{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T01:01:00Z","timestamp":1725757260630},"publisher-location":"Berlin, Heidelberg","reference-count":8,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642420566"},{"type":"electronic","value":"9783642420573"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013]]},"DOI":"10.1007\/978-3-642-42057-3_91","type":"book-chapter","created":{"date-parts":[[2013,11,16]],"date-time":"2013-11-16T09:28:04Z","timestamp":1384594084000},"page":"722-730","source":"Crossref","is-referenced-by-count":0,"title":["Kernel-Based Representation Policy Iteration with Applications to Optimal Path Tracking of Wheeled Mobile Robots"],"prefix":"10.1007","author":[{"given":"Zhenhua","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Ye","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zuo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"91_CR1","doi-asserted-by":"crossref","unstructured":"Sutton, R.S., Barto, A.G.: Reinforcement learning: an introduction. The MIT Press (1998)","DOI":"10.1109\/TNN.1998.712192"},{"issue":"1","key":"91_CR2","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1109\/37.257890","volume":"14","author":"V. Gullapalli","year":"1994","unstructured":"Gullapalli, V., Franklin, J., Benbrahim, H.: Acquiring robot skills via reinforcement learning. IEEE Control Systems\u00a014(1), 13\u201324 (1994)","journal-title":"IEEE Control Systems"},{"issue":"12","key":"91_CR3","doi-asserted-by":"publisher","first-page":"1863","DOI":"10.1109\/TNN.2011.2168422","volume":"22","author":"X. Xu","year":"2011","unstructured":"Xu, X., Liu, C., Yang, S., Hu, D.: Hierarchical approximate policy iteration with binary-tree state space decomposition. IEEE Transactions on Neural Networks\u00a022(12), 1863\u20131877 (2011)","journal-title":"IEEE Transactions on Neural Networks"},{"issue":"2","key":"91_CR4","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1109\/MCI.2009.932261","volume":"4","author":"F.Y. Wang","year":"2009","unstructured":"Wang, F.Y., Zhang, H., Liu, D.: Adaptive dynamic programming: An introduction. IEEE Computational Intelligence Magazine\u00a04(2), 39\u201347 (2009)","journal-title":"IEEE Computational Intelligence Magazine"},{"key":"91_CR5","first-page":"1038","volume":"8","author":"R.S. Sutton","year":"1996","unstructured":"Sutton, R.S.: Generalization in reinforcement learning: successful examples using sparse coarse coding. Advances in Neural Information Processing Systems\u00a08, 1038\u20131044 (1996)","journal-title":"Advances in Neural Information Processing Systems"},{"key":"91_CR6","first-page":"1107","volume":"4","author":"M.G. Lagoudakis","year":"2003","unstructured":"Lagoudakis, M.G., Parr, R.: Least-squares policy iteration. Journal of Machine Learning Research\u00a04, 1107\u20131149 (2003)","journal-title":"Journal of Machine Learning Research"},{"issue":"4","key":"91_CR7","doi-asserted-by":"publisher","first-page":"988","DOI":"10.1109\/TSMCB.2008.922019","volume":"38","author":"D. Liu","year":"2008","unstructured":"Liu, D., Javaherian, H., Kovalenko, O., Huang, T.: Adaptive critic learning techniques for engine torque and air-fuel ratio control. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics\u00a038(4), 988\u2013993 (2008)","journal-title":"IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics"},{"key":"91_CR8","unstructured":"Mahadevan, S.: Representation policy iteration. In: Proceedings of the 21th Annual Conference on Uncertainty in Artificial Intelligence (AAAI), pp. 372\u2013377 (2005)"}],"container-title":["Lecture Notes in Computer Science","Intelligence Science and Big Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-42057-3_91","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,24]],"date-time":"2019-05-24T05:02:22Z","timestamp":1558674142000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-42057-3_91"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013]]},"ISBN":["9783642420566","9783642420573"],"references-count":8,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-42057-3_91","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2013]]}}}