{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T01:07:42Z","timestamp":1729645662533,"version":"3.28.0"},"reference-count":30,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,9]]},"DOI":"10.1109\/iros.2015.7353855","type":"proceedings-article","created":{"date-parts":[[2015,12,17]],"date-time":"2015-12-17T21:52:55Z","timestamp":1450389175000},"page":"3427-3434","source":"Crossref","is-referenced-by-count":0,"title":["Learning Predictive State Representations for planning"],"prefix":"10.1109","author":[{"given":"Johannes A.","family":"Stork","sequence":"first","affiliation":[]},{"given":"Carl Henrik","family":"Ek","sequence":"additional","affiliation":[]},{"given":"Danica","family":"Kragic","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref30","first-page":"505","article-title":"Distance Metric Learning with Application to Clustering with Side-Information","author":"xing","year":"2002","journal-title":"Advances in neural information processing systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-68825-9_13"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.15607\/RSS.2014.X.019"},{"key":"ref12","article-title":"Keynote Lecture: Robot Intelligence","author":"kaebling","year":"2010","journal-title":"AAAI Conference on Artificial Intelligence"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(98)00023-X"},{"key":"ref14","article-title":"Spectral Learning of Predictive State Representations with Insufficient Statistics","author":"kulesza","year":"0","journal-title":"AAAI 2015"},{"key":"ref15","first-page":"1","article-title":"Au-tonomous reinforcement learning on raw visual input data in a real world application","author":"lange","year":"2012","journal-title":"IJCNN"},{"key":"ref16","first-page":"1555","article-title":"Predictive Representations of State","author":"littman","year":"2002","journal-title":"NIPS"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10339-011-0404-1"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-29946-9_6"},{"key":"ref19","volume":"29","author":"pearl","year":"2000","journal-title":"Causality Models Reasoning and Inference"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1162\/089976602317318938"},{"key":"ref4","article-title":"Hilbert Space Embeddings of Predictive State Representations","author":"boots","year":"0","journal-title":"UAI 2013"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/1329125.1329352"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1177\/0278364911404092"},{"key":"ref6","first-page":"503","article-title":"Tree-based batch mode reinforcement learning","author":"ernst","year":"0","journal-title":"JMLR 2005"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102475"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102360"},{"key":"ref8","first-page":"3395","article-title":"Efficient Learning and Planning with Compressed Predictive States","volume":"15","author":"hamilton","year":"2014","journal-title":"JMLR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ADPRL.2014.7010609"},{"key":"ref2","article-title":"An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems","author":"boots","year":"0","journal-title":"AAAI 2011"},{"key":"ref9","article-title":"Mod-elling sparse dynamical systems with compressed predictive state representations","author":"hamilton","year":"0","journal-title":"ICML 2013"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/11564096_32"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1613\/jair.874","article-title":"Learning geometrically-constrained hidden markov models for robot navigation: Bridging the topological-geometrical gap","volume":"1","author":"shatkay","year":"2002","journal-title":"Journal of Artificial Intelligence Research"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/1015330.1015441"},{"key":"ref24","first-page":"1223","article-title":"Predictive Projections","author":"sprague","year":"2009","journal-title":"International Joint Conference on Artificial Intelligence (IJCAI)"},{"key":"ref23","first-page":"512","article-title":"Predictive state representations: A new theory for modeling dynamical systems","author":"singh","year":"2004","journal-title":"UAI"},{"key":"ref26","first-page":"1064","article-title":"Monte Carlo POMDPs","volume":"12","author":"thrun","year":"1999","journal-title":"NIPS"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139641"}],"event":{"name":"2015 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","start":{"date-parts":[[2015,9,28]]},"location":"Hamburg, Germany","end":{"date-parts":[[2015,10,2]]}},"container-title":["2015 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7347169\/7353104\/07353855.pdf?arnumber=7353855","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,2]],"date-time":"2019-09-02T17:06:56Z","timestamp":1567444016000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7353855\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/iros.2015.7353855","relation":{},"subject":[],"published":{"date-parts":[[2015,9]]}}}