{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T19:59:05Z","timestamp":1764014345416,"version":"3.45.0"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"12","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"National Key Research and Development Program of China","award":["2024YFB4709100"],"award-info":[{"award-number":["2024YFB4709100"]}]},{"DOI":"10.13039\/501100005090","name":"Beijing Nova Program","doi-asserted-by":"publisher","award":["20220484070","20220484056","20240484498"],"award-info":[{"award-number":["20220484070","20220484056","20240484498"]}],"id":[{"id":"10.13039\/501100005090","id-type":"DOI","asserted-by":"publisher"}]},{"name":"State Key Laboratory of Intelligent Green Vehicle and Mobility","award":["KFZ2410"],"award-info":[{"award-number":["KFZ2410"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Robot. Autom. Lett."],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1109\/lra.2025.3625508","type":"journal-article","created":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T18:06:17Z","timestamp":1761588377000},"page":"12907-12914","source":"Crossref","is-referenced-by-count":0,"title":["FAGR: Feature-Action Generative Replay for Robot Lifelong Imitation Learning"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-9651-2370","authenticated-orcid":false,"given":"Yushi","family":"Yang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5208-4670","authenticated-orcid":false,"given":"Xiangli","family":"Nie","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7686-2510","authenticated-orcid":false,"given":"Chang","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Advanced Manufacturing and Robotics, Peking University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3167736"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3386451"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2021.3140055"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2008.10.024"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1177\/02783649241273668"},{"key":"ref6","first-page":"158","article-title":"Implicit behavioral cloning","volume-title":"Proc. Conf. Robot Learn.","author":"Florence","year":"2022"},{"key":"ref7","first-page":"44776","article-title":"Libero: Benchmarking knowledge transfer for lifelong robot learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"Liu","year":"2024"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2019.12.004"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/S1364-6613(99)01294-2"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636069"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA57147.2024.10611129"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA55743.2025.11128857"},{"article-title":"Polytask: Learning unified policies through behavior distillation","year":"2023","author":"Haldar","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3146589"},{"key":"ref16","first-page":"892","article-title":"R3M: A universal visual representation for robot manipulation","volume-title":"Proc. Conf. Robot Learn.","volume":"2023","author":"Nair","year":"2023"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3367329"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.587"},{"key":"ref19","first-page":"2990","article-title":"Continual learning with deep generative replay","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Shin","year":"2017"},{"key":"ref20","article-title":"Stable continual reinforcement learning via diffusion-based trajectory replay","author":"Chen","year":"2024","journal-title":"arXiv:2411.10809"},{"key":"ref21","first-page":"2134","article-title":"Embodied lifelong learning for task and motion planning","volume-title":"Proc. Conf. Robot Learn.","author":"Mendez-Mendez","year":"2023"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00810"},{"key":"ref23","first-page":"3762","article-title":"Orthogonal gradient descent for continual learning","volume-title":"Proc. 23rd Int. Conf. Artif. Intell. Statist.","author":"Farajtabar","year":"2020"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00940"},{"key":"ref25","first-page":"16481","article-title":"GAN memory with no forgetting","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Cong","year":"2020"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_5"},{"key":"ref27","first-page":"4565","article-title":"Generative adversarial imitation learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"29","author":"Ho","year":"2016"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10857"},{"key":"ref29","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Ho","year":"2020"},{"key":"ref30","article-title":"Denoising diffusion implicit models","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Song","year":"2021"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/S0047-259X(03)00096-4"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1810.04805"}],"container-title":["IEEE Robotics and Automation Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7083369\/11215960\/11217160.pdf?arnumber=11217160","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T19:02:22Z","timestamp":1764010942000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11217160\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":32,"journal-issue":{"issue":"12"},"URL":"https:\/\/doi.org\/10.1109\/lra.2025.3625508","relation":{},"ISSN":["2377-3766","2377-3774"],"issn-type":[{"type":"electronic","value":"2377-3766"},{"type":"electronic","value":"2377-3774"}],"subject":[],"published":{"date-parts":[[2025,12]]}}}