{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T01:55:35Z","timestamp":1782870935057,"version":"3.54.5"},"reference-count":18,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Plan","award":["2017YFB1303200"],"award-info":[{"award-number":["2017YFB1303200"]}]},{"name":"Anhui Science and Technology Major Project","award":["17030901034"],"award-info":[{"award-number":["17030901034"]}]},{"name":"Key Research and Development Plan of Jiangsu Province","award":["BE2017007-1"],"award-info":[{"award-number":["BE2017007-1"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1109\/lra.2020.3007408","type":"journal-article","created":{"date-parts":[[2020,7,7]],"date-time":"2020-07-07T20:01:35Z","timestamp":1594152095000},"page":"5385-5392","source":"Crossref","is-referenced-by-count":38,"title":["A Multi-Channel Reinforcement Learning Framework for Robotic Mirror Therapy"],"prefix":"10.1109","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9517-1042","authenticated-orcid":false,"given":"Jiajun","family":"Xu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6951-5633","authenticated-orcid":false,"given":"Linsen","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5227-1326","authenticated-orcid":false,"given":"Youfu","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Gaoxin","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jia","family":"Shi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0097-3529","authenticated-orcid":false,"given":"Jinfu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shouqi","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2018.2821197"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.282"},{"key":"ref13","first-page":"4278","article-title":"Inception-v4, Inception-ResNet and the impact of residual connections on learning","author":"szegedy","year":"0","journal-title":"Proc Thirty-First AAAI Conf Artif Intell"},{"key":"ref14","first-page":"20","article-title":"Relative entropy inverse reinforcement learning","author":"boularias","year":"2011","journal-title":"Proc Artif Intell Statist"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2937000"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICMA.2019.8816358"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICInfA.2018.8812419"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/86.242425"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2015.2412554"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487509"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2930434"},{"key":"ref5","first-page":"2829","article-title":"Continuous deep Q-learning with model-based acceleration","volume":"48","author":"gu","year":"0","journal-title":"Proc Mach Learn Res Int Conf Mach Learn"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2019.2896269"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cta.2017.1253"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.conengprac.2017.07.002"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2016.2551725"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2007.907689"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/9133350\/09134883.pdf?arnumber=9134883","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T17:33:57Z","timestamp":1651080837000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9134883\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":18,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/lra.2020.3007408","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"value":"2377-3766","type":"electronic"},{"value":"2377-3774","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,10]]}}}