{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T05:05:31Z","timestamp":1749531931356,"version":"3.37.3"},"reference-count":21,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,1]],"date-time":"2024-05-01T00:00:00Z","timestamp":1714521600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Institute of New Media and Communications"},{"DOI":"10.13039\/501100019211","name":"Institute of Engineering Research, Seoul National University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100019211","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Automation and Systems at Seoul National University"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1109\/lra.2024.3375714","type":"journal-article","created":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T18:21:57Z","timestamp":1710181317000},"page":"4043-4050","source":"Crossref","is-referenced-by-count":2,"title":["Self-Supervised Curriculum Generation for Autonomous Reinforcement Learning Without Task-Specific Knowledge"],"prefix":"10.1109","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-3360-4758","authenticated-orcid":false,"given":"Sang-Hyun","family":"Lee","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4890-8563","authenticated-orcid":false,"given":"Seung-Woo","family":"Seo","sequence":"additional","affiliation":[{"name":"Department of Electrical and Computer Engineering, Seoul National University, Seoul, South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"issue":"1","key":"ref1","first-page":"1334","article-title":"End-to-end training of deep visuomotor policies","volume":"17","author":"Levine","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202141"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919887447"},{"key":"ref4","first-page":"557","article-title":"Scaling up multi-task robotic reinforcement learning","volume-title":"Proc. Conf. Robot Learn.","author":"Kalashnikov","year":"2022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1177\/0278364917710318"},{"key":"ref6","first-page":"1101","article-title":"Deep dynamics models for learning dexterous manipulation","volume-title":"Proc. Conf. Robot Learn.","author":"Nagabandi","year":"2020"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8794102"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2020.2988642"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2020.XVI.053"},{"key":"ref10","first-page":"1799","article-title":"Leave no trace: Learning to reset for safe and autonomous reinforcement learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Eysenbach","year":"2018"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3173039"},{"key":"ref12","first-page":"18474","article-title":"Autonomous reinforcement learning via subgoal curricula","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Sharma","year":"2021"},{"key":"ref13","article-title":"Autonomous reinforcement learning: Formalism and benchmarking","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Sharma","year":"2022"},{"key":"ref14","first-page":"4999","article-title":"Continual learning of control primitives: Skill discovery via reset-games","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Xu","year":"2020"},{"key":"ref15","first-page":"10896","article-title":"The ingredients of real-world robotic reinforcement learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhu","year":"2020"},{"key":"ref16","article-title":"Continuous control with deep reinforcement learning","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Lillicrap","year":"2016"},{"key":"ref17","first-page":"1928","article-title":"Asynchronous methods for deep reinforcement learning","volume-title":"Proc. 33rd Int. Conf. Mach. Learn.","author":"Mnih","year":"2016"},{"key":"ref18","first-page":"1861","article-title":"Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor","volume-title":"Proc. 35th Int. Conf. Mach. Learn.","author":"Haarnoja","year":"2018"},{"key":"ref19","first-page":"4003","article-title":"Exploration by random network distillation","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Burda","year":"2019"},{"article-title":"D4RL: Datasets for deep data-driven reinforcement learning","year":"2020","author":"Fu","key":"ref20"},{"key":"ref21","first-page":"1300","article-title":"Robel: Robotics benchmarks for learning with low-cost robots","volume-title":"Proc. Conf. Robot Learn.","author":"Ahn","year":"2020"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7083369\/10474437\/10465617.pdf?arnumber=10465617","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,26]],"date-time":"2024-03-26T21:03:23Z","timestamp":1711487003000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10465617\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":21,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/lra.2024.3375714","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"type":"electronic","value":"2377-3766"},{"type":"electronic","value":"2377-3774"}],"subject":[],"published":{"date-parts":[[2024,5]]}}}