{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,6]],"date-time":"2026-02-06T03:37:22Z","timestamp":1770349042619,"version":"3.49.0"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"McCamish Parkinson's Disease Innovation Program"},{"name":"Georgia Tech and Emory University"},{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","award":["N00014-19-1-2076"],"award-info":[{"award-number":["N00014-19-1-2076"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSF Accessibility, Rehabilitation and Movement Science Fellowship","award":["1545287"],"award-info":[{"award-number":["1545287"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2022,10]]},"DOI":"10.1109\/lra.2022.3193497","type":"journal-article","created":{"date-parts":[[2022,7,25]],"date-time":"2022-07-25T19:50:46Z","timestamp":1658778646000},"page":"10713-10720","source":"Crossref","is-referenced-by-count":16,"title":["Meta-Active Learning in Probabilistically Safe Optimization"],"prefix":"10.1109","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6277-4720","authenticated-orcid":false,"given":"Mariah","family":"Schrum","sequence":"first","affiliation":[{"name":"Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3485-9812","authenticated-orcid":false,"given":"Mark J","family":"Connolly","sequence":"additional","affiliation":[{"name":"Department of Bioengineering, Emory University, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eric","family":"Cole","sequence":"additional","affiliation":[{"name":"Department of Bioengineering, Emory University, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mihir","family":"Ghetiya","sequence":"additional","affiliation":[{"name":"Department of Bioengineering, Emory University, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robert","family":"Gross","sequence":"additional","affiliation":[{"name":"Department of Bioengineering, Emory University, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5321-6038","authenticated-orcid":false,"given":"Matthew C.","family":"Gombolay","sequence":"additional","affiliation":[{"name":"Institute for Robotics and Intelligent Machines, Georgia Institute of Technology, Atlanta, GA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2018.8512801"},{"key":"ref2","first-page":"301","article-title":"Learning algorithms for active learning","volume-title":"Proc. Mach. Learn. Res.","author":"Bachman","year":"2016"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.5772\/intechopen.71487"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3057046"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2011.2161160"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-77226-2_22"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2542184"},{"key":"ref8","article-title":"Learning to adapt : Meta-learning for model-based control","author":"Clavera","year":"2009","journal-title":"arXiv:1803.11347"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793660"},{"key":"ref10","first-page":"9537","article-title":"Probabilistic model-agnostic meta-learning","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","author":"Finn","year":"2018"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.4236\/jdaip.2016.44014"},{"key":"ref12","first-page":"5976","article-title":"Deep active learning with a neural architecture search","volume-title":"Proc. Conf. Neural Inf. Process. Syst.","author":"Geifman","year":"2018"},{"key":"ref13","author":"Griva","year":"2009","journal-title":"Soc. for Ind. Math."},{"key":"ref14","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1023\/A:1009688513124","article-title":"Active learning with local models 1 introduction","volume":"7","author":"Hasenjager","year":"1998","journal-title":"Neural Process. Lett."},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-84858-7_7"},{"key":"ref16","first-page":"1","article-title":"Learning active learning from data","volume-title":"Proc. Conf. Neural Inf. process. Syst.","author":"Konyushkova","year":"2017"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1992.4.4.590"},{"key":"ref18","first-page":"1162","article-title":"Active domain randomization","volume-title":"Proc. Conf. Robot Learn.","author":"Mehta","year":"2020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3044033"},{"key":"ref20","article-title":"In-Flight Separation of Vertical Stabilizer American Airlines Flight 587, Airbus Industrie A300-605R, N14053","year":"2001"},{"key":"ref21","article-title":"In-flight Separation of Right Wing Flying Boat, Inc. (doing business as Chalks Ocean Airways) light 101 Grumman Turbo Mallard (G-73 T), N2969","year":"2005"},{"key":"ref22","article-title":"Converting POMPDs into MDPs using history representation","author":"Nguyen","year":"2021"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-015-9467-7"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CDC.2008.4739221"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1613\/jair.3893"},{"key":"ref26","article-title":"Flight dynamics and maneuver loads on a commercial aircraft with discrete source damage","author":"Ouellette","year":"2010"},{"key":"ref27","first-page":"1","article-title":"Meta-learning transferable active learning policies by deep reinforcement learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Pang","year":"2018"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3472291"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2961598"},{"key":"ref30","article-title":"Safe exploration for optimization with gaussian processes","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sui","year":"2015"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.2514\/6.2021-4023"},{"key":"ref32","article-title":"Safe exploration in finite Markov decision processes with Gaussian processes","volume-title":"Adv. Neural Inf. Process. Syst.","author":"Turchetta","year":"2016"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"ref34","article-title":"Meta-learning acquisition functions for transfer learning in Bayesian optimization","author":"Volpp","year":"2019","journal-title":"arXiv:1904.02642"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460471"},{"key":"ref36","first-page":"3","article-title":"Flight dynamics of an unmanned aerial vehicle","volume-title":"Flight Dyn.","author":"Watkiss","year":"1994"},{"key":"ref37","first-page":"2136","article-title":"Active learning from imperfect labelers","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Yan","year":"2016"},{"key":"ref38","first-page":"703","article-title":"Active learning from weak and strong labelers","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhang","year":"2015"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.2514\/1.G002866"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2893494"},{"key":"ref41","first-page":"2730","article-title":"Safe active learning for time-series modeling with Gaussian processes","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zimmer","year":"2018"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/7083369\/9831196\/9839414-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9831196\/09839414.pdf?arnumber=9839414","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T09:27:50Z","timestamp":1706779670000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9839414\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10]]},"references-count":41,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/lra.2022.3193497","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10]]}}}