{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T18:25:32Z","timestamp":1777487132234,"version":"3.51.4"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,5,29]],"date-time":"2023-05-29T00:00:00Z","timestamp":1685318400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51809246"],"award-info":[{"award-number":["51809246"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,5,29]]},"DOI":"10.1109\/icra48891.2023.10161298","type":"proceedings-article","created":{"date-parts":[[2023,7,4]],"date-time":"2023-07-04T17:20:56Z","timestamp":1688491256000},"page":"7212-7218","source":"Crossref","is-referenced-by-count":3,"title":["Sim-to-Real Policy and Reward Transfer with Adaptive Forward Dynamics Model"],"prefix":"10.1109","author":[{"given":"Rongshun","family":"Juan","sequence":"first","affiliation":[{"name":"College of Information Science and Engineering, Ocean University of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Ju","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Ocean University of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Huang","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Ocean University of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Randy","family":"Gomez","sequence":"additional","affiliation":[{"name":"Honda Research Institute Japan Co., Ltd,Wako,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keisuke","family":"Nakamura","sequence":"additional","affiliation":[{"name":"Honda Research Institute Japan Co., Ltd,Wako,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangliang","family":"Li","sequence":"additional","affiliation":[{"name":"College of Information Science and Engineering, Ocean University of China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460528"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341149"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/1538788.1538812"},{"key":"ref14","article-title":"Uncertainty-aware model-based reinforcement learning with application to autonomous driving","author":"wu","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref11","article-title":"An imitation from observation approach to transfer learning with dynamics mismatch","author":"desai","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref10","article-title":"Grounded action transformation for robot learning in simulation","author":"hanna","year":"0","journal-title":"Thirty-First AAAI Conference on Artificial Intelligence"},{"key":"ref2","article-title":"Learning complex dexterous manipulation with deep reinforcement learning and demonstrations","author":"rajeswaran","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref1","article-title":"Playing atari with deep reinforcement learning","author":"mnih","year":"2013","journal-title":"ArXiv Preprint"},{"key":"ref17","article-title":"Agnostic system identification for model-based reinforcement learning","author":"ross","year":"2012","journal-title":"ArXiv Preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2012.6225072"},{"key":"ref19","article-title":"Keypoints into the future: Self-supervised correspondence in model-based reinforcement learning","author":"manuelli","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197222"},{"key":"ref24","author":"sutton","year":"2018","journal-title":"Reinforcement Learning An Introduction"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8463189"},{"key":"ref26","article-title":"Progressive neural networks","author":"rusu","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1613\/jair.301"},{"key":"ref20","article-title":"Model-based versus model-free deep reinforcement learning for autonomous racing cars","author":"brunnbauer","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3057046"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3065271"},{"key":"ref27","article-title":"Openai gym","author":"brockman","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref8","first-page":"262","article-title":"Sim-to-real robot learning from pixels with progressive nets","author":"rusu","year":"2017","journal-title":"Conference on Robot Learning"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/IWQOS.2007.376547"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1007\/s10846-017-0468-y","article-title":"Survey of model-based reinforcement learning: Applications on robotics","volume":"86","author":"polydoros","year":"2017","journal-title":"Journal of Intelligent & Robotic Systems"},{"key":"ref4","article-title":"Transfer from simulation to real world through learning deep inverse dynamics model","author":"christiano","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref3","article-title":"Towards adapting deep visuomotor representations from simulated to real environments","volume":"2","author":"tzeng","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1177\/0278364919887447"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2017.8202133"}],"event":{"name":"2023 IEEE International Conference on Robotics and Automation (ICRA)","location":"London, United Kingdom","start":{"date-parts":[[2023,5,29]]},"end":{"date-parts":[[2023,6,2]]}},"container-title":["2023 IEEE International Conference on Robotics and Automation (ICRA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10160211\/10160212\/10161298.pdf?arnumber=10161298","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T17:38:08Z","timestamp":1690220288000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10161298\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,29]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/icra48891.2023.10161298","relation":{},"subject":[],"published":{"date-parts":[[2023,5,29]]}}}