{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T12:03:58Z","timestamp":1771329838267,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,5,30]],"date-time":"2021-05-30T00:00:00Z","timestamp":1622332800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"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\/icra48506.2021.9561029","type":"proceedings-article","created":{"date-parts":[[2021,10,20]],"date-time":"2021-10-20T00:28:35Z","timestamp":1634689715000},"page":"4086-4092","source":"Crossref","is-referenced-by-count":17,"title":["Learning Sequences of Manipulation Primitives for Robotic Assembly"],"prefix":"10.1109","author":[{"given":"Nghia","family":"Vuong","sequence":"first","affiliation":[]},{"given":"Hung","family":"Pham","sequence":"additional","affiliation":[]},{"given":"Quang-Cuong","family":"Pham","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","article-title":"Sim2real transfer for reinforcement learning without dynamics randomization","author":"kaspar","year":"2020","journal-title":"arXiv preprint arXiv 2002 10381"},{"key":"ref11","article-title":"Metareinforcement learning for robotic industrial insertion tasks","author":"schoettler","year":"2020","journal-title":"arXiv preprint arXiv 2004 14408"},{"key":"ref12","first-page":"5331","article-title":"Efficient offpolicy meta-reinforcement learning via probabilistic context variables","author":"rakelly","year":"2019","journal-title":"International Conference on Machine Learning"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/app10196923"},{"key":"ref14","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref15","article-title":"Proximal policy optimization algorithms","author":"schulman","year":"2017","journal-title":"arXiv preprint arXiv 1707 06347"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2012.6386109"},{"key":"ref17","article-title":"Openai gym","author":"brockman","year":"2016","journal-title":"arXiv preprint arXiv 1606 01540"},{"key":"ref18","article-title":"rlpyt: A research code base for deep reinforcement learning in pytorch","author":"stooke","year":"2019","journal-title":"arXiv preprint arXiv 1909 01771"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022140919877"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793542"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202244"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793506"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197327"},{"key":"ref8","article-title":"Deep reinforcement learning for industrial insertion tasks with visual inputs and natural rewards","author":"schoettler","year":"2019","journal-title":"arXiv preprint arXiv 1906 03008"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACC.2005.1469949"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487162"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794127"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1126\/scirobotics.aat6385"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2975725"}],"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\/09561029.pdf?arnumber=9561029","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:47:11Z","timestamp":1652197631000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9561029\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,30]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/icra48506.2021.9561029","relation":{},"subject":[],"published":{"date-parts":[[2021,5,30]]}}}