{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,21]],"date-time":"2026-01-21T10:58:28Z","timestamp":1768993108665,"version":"3.49.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000183","name":"Army Research Office","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000183","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956121","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T19:34:13Z","timestamp":1669750453000},"page":"3736-3742","source":"Crossref","is-referenced-by-count":2,"title":["Learning to Drive Using Sparse Imitation Reinforcement Learning"],"prefix":"10.1109","author":[{"given":"Yuci","family":"Han","sequence":"first","affiliation":[{"name":"The Ohio State University,Photogrammetric Computer Vision Lab,Columbus,OH,43210"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alper","family":"Yilmaz","sequence":"additional","affiliation":[{"name":"The Ohio State University,Photogrammetric Computer Vision Lab,Columbus,OH,43210"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/nn1560"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3758\/CABN.8.4.429"},{"key":"ref12","article-title":"Learning by cheating","author":"chen","year":"2019","journal-title":"Conference on Robot Learning (CoRL)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01550"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.5194\/isprs-annals-V-1-2021-145-2021"},{"key":"ref15","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","volume":"48","author":"mnih","year":"2016","journal-title":"Proceedings of the 33rd International Conference on Machine Learning"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01494"},{"key":"ref17","first-page":"604","author":"liang","year":"2018","journal-title":"CIRL Controllable Imitative Reinforcement Learning for Vision-Based Self-driving 15th European Conference"},{"key":"ref18","first-page":"1","article-title":"CARLA: An open urban driving simulator","author":"dosovitskiy","year":"2017","journal-title":"Proceedings of the 1st Annual Conference on Robot Learning"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01131"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460487"},{"key":"ref6","article-title":"No-regret reductions for imitation learning and structured prediction","author":"ross","year":"2010","journal-title":"CoRR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01178"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01530"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00718"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00700"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00942"},{"key":"ref9","article-title":"Bayesian controller fusion: Leveraging control priors in deep reinforcement learning for robotics","author":"rana","year":"2021"},{"key":"ref20","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","author":"haarnoja","year":"2018","journal-title":"ICML"},{"key":"ref22","article-title":"Accelerating reinforcement learning with learned skill priors","author":"pertsch","year":"2020","journal-title":"Conference on Robot Learning (CoRL)"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794127"},{"key":"ref24","article-title":"Sam: Squeeze-and-mimic networks for conditional visual driving policy learning","author":"zhao","year":"2020","journal-title":"Conference on Robot Learning (CoRL)"},{"key":"ref23","article-title":"Conditional affordance learning for driving in urban environments","author":"sauer","year":"2018","journal-title":"Conference on Robot Learning (CoRL)"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","location":"Montreal, QC, Canada","start":{"date-parts":[[2022,8,21]]},"end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956121.pdf?arnumber=9956121","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:05:49Z","timestamp":1671480349000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956121\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956121","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}