{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T16:12:02Z","timestamp":1772122322373,"version":"3.50.1"},"reference-count":19,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2013,11,23]],"date-time":"2013-11-23T00:00:00Z","timestamp":1385164800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Process Lett"],"published-print":{"date-parts":[[2015,2]]},"DOI":"10.1007\/s11063-013-9334-5","type":"journal-article","created":{"date-parts":[[2013,11,22]],"date-time":"2013-11-22T20:23:10Z","timestamp":1385151790000},"page":"55-69","source":"Crossref","is-referenced-by-count":30,"title":["Neural Network Ensembles in Reinforcement Learning"],"prefix":"10.1007","volume":"41","author":[{"given":"Stefan","family":"Fau\u00dfer","sequence":"first","affiliation":[]},{"given":"Friedhelm","family":"Schwenker","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2013,11,23]]},"reference":[{"key":"9334_CR1","doi-asserted-by":"crossref","unstructured":"Baird LCI (1995) Residual algorithms: reinforcement learning with function approximation. In: Prieditis A, Russell SJ (eds) Proceedings of the 12th international conference on machine learning (ICML\u201995). Morgan Kaufmann, p 30\u201337","DOI":"10.1016\/B978-1-55860-377-6.50013-X"},{"key":"9334_CR2","volume-title":"Neuro-dynamic programming","author":"DP Bertsekas","year":"1996","unstructured":"Bertsekas DP, Tsitsiklis JN (1996) Neuro-dynamic programming. Athena Scientific, Belmont"},{"key":"9334_CR3","volume-title":"Pattern recognition and machine learning","author":"CM Bishop","year":"2006","unstructured":"Bishop CM (2006) Pattern recognition and machine learning. Springer, New York"},{"issue":"2","key":"9334_CR4","first-page":"123","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman L (1996) Bagging predictors. Mach Learn 24(2):123\u2013140","journal-title":"Mach Learn"},{"issue":"491","key":"9334_CR5","doi-asserted-by":"crossref","first-page":"194","DOI":"10.2307\/3619195","volume":"81","author":"H Burgiel","year":"1997","unstructured":"Burgiel H (1997) How to lose at tetris. Math Gazette 81(491):194\u2013200","journal-title":"Math Gazette"},{"issue":"12","key":"9334_CR6","doi-asserted-by":"crossref","first-page":"2293","DOI":"10.1016\/j.patcog.2004.04.004","volume":"37","author":"C Dietrich","year":"2004","unstructured":"Dietrich C, Palm G, Riede K, Schwenker F (2004) Classification of bioacoustic time series based on the combination of global and local decisions. Pattern Recognit 37(12):2293\u20132305","journal-title":"Pattern Recognit"},{"key":"9334_CR7","doi-asserted-by":"crossref","unstructured":"Fau\u00dfer S, Schwenker F (2011) Ensemble methods for reinforcement learning with function approximation. In: Sansone C, Kittler J, Roli F (eds) Proceedings of the 10th international workshop on multiple classifier systems (MCS 2011). Lecture notes in computer science, vol 6713. Springer, p 56\u201365","DOI":"10.1007\/978-3-642-21557-5_8"},{"issue":"4","key":"9334_CR8","doi-asserted-by":"crossref","first-page":"681","DOI":"10.1007\/s11390-010-9357-6","volume":"25","author":"MFA Hady","year":"2010","unstructured":"Hady MFA, Schwenker F (2010) Combining committee-based semi-supervised learning and active learning. J Comput Sci Technol 25(4):681\u2013698","journal-title":"J Comput Sci Technol"},{"key":"9334_CR9","doi-asserted-by":"crossref","unstructured":"Hans A, Udluft S (2010) Ensembles of neural networks for robust reinforcement learning. In: Draghici S, Khoshgoftaar TM, Palade V, Pedrycz W, Wani MA, Zhu X (eds) ICMLA. IEEE Computer Society, p 401\u2013406","DOI":"10.1109\/ICMLA.2010.66"},{"key":"9334_CR10","unstructured":"Li L (2008) A worst-case comparison between temporal difference and residual gradient with linear function approximation. In: Cohen WW, McCallum A, Roweis ST (eds) Proceedings of the 25th international conference on machine learning (ICML\u201908). ACM, ACM International Conference Proceeding Series, vol 307. pp 560\u2013567."},{"key":"9334_CR11","unstructured":"Scherrer B (2010) Should one compute the temporal difference fix point or minimize the Bellman residual? The unified oblique projection view. In: F\u00fcrnkranz J, Joachims T (eds) Machine learning (ICML\u201910). Omnipress, p 959\u2013966."},{"issue":"4\u20135","key":"9334_CR12","doi-asserted-by":"crossref","first-page":"439","DOI":"10.1016\/S0893-6080(01)00027-2","volume":"14","author":"F Schwenker","year":"2001","unstructured":"Schwenker F, Kestler HA, Palm G (2001) Three learning phases for radial-basis-function networks. Neural Netw 14(4\u20135):439\u2013458","journal-title":"Neural Netw"},{"key":"9334_CR13","volume-title":"Reinforcement learning: an introduction","author":"RS Sutton","year":"1998","unstructured":"Sutton RS, Barto AG (1998) Reinforcement learning: an introduction. MIT Press, Cambridge"},{"key":"9334_CR14","doi-asserted-by":"crossref","unstructured":"Sutton RS, Maei HR, Precup D, Bhatnagar S, Silver D, Szepesv\u00e1ri C, Wiewiora E (2009) Fast gradient-descent methods for temporal-difference learning with linear function approximation. In: Danyluk AP, Bottou L, Littman ML (eds) Proceedings of the 26th international conference on machine learning (ICML\u201909), vol 382. ACM, ACM International Conference Proceeding Series, p 125.","DOI":"10.1145\/1553374.1553501"},{"key":"9334_CR15","unstructured":"Szita I, Szepesv\u00e1ri C (2010) SZ-Tetris as a benchmark for studying key problems of reinforcement learning. In: ICML 2010 workshop on machine learning and games."},{"issue":"5","key":"9334_CR16","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1109\/9.580874","volume":"42","author":"J Tsitsiklis","year":"1997","unstructured":"Tsitsiklis J, Roy BV (1997) An analysis of temporal-difference learning with function approximation. IEEE Trans on Autom Control 42(5):674\u2013690","journal-title":"IEEE Trans on Autom Control"},{"issue":"4","key":"9334_CR17","doi-asserted-by":"crossref","first-page":"930","DOI":"10.1109\/TSMCB.2008.920231","volume":"38","author":"MA Wiering","year":"2008","unstructured":"Wiering MA, van Hasselt H (2008) Ensemble algorithms in reinforcement learning. IEEE Trans Syst Man Cybern Part B 38(4):930\u2013936","journal-title":"IEEE Trans Syst Man Cybern Part B"},{"key":"9334_CR18","doi-asserted-by":"crossref","unstructured":"Zhou ZH (2009) When semi-supervised learning meets ensemble learning. In: Benediktsson JA, Kittler J, Roli F (eds) MCS. Lecture Notes in Computer Science, vol 5519. Springer, p 529\u2013538.","DOI":"10.1007\/978-3-642-02326-2_53"},{"key":"9334_CR19","unstructured":"Zhou ZH (2011) Unlabeled data and multiple views. In: Schwenker F, Trentin E (eds) PSL. Lecture Notes in Computer Science, vol 7081. Springer, p 1\u20137."}],"container-title":["Neural Processing Letters"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-013-9334-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11063-013-9334-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11063-013-9334-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,4]],"date-time":"2019-08-04T00:21:57Z","timestamp":1564878117000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11063-013-9334-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,11,23]]},"references-count":19,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2015,2]]}},"alternative-id":["9334"],"URL":"https:\/\/doi.org\/10.1007\/s11063-013-9334-5","relation":{},"ISSN":["1370-4621","1573-773X"],"issn-type":[{"value":"1370-4621","type":"print"},{"value":"1573-773X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013,11,23]]}}}