures for deep reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wang"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.4271\/741007"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.1992.254378"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.5772\/53750"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/cjce.5450830412"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1021\/i200032a041"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1002\/aic.690440112"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1021\/ie010756m"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/S0959-1524(02)00062-8"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1177\/0020294019866841"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IntelliSys.2017.8324240"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/S0959-1524(03)00039-8"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/int.20061"},{"issue":"1","key":"ref22","first-page":"82","article-title":"Neuro-PID control of speed and torque of electric vehicle","volume":"3","author":"Sakai","year":"2010","journal-title":"Int. J. Adv. Syst. Meas."},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.isatra.2011.06.005"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3301273"},{"key":"ref25","article-title":"Playing atari with deep reinforcement learning","author":"Mnih","year":"2013","journal-title":"arXiv:1312.5602"},{"issue":"3","key":"ref26","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1007\/BF00992698","article-title":"Q-learning","volume":"8","author":"Watkins","year":"1992","journal-title":"Mach. Learn."},{"key":"ref27","first-page":"257","article-title":"Adaptive PID controller based on reinforcement learning for wind turbine control","volume-title":"Proc. World Acad. Science, Eng. Technol.","volume":"27","author":"Sedighizadeh"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.1983.6313077"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2015.05.013"},{"key":"ref30","article-title":"Continuous control with deep reinforcement learning","author":"Lillicrap","year":"2015","journal-title":"arXiv:1509.02971"},{"key":"ref31","first-page":"1889","article-title":"Trust region policy optimization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Schulman"},{"key":"ref32","article-title":"Proximal policy optimization algorithms","author":"Schulman","year":"2017","journal-title":"arXiv:1707.06347"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917306"},{"key":"ref34","article-title":"End-to-end deep reinforcement learning for lane keeping assist","author":"El Sallab","year":"2016","journal-title":"arXiv:1612.04340"},{"key":"ref35","article-title":"Urban driving with multi-objective deep reinforcement learning","author":"Li","year":"2018","journal-title":"arXiv:1811.08586"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2019.8917387"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2017.2712561"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.4271\/j2951_201111"},{"key":"ref39","volume-title":"CR 1151, 2017. Commission Regulation, 2017. No. 2017\/1151 of 1 June 2017 Supplementing Regulation (EC) No 715\/2007 of the European Parliament and of the Council on Type Approval of Motor Vehicles With Respect to Emissions From Light Passenger and Commercial Vehicles (Euro 5 and Euro 6) and on Access to Vehicle Repair and Maintenance Information, Amending Directive 2007\/46\/EC of the European Parliament and of the Council, Commission Regulation (EC) No 692\/2008 and Commission Regulation (EU) No 1230\/2012 and Repealing Commission Regulation (EC)","year":"2017"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09737020.pdf?arnumber=9737020","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T00:02:28Z","timestamp":1705536148000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9737020\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3159785","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}