{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T12:35:29Z","timestamp":1725798929478},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319111780"},{"type":"electronic","value":"9783319111797"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-11179-7_44","type":"book-chapter","created":{"date-parts":[[2014,8,17]],"date-time":"2014-08-17T21:36:27Z","timestamp":1408311387000},"page":"347-354","source":"Crossref","is-referenced-by-count":0,"title":["Contingent Features for Reinforcement Learning"],"prefix":"10.1007","author":[{"given":"Nathan","family":"Sprague","sequence":"first","affiliation":[],"role":[{"role":"author","vocab":"crossref"}]}],"member":"297","reference":[{"key":"44_CR1","unstructured":"Bellemare, M.G., Veness, J., Bowling, M.: Investigating contingency awareness using Atari 2600 games. In: Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (2012)"},{"issue":"4","key":"44_CR2","doi-asserted-by":"publisher","first-page":"341","DOI":"10.1007\/s13218-012-0190-7","volume":"26","author":"A.N. Escalante-B","year":"2012","unstructured":"Escalante-B, A.N., Wiskott, L.: Slow feature analysis: Perspectives for technical applications of a versatile learning algorithm. K\u00fcnstliche Intelligenz\u00a026(4), 341\u2013348 (2012)","journal-title":"K\u00fcnstliche Intelligenz"},{"key":"44_CR3","unstructured":"Geramifard, A., Walsh, T., Roy, N., How, J.: Batch iFDD: A Scalable Matching Pursuit Algorithm for Solving MDPs. In: Proceedings of the 29th Annual Conference on Uncertainty in Artificial Intelligence (2013)"},{"key":"44_CR4","doi-asserted-by":"crossref","unstructured":"Kolter, J., Ng, A.Y.: Regularization and feature selection in least-squares temporal difference learning. In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 521\u2013528. ACM (2009)","DOI":"10.1145\/1553374.1553442"},{"key":"44_CR5","first-page":"1107","volume":"4","author":"M.G. Lagoudakis","year":"2003","unstructured":"Lagoudakis, M.G., Parr, R.: Least-squares policy iteration. The Journal of Machine Learning Research\u00a04, 1107\u20131149 (2003)","journal-title":"The Journal of Machine Learning Research"},{"key":"44_CR6","doi-asserted-by":"crossref","unstructured":"Lange, S., Riedmiller, M.: Deep auto-encoder neural networks in reinforcement learning. In: Proceedings of the 2010 International Joint Conference on Neural Networks, pp. 1\u20138. IEEE (2010)","DOI":"10.1109\/IJCNN.2010.5596468"},{"key":"44_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/978-3-642-33266-1_35","volume-title":"Artificial Neural Networks and Machine Learning \u2013 ICANN 2012","author":"M. Luciw","year":"2012","unstructured":"Luciw, M., Schmidhuber, J.: Low complexity proto-value function learning from sensory observations with incremental slow feature analysis. In: Villa, A.E.P., Duch, W., \u00c9rdi, P., Masulli, F., Palm, G. (eds.) ICANN 2012, Part II. LNCS, vol.\u00a07553, pp. 279\u2013287. Springer, Heidelberg (2012)"},{"key":"44_CR8","doi-asserted-by":"crossref","unstructured":"Mahadevan, S., Giguere, S., Jacek, N.: Basis adaptation for sparse nonlinear reinforcement learning (2013)","DOI":"10.1609\/aaai.v27i1.8665"},{"issue":"16","key":"44_CR9","first-page":"2169","volume":"8","author":"S. Mahadevan","year":"2007","unstructured":"Mahadevan, S., Maggioni, M.: Proto-value functions: A laplacian framework for learning representation and control in markov decision processes. Journal of Machine Learning Research\u00a08(16), 2169\u20132231 (2007)","journal-title":"Journal of Machine Learning Research"},{"key":"44_CR10","doi-asserted-by":"crossref","unstructured":"Parr, R., Painter-Wakefield, C., Li, L., Littman, M.: Analyzing feature generation for value-function approximation. In: Proceedings of the 24th International Conference on Machine Learning (2007)","DOI":"10.1145\/1273496.1273589"},{"key":"44_CR11","doi-asserted-by":"crossref","unstructured":"Sprague, N.: Basis iteration for reward based dimensionality reduction. In: Proceedings of the 6th IEEE International Conference on Development and Learning (2007)","DOI":"10.1109\/DEVLRN.2007.4354032"},{"key":"44_CR12","unstructured":"Sprague, N.: Predictive projections. In: Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (2009)"},{"issue":"12","key":"44_CR13","doi-asserted-by":"publisher","first-page":"3287","DOI":"10.1162\/NECO_a_00214","volume":"23","author":"H. Sprekeler","year":"2011","unstructured":"Sprekeler, H.: On the relation of slow feature analysis and laplacian eigenmaps. Neural Computation\u00a023(12), 3287\u20133302 (2011)","journal-title":"Neural Computation"},{"issue":"4","key":"44_CR14","doi-asserted-by":"publisher","first-page":"715","DOI":"10.1162\/089976602317318938","volume":"14","author":"L. Wiskott","year":"2002","unstructured":"Wiskott, L., Sejnowski, T.J.: Slow feature analysis: Unsupervised learning of invariances. Neural Computation\u00a014(4), 715\u2013770 (2002)","journal-title":"Neural Computation"},{"key":"44_CR15","doi-asserted-by":"crossref","unstructured":"Zito, T., Wilbert, N., Wiskott, L., Berkes, P.: Modular toolkit for data processing (MDP): a Python data processing frame work. Front. Neuroinform.\u00a02(8) (2008)","DOI":"10.3389\/neuro.11.008.2008"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2014"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-11179-7_44","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,15]],"date-time":"2023-07-15T22:53:38Z","timestamp":1689461618000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-11179-7_44"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319111780","9783319111797"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-11179-7_44","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}