{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T07:22:29Z","timestamp":1781335349020,"version":"3.54.1"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,3,7]],"date-time":"2022-03-07T00:00:00Z","timestamp":1646611200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,3,7]],"date-time":"2022-03-07T00:00:00Z","timestamp":1646611200000},"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":[[2022,3,7]]},"DOI":"10.1109\/hri53351.2022.9889616","type":"proceedings-article","created":{"date-parts":[[2022,9,29]],"date-time":"2022-09-29T15:46:56Z","timestamp":1664466416000},"page":"157-165","source":"Crossref","is-referenced-by-count":21,"title":["MIND MELD: Personalized Meta-Learning for Robot-Centric Imitation Learning"],"prefix":"10.1109","author":[{"given":"Mariah L.","family":"Schrum","sequence":"first","affiliation":[{"name":"Georgia Institute of Technology,Atlanta,United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Erin","family":"Hedlund-Botti","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology,Atlanta,United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nina","family":"Moorman","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology,Atlanta,United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthew C.","family":"Gombolay","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology,Atlanta,United States"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","author":"sena","year":"2020","journal-title":"Quantifying teaching behavior in robot learning from demonstration"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3371382.3380739"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2013.6630809"},{"key":"ref32","first-page":"627","article-title":"No-regret reductions for imitation learning and structured prediction","volume":"15","author":"ross","year":"2011","journal-title":"AISTATS"},{"key":"ref31","first-page":"661","article-title":"Efficient reductions for imitation learning","volume":"9","author":"ross","year":"2010","journal-title":"Journal of Machine Learning Research"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.5898\/JHRI.1.1.Riek"},{"key":"ref37","author":"schrum","year":"2021","journal-title":"Improving Robot-Centric Learning from Demonstration via Personalized Embed-dings"},{"key":"ref36","article-title":"Learning from demonstration","volume":"9","author":"schaal","year":"1997","journal-title":"Advances in neural information processing systems"},{"key":"ref35","article-title":"Automatically Constructing Control Systems by Observing Human Behaviour","author":"sammut","year":"1992","journal-title":"Second International Inductive Logic Programming Workshop"},{"key":"ref34","author":"salvador","year":"2004","journal-title":"FastDTW Toward Accurate Dynamic Time Warping in Linear Time and Space"},{"key":"ref10","first-page":"2180","article-title":"InfoGAN: Interpretable representation learning by information maximizing generative adversarial nets","author":"chen","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref40","author":"shah","year":"2017","journal-title":"Airsim High-fidelity visual and physical simulation for autonomous vehicles"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-01570-0"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1613\/jair.2584"},{"key":"ref13","first-page":"91","article-title":"An intro-duction to survival statistics: Kaplan-meier analysis","volume":"7","author":"dudley","year":"2016","journal-title":"journal of the advanced practitioner in oncology"},{"key":"ref14","author":"finn","year":"2017","journal-title":"Model-agnostic meta-learning for fast adaptation of deep networks"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/S0166-4115(08)62386-9"},{"key":"ref16","first-page":"1","article-title":"Imitation Learning by Coaching","author":"he","year":"2012","journal-title":"Conference on Neural Information Processing Systems"},{"key":"ref17","author":"jamal","year":"0","journal-title":"Task Agnostic Meta-Learning for Few-Shot Learning"},{"key":"ref18","first-page":"1","author":"jena","year":"2020","journal-title":"Augmenting gail with bc for sample efficient imitation learning"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1207\/S15327566IJCE0401_04"},{"key":"ref28","author":"paleja","year":"2019","journal-title":"Inferring personalized bayesian embeddings for learning from heterogeneous demonstration"},{"key":"ref4","author":"berggren","year":"2019","journal-title":"Performance evaluation of imitation learning algorithms with human experts"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1609\/aiide.v14i1.13032","article-title":"A User Study on Learning from Human Demonstration","author":"packard","year":"2018","journal-title":"AIIDE"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s12369-008-0001-3"},{"key":"ref6","author":"brown","year":"2019","journal-title":"Extrapolating beyond suboptimal demonstrations via inverse reinforce-ment learning from observations"},{"key":"ref29","volume":"3","author":"ravichandar","year":"2020","journal-title":"Recent Advances in Robot Learning from Demonstration"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/DEVLRN.2008.4640845"},{"key":"ref8","author":"camacho","year":"1997","journal-title":"Model Predictive Control in the Process Industry"},{"key":"ref7","author":"brown","year":"2019","journal-title":"Better-than-demonstrator imitation learning via automatically-ranked demonstrations"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2008.10.024"},{"key":"ref9","article-title":"Learning from suboptimal demonstration via self-supervised reward regression","author":"chen","year":"2020","journal-title":"CoRL"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v35i4.2513"},{"key":"ref20","author":"karaman","year":"2010","journal-title":"Incremental Sampling-based Algorithms for Optimal Motion Planning"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2017.7989046"},{"key":"ref21","first-page":"8077","article-title":"HG-D Agger: Interactive imitation learning with human experts","author":"kelly","year":"2019","journal-title":"Proceedings-IEEE International Conference on Robotics and Automation"},{"key":"ref42","author":"spencer","year":"2020","journal-title":"Learning from Interventions Human-robot interaction as both explicit and implicit feedback"},{"key":"ref24","article-title":"Torwards Unpaired Human-to-Robot Demonstration Translation Learning Novel Tasks","author":"liu","year":"2021","journal-title":"ICSR Workshop Human Robot Interaction for Space Robotics (HRI-SR)"},{"key":"ref41","author":"snider","year":"2009","journal-title":"Automatic Steering Methods for Autonomous Automobile Path Tracking"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487167"},{"key":"ref26","first-page":"1","volume":"7","author":"osa","year":"2018","journal-title":"An Algorithmic Perspective on Imitation Learning"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968287"}],"event":{"name":"2022 17th ACM\/IEEE International Conference on Human-Robot Interaction (HRI)","location":"Sapporo, Japan","start":{"date-parts":[[2022,3,7]]},"end":{"date-parts":[[2022,3,10]]}},"container-title":["2022 17th ACM\/IEEE International Conference on Human-Robot Interaction (HRI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9889327\/9889305\/09889616.pdf?arnumber=9889616","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,20]],"date-time":"2023-02-20T23:01:09Z","timestamp":1676934069000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9889616\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,7]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/hri53351.2022.9889616","relation":{},"subject":[],"published":{"date-parts":[[2022,3,7]]}}}