{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,28]],"date-time":"2025-02-28T05:17:48Z","timestamp":1740719868943,"version":"3.38.0"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T00:00:00Z","timestamp":1734307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T00:00:00Z","timestamp":1734307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000781","name":"European Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000781","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,16]]},"DOI":"10.1109\/cdc56724.2024.10886314","type":"proceedings-article","created":{"date-parts":[[2025,2,26]],"date-time":"2025-02-26T18:43:32Z","timestamp":1740595412000},"page":"3390-3395","source":"Crossref","is-referenced-by-count":0,"title":["Online Residual Learning from Offline Experts for Pedestrian Tracking"],"prefix":"10.1109","author":[{"given":"Anastasios","family":"Vlachos","sequence":"first","affiliation":[{"name":"ETH Zürich,Automatic Control Laboratory,Department of Information Technology and Electrical Engineering,Zürich,Switzerland,8092"}]},{"given":"Anastasios","family":"Tsiamis","sequence":"additional","affiliation":[{"name":"ETH Zürich,Automatic Control Laboratory,Department of Information Technology and Electrical Engineering,Zürich,Switzerland,8092"}]},{"given":"Aren","family":"Karapetyan","sequence":"additional","affiliation":[{"name":"ETH Zürich,Automatic Control Laboratory,Department of Information Technology and Electrical Engineering,Zürich,Switzerland,8092"}]},{"given":"Efe C.","family":"Balta","sequence":"additional","affiliation":[{"name":"Control and Automation Group, inspire AG 8005 Zürich Switzerland and with the Automatic Control Laboratory"}]},{"given":"John","family":"Lygeros","sequence":"additional","affiliation":[{"name":"ETH Zürich,Automatic Control Laboratory,Department of Information Technology and Electrical Engineering,Zürich,Switzerland,8092"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2011.2170420"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s10339-007-0168-9"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793868"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569415"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511546921"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6149"},{"key":"ref7","article-title":"Hybrid rl: Using both offline and online data can make rl efficient","author":"Song","year":"2022","journal-title":"arXiv preprint arXiv:2210.06718"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01495"},{"key":"ref9","first-page":"148","article-title":"Experiments with a new boosting algorithm","volume":"96","author":"Freund","year":"1996","journal-title":"icml"},{"key":"ref10","article-title":"Online gradient boosting","volume":"28","author":"Beygelzimer","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref11","first-page":"96","article-title":"Boosting for control of dynamical systems","volume-title":"International Conference on Machine Learning.","author":"Agarwal"},{"key":"ref12","first-page":"103","article-title":"Evaluation and analysis of the performance of the exp.3 algorithm in stochastic environments","volume-title":"European Workshop on Reinforcement Learning. PMLR","author":"Seldin"},{"key":"ref13","article-title":"Fusing multiple algorithms for heterogeneous online learning","author":"Gadginmath","year":"2023","journal-title":"arXiv preprint arXiv:2312.05432"},{"key":"ref14","article-title":"Scaling laws for fine-grained mixture of experts","author":"Krajewski","year":"2024","journal-title":"arXiv preprint arXiv:2402.07871"},{"key":"ref15","first-page":"35300","article-title":"Leveraging offline data in online reinforcement learning","volume-title":"International Conference on Machine Learning.","author":"Wagenmaker"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-007-5016-8"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2019.2949757"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2901638"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2019.2926677"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CDC45484.2021.9683541"},{"key":"ref21","article-title":"Psi: A pedestrian behavior dataset for socially intelligent autonomous car","author":"Chen","year":"2021","journal-title":"arXiv preprint arXiv:2112.02604"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00967"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00636"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3281393"},{"key":"ref25","article-title":"Eanet: Expert attention network for online trajectory prediction","author":"Yao","year":"2023","journal-title":"arXiv preprint arXiv:2309.05683"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2018.8460651"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3028049"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561652"},{"key":"ref29","article-title":"Online residual learning from offline experts for pedestrian tracking","author":"Vlachos","year":"2024","journal-title":"arXiv preprint arXiv:2409.04069"},{"issue":"4","key":"ref30","first-page":"5","article-title":"Learning social etiquette: Human trajectory prediction in crowded scenes","volume-title":"European Conference on Computer Vision (ECCV)","volume":"2","author":"Robicquet"},{"key":"ref31","first-page":"1453","article-title":"Online learning under delayed feedback","volume-title":"International conference on machine learning.","author":"Joulani"},{"key":"ref32","first-page":"48657","article-title":"Predictive linear online tracking for unknown targets","volume-title":"International Conference on Machine Learning.","author":"Tsiamis"}],"event":{"name":"2024 IEEE 63rd Conference on Decision and Control (CDC)","start":{"date-parts":[[2024,12,16]]},"location":"Milan, Italy","end":{"date-parts":[[2024,12,19]]}},"container-title":["2024 IEEE 63rd Conference on Decision and Control (CDC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10885784\/10885785\/10886314.pdf?arnumber=10886314","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,27]],"date-time":"2025-02-27T07:33:39Z","timestamp":1740641619000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10886314\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,16]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/cdc56724.2024.10886314","relation":{},"subject":[],"published":{"date-parts":[[2024,12,16]]}}}