{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T21:36:28Z","timestamp":1773437788990,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3305453","type":"journal-article","created":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T17:40:47Z","timestamp":1692121247000},"page":"87732-87746","source":"Crossref","is-referenced-by-count":5,"title":["Generative Adversarial Inverse Reinforcement Learning With Deep Deterministic Policy Gradient"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-1717-6013","authenticated-orcid":false,"given":"Ming","family":"Zhan","sequence":"first","affiliation":[{"name":"School of Electrical and Control Engineering, North China University of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3203-311X","authenticated-orcid":false,"given":"Jingjing","family":"Fan","sequence":"additional","affiliation":[{"name":"Intelligent Transportation Key Laboratory, North China University of Technology, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianying","family":"Guo","sequence":"additional","affiliation":[{"name":"Tianjin Vocational Institute, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-27645-3"},{"key":"ref2","first-page":"663","article-title":"Algorithms for inverse reinforcement learning","volume-title":"Proc. 17th Int. Conf. Mach. Learn.","author":"Ng"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917722396"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2019.01.003"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3146635"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/lra.2020.3005126"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/icra.2015.7139555"},{"key":"ref8","article-title":"Driving behavior modeling using naturalistic human driving data with inverse reinforcement learning","author":"Huang","year":"2020","journal-title":"arXiv:2010.03118"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/msp.2020.2988287"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2022.3193220"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/4752651"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58592-1_25"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/icra.2013.6630592"},{"key":"ref14","article-title":"Inverse risk-sensitive reinforcement learning","author":"Ratliff","year":"2017","journal-title":"arXiv:1703.09842"},{"key":"ref15","first-page":"1060","article-title":"Inverse reinforcement learning from failure","volume-title":"Proc. Adapt. Agents Multi-Agents Syst. Int. Found. Auton. Agents Multiagent Syst.","author":"Shiarlis"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2021.3062856"},{"issue":"22","key":"ref17","first-page":"119","article-title":"Maximum entropy inverse reinforcement learning based on generative adversarial networks","volume":"55","author":"Jianping","year":"2019","journal-title":"Comput. Eng. Appl."},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/tmtt.2020.3015495"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794389"},{"key":"ref21","first-page":"1","article-title":"Generative adversarial imitation learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Ho"},{"key":"ref22","article-title":"Learning robust rewards with adversarial inverse reinforcement learning","author":"Fu","year":"2017","journal-title":"arXiv:1710.11248"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-021-06083-7"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1080\/01691864.2020.1778521"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2021.103091"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2022.3179332"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/lra.2021.3061397"},{"key":"ref28","article-title":"Continuous control with deep reinforcement learning","author":"Lillicrap","year":"2015","journal-title":"arXiv:1509.02971"},{"key":"ref29","article-title":"Playing Atari with deep reinforcement learning","author":"Mnih","year":"2013","journal-title":"arXiv:1312.5602"},{"key":"ref30","first-page":"387","article-title":"Deterministic policy gradient algorithms","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Silver"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2946659"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/access.2019.2952411"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/606"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.07.100"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/iceic54506.2022.9748273"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/tbdata.2020.3039810"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/tits.2021.3119073"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/iccsn52437.2021.9463652"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/icra46639.2022.9811697"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/tac.2017.2775960"},{"key":"ref41","article-title":"NuScenes: A multimodal dataset for autonomous driving","author":"Caesar","year":"2019","journal-title":"arXiv:1903.11027"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/icra46639.2022.9812269"},{"key":"ref43","article-title":"Decision making for autonomous driving via augmented adversarial inverse reinforcement learning","author":"Wang","year":"2019","journal-title":"arXiv:1911.08044"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10217826.pdf?arnumber=10217826","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T04:18:39Z","timestamp":1710389919000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10217826\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3305453","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}