{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T04:39:53Z","timestamp":1773376793812,"version":"3.50.1"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"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":[[2021,5,30]]},"DOI":"10.1109\/icra48506.2021.9561746","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"3648-3654","source":"Crossref","is-referenced-by-count":14,"title":["Ergodic imitation: Learning from what to do and what not to do"],"prefix":"10.1109","author":[{"given":"Aleksandra","family":"Kalinowska","sequence":"first","affiliation":[{"name":"Northwestern University,Mechanical Engineering,Evanston,IL"}]},{"given":"Ahalya","family":"Prabhakar","sequence":"additional","affiliation":[{"name":"Northwestern University,Mechanical Engineering,Evanston,IL"}]},{"given":"Kathleen","family":"Fitzsimons","sequence":"additional","affiliation":[{"name":"Northwestern University,Mechanical Engineering,Evanston,IL"}]},{"given":"Todd","family":"Murphey","sequence":"additional","affiliation":[{"name":"Northwestern University,Mechanical Engineering,Evanston,IL"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1177\/0278364920933654"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2018.XIV.046"},{"key":"ref33","first-page":"239","article-title":"Imitation learning from observations by minimizing inverse dynamics disagreement","author":"yang","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref32","article-title":"Reinforcement learning from demonstration through shaping","author":"brys","year":"2015","journal-title":"Int Joint Conf on Artificial Intelligence"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/687"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.aav6079"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2014.6907335"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ROMAN.2017.8172424"},{"key":"ref35","article-title":"Learning reward functions from diverse sources of human feedback: Optimally integrating demonstrations and preferences","author":"b?y?k","year":"2020"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2019.XV.023"},{"key":"ref10","first-page":"247","article-title":"Learning from demonstration with model-based gaussian process","author":"jaquier","year":"2020","journal-title":"Conference on Robot Learning (CoRL)"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2017.XIII.053"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968522"},{"key":"ref12","first-page":"1177","article-title":"Asking easy questions: A user-friendly approach to active reward learning","author":"b?y?k","year":"2019","journal-title":"Conference on Robot Learning (CoRL)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3171221.3171284"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2020.XVI.055"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/3849309"},{"key":"ref16","article-title":"Imitation learning from imperfect demonstration","author":"wu","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v35i4.2513"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TAMD.2010.2051030"},{"key":"ref19","article-title":"Inverse reinforcement learning from failure","author":"shiarlis","year":"2016"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.physd.2009.05.003"},{"key":"ref4","first-page":"19","article-title":"Nonlinear inverse reinforcement learning with gaussian processes","author":"levine","year":"2011","journal-title":"Advances in neural information processing systems"},{"key":"ref27","article-title":"An ergodic measure for active learning from equilibrium","author":"abraham","year":"2020","journal-title":"Transactions on Automation Science and Engineering"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2017.2766265"},{"key":"ref6","first-page":"2616","article-title":"Probabilistic movement primitives","author":"paraschos","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1137\/12086916X"},{"key":"ref5","first-page":"4565","article-title":"Generative adversarial imitation learning","author":"ho","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11370-015-0187-9"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2020.XVI.056"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015430"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2010.5650949"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1162\/NECO_a_00393"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2017.2679202"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s12369-012-0161-z"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2011.5979757"},{"key":"ref42","article-title":"Learning robot skills through motion segmentation and constraints extraction","author":"pais","year":"2013","journal-title":"HRI Workshop on Collaborative Manipulation"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917745980"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989546"},{"key":"ref23","article-title":"Model-based inverse reinforcement learning from visual demonstrations","author":"das","year":"2020"},{"key":"ref26","first-page":"7112","article-title":"On the correctness and sample complexity of inverse reinforcement learning","author":"komanduru","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386006"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.physd.2010.10.010"}],"event":{"name":"2021 IEEE International Conference on Robotics and Automation (ICRA)","location":"Xi'an, China","start":{"date-parts":[[2021,5,30]]},"end":{"date-parts":[[2021,6,5]]}},"container-title":["2021 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9560720\/9560666\/09561746.pdf?arnumber=9561746","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,2]],"date-time":"2022-08-02T23:22:13Z","timestamp":1659482533000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9561746\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9561746","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}