{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T17:46:29Z","timestamp":1772905589356,"version":"3.50.1"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"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":[[2023,5,29]]},"DOI":"10.1109\/icra48891.2023.10160449","type":"proceedings-article","created":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T17:20:56Z","timestamp":1688491256000},"page":"1544-1550","source":"Crossref","is-referenced-by-count":32,"title":["DriveIRL: Drive in Real Life with Inverse Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Tung","family":"Phan-Minh","sequence":"first","affiliation":[{"name":"Motional AD Inc."}]},{"given":"Forbes","family":"Howington","sequence":"additional","affiliation":[{"name":"Motional AD Inc."}]},{"given":"Ting-Sheng","family":"Chu","sequence":"additional","affiliation":[{"name":"Motional AD Inc."}]},{"given":"Momchil S.","family":"Tomov","sequence":"additional","affiliation":[{"name":"Motional AD Inc."}]},{"given":"Robert E.","family":"Beaudoin","sequence":"additional","affiliation":[{"name":"Motional AD Inc."}]},{"given":"Sang Uk","family":"Lee","sequence":"additional","affiliation":[{"name":"Motional AD Inc."}]},{"given":"Nanxiang","family":"Li","sequence":"additional","affiliation":[{"name":"Motional AD Inc."}]},{"given":"Caglayan","family":"Dicle","sequence":"additional","affiliation":[{"name":"Motional AD Inc."}]},{"given":"Samuel","family":"Findler","sequence":"additional","affiliation":[{"name":"Motional AD Inc."}]},{"given":"Francisco","family":"Suarez-Ruiz","sequence":"additional","affiliation":[{"name":"Motional AD Inc."}]},{"given":"Bo","family":"Yang","sequence":"additional","affiliation":[{"name":"Motional AD Inc."}]},{"given":"Sammy","family":"Omari","sequence":"additional","affiliation":[{"name":"Motional AD Inc."}]},{"given":"Eric M.","family":"Wolff","sequence":"additional","affiliation":[{"name":"Motional AD Inc."}]}],"member":"263","reference":[{"key":"ref13","author":"bojarski","year":"2016","journal-title":"End to End Learning for Self-Driving Cars"},{"key":"ref12","article-title":"Alvinn: An autonomous land vehicle in a neural network","volume":"1","author":"pomerleau","year":"1988","journal-title":"Advances in neural information processing systems"},{"key":"ref15","author":"scheel","year":"2021","journal-title":"Urban driver Learning to drive from real-world demonstrations using policy gradients"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2019.XV.031"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00607"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511546877"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2016.2578706"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00252"},{"key":"ref1","article-title":"nuScenes: A multimodal dataset for autonomous driving","author":"caesar","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref17","author":"vitelli","year":"2021","journal-title":"Safetynet Safe planning for real-world self-driving vehicles using machine-learned policies"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00886"},{"key":"ref19","first-page":"66","article-title":"Learning by cheating","author":"chen","year":"2020","journal-title":"Conference on Robot Learning"},{"key":"ref18","first-page":"1","article-title":"Carla: An open urban driving simulator","author":"dosovitskiy","year":"2017","journal-title":"Conference on Robot Learning"},{"key":"ref24","first-page":"1433","article-title":"Maximum entropy inverse reinforcement learning","volume":"8","author":"ziebart","year":"2008","journal-title":"AAAI"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015430"},{"key":"ref26","first-page":"1","article-title":"Driving behavior modeling using naturalistic human driving data with inverse reinforcement learning","author":"huang","year":"2021","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"ref25","article-title":"Maximum entropy deep inverse reinforcement learning","author":"wulfmeier","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01530"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793742"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/FBIT.2007.37"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.62.1805"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref29","article-title":"nuplan: A closed-loop ml-based planning benchmark for autonomous vehicles","author":"caesar","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref8","article-title":"MultiPath: Multiple probabilistic anchor trajectory hypotheses for behavior prediction","author":"chai","year":"2019","journal-title":"3rd Conference on Robot Learning (CoRL)"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793868"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01408"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2012.6248074"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00895"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01298"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00472"}],"event":{"name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","location":"London, United Kingdom","start":{"date-parts":[[2023,5,29]]},"end":{"date-parts":[[2023,6,2]]}},"container-title":["2023 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10160211\/10160212\/10160449.pdf?arnumber=10160449","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T17:34:17Z","timestamp":1690220057000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10160449\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,29]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/icra48891.2023.10160449","relation":{},"subject":[],"published":{"date-parts":[[2023,5,29]]}}}