{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T02:46:57Z","timestamp":1771642017751,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":18,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642387081","type":"print"},{"value":"9783642387098","type":"electronic"}],"license":[{"start":{"date-parts":[[2013,1,1]],"date-time":"2013-01-01T00:00:00Z","timestamp":1356998400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-40988-2_4","type":"book-chapter","created":{"date-parts":[[2013,8,28]],"date-time":"2013-08-28T10:56:40Z","timestamp":1377687400000},"page":"49-64","source":"Crossref","is-referenced-by-count":15,"title":["Learning Throttle Valve Control Using Policy Search"],"prefix":"10.1007","author":[{"given":"Bastian","family":"Bischoff","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Duy","family":"Nguyen-Tuong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Torsten","family":"Koller","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heiner","family":"Markert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alois","family":"Knoll","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"4_CR1","doi-asserted-by":"crossref","unstructured":"Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning). The MIT Press (1998)","DOI":"10.1109\/TNN.1998.712192"},{"key":"4_CR2","unstructured":"Deisenroth, P.M., Rasmussen, C.E.: PILCO: A Model-Based and Data-Efficient Approach to Policy Search. In: ICML, pp. 465\u2013472 (2011)"},{"key":"4_CR3","doi-asserted-by":"crossref","unstructured":"Wiering, M., van Otterlo, M.: Reinforcement Learning: State-of-the-Art. Adaptation, Learning, and Optimization. Springer (2012)","DOI":"10.1007\/978-3-642-27645-3"},{"key":"4_CR4","unstructured":"Deisenroth, M.P.: Efficient Reinforcement Learning using Gaussian Processes. PhD Thesis, Karlsruhe (2010)"},{"key":"4_CR5","doi-asserted-by":"crossref","unstructured":"Yuan, X., Wang, Y., Wu, L.: SVM-Based Approximate Model Control for Electronic Throttle Valve. Transactions on Vehicular Technology\u00a057(5) (2008)","DOI":"10.1109\/TVT.2008.917222"},{"key":"4_CR6","doi-asserted-by":"crossref","unstructured":"Nentwig, M., Mercorelli, P.: Throttle valve control using an inverse local linear model tree based on a fuzzy neural network. In: 7th International Conference on Cybernetic Intelligent Systems (2008)","DOI":"10.1109\/UKRICIS.2008.4798943"},{"key":"4_CR7","doi-asserted-by":"crossref","unstructured":"Yuan, X., Wang, Y., Lianghong, W., Xizheng, X., Sun, W.: Neural Network Based Self-Learning Control Strategy for Electronic Throttle Valve. Transactions on Vehicular Technology\u00a059(8) (2010)","DOI":"10.1109\/TVT.2010.2044521"},{"key":"4_CR8","unstructured":"Seeger, M., Williams, C.K.I., Lawrence, N.D.: Fast Forward Selection to Speed Up Sparse Gaussian Process Regression. In: 9th International Workshop on Artificial Intelligence and Statistics (2003)"},{"key":"4_CR9","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1080\/0020718508961129","volume":"41","author":"I.J. Leontaritis","year":"1985","unstructured":"Leontaritis, I.J., Billings, S.A.: Input-output Parametric Models for Nonlinear Systems. International Journal of Control\u00a041, 303\u2013344 (1985)","journal-title":"International Journal of Control"},{"key":"4_CR10","unstructured":"Griffiths, P.G.: Embedded Software Control Design for an Electronic Throttle Body. Master\u2019s Thesis, Berkeley, California (2000)"},{"key":"4_CR11","unstructured":"Deisenroth, M.P., Fox, D.: Multiple-Target Reinforcement Learning with a Single Policy. In: ICML Workshop on Planning and Acting with Uncertain Models (2011)"},{"key":"4_CR12","unstructured":"Nakamura, H., Masashi, M.: Thottle valve positioning control apparatus. United States Patent 5,852,996 (1998)"},{"key":"4_CR13","doi-asserted-by":"publisher","first-page":"27","DOI":"10.5120\/9625-4273","volume":"59","author":"S.A. Al-samarraie","year":"2012","unstructured":"Al-samarraie, S.A., Abbas, Y.K.: Design of Electronic Throttle Valve Position Control System using Nonlinear PID Controller. International Journal of Computer Applications\u00a059, 27\u201334 (2012)","journal-title":"International Journal of Computer Applications"},{"key":"4_CR14","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1007\/s00521-011-0678-3","volume":"22","author":"H. Wang","year":"2013","unstructured":"Wang, H., Yuan, X., Wang, Y., Yang, Y.: Harmony search algorithm-based fuzzy-PID controller for electronic throttle valve. Neural Computing and Applications\u00a022, 329\u2013336 (2013)","journal-title":"Neural Computing and Applications"},{"key":"4_CR15","doi-asserted-by":"crossref","unstructured":"Deisenroth, M.P., Rasmussen, C.E., Fox, D.: Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning. RSS (2011)","DOI":"10.15607\/RSS.2011.VII.008"},{"key":"4_CR16","unstructured":"Fisher Controls International LLC: Control Valve Handbook, 4th edn. (2005)"},{"key":"4_CR17","unstructured":"Ting, J., D\u2019Souza, A., Schaal, S.: A Bayesian Approach to Nonlinear Parameter Identification for Rigid-Body Dynamics. Neural Networks (2009)"},{"issue":"10","key":"4_CR18","doi-asserted-by":"publisher","first-page":"1231","DOI":"10.1016\/j.conengprac.2008.01.010","volume":"16","author":"C. Garcia","year":"2008","unstructured":"Garcia, C.: Comparison of Friction Models Applied to a Control Valve. Control Eng. Pract.\u00a016(10), 1231\u20131243 (2008)","journal-title":"Control Eng. Pract."}],"container-title":["Lecture Notes in Computer Science","Advanced Information Systems Engineering"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-40988-2_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,3,5]],"date-time":"2022-03-05T00:45:39Z","timestamp":1646441139000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-40988-2_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642387081","9783642387098"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-40988-2_4","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2013]]}}}