{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T23:29:34Z","timestamp":1725665374876},"publisher-location":"Berlin, Heidelberg","reference-count":12,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642284984"},{"type":"electronic","value":"9783642284991"}],"license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-28499-1_6","type":"book-chapter","created":{"date-parts":[[2012,2,27]],"date-time":"2012-02-27T03:59:11Z","timestamp":1330315151000},"page":"85-99","source":"Crossref","is-referenced-by-count":3,"title":["Basis Function Discovery Using Spectral Clustering and Bisimulation Metrics"],"prefix":"10.1007","author":[{"given":"Gheorghe","family":"Comanici","sequence":"first","affiliation":[]},{"given":"Doina","family":"Precup","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"6_CR1","volume-title":"Neuro-Dynamic Programming","author":"D.P. Bertsekas","year":"1996","unstructured":"Bertsekas, D.P., Tsitsiklis, J.N.: Neuro-Dynamic Programming. Athena Scientific, Bellman (1996)"},{"key":"6_CR2","doi-asserted-by":"crossref","unstructured":"Chung, F.: Spectral Graph Theory. CBMS Regional Conference Series in Mathematics (1997)","DOI":"10.1090\/cbms\/092"},{"key":"6_CR3","unstructured":"Ferns, N., Panangaden, P., Precup, D.: Metrics for Finite Markov Decision Processes. In: Conference on Uncertainty in Artificial Intelligence (2004)"},{"key":"6_CR4","unstructured":"Ferns, N., Panangaden, P., Precup, D.: Metrics for Markov Decision Processes with Infinite State Spaces. In: Conference on Uncertainty in Artificial Intelligence (2005)"},{"key":"6_CR5","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1145\/1143844.1143901","volume-title":"International Conference on Machine Learning","author":"P.W. Keller","year":"2006","unstructured":"Keller, P.W., Mannor, S., Precup, D.: Automatic Basis Function Construction for Approximate Dynamic Programming and Reinforcement Learning. In: International Conference on Machine Learning, pp. 449\u2013456. ACM Press, New York (2006)"},{"key":"6_CR6","doi-asserted-by":"crossref","unstructured":"Mahadevan, S.: Proto-Value Functions: Developmental Reinforcement Learning. In: International Conference on Machine Learning, pp. 553\u2013560 (2005)","DOI":"10.1145\/1102351.1102421"},{"key":"6_CR7","first-page":"2169","volume":"8","author":"S. Mahadevan","year":"2005","unstructured":"Mahadevan, S., Maggioni, M.: Proto-Value Functions: A Laplacian Framework for Learning Representation and Control in Markov Decision Processes. Machine Learning\u00a08, 2169\u20132231 (2005)","journal-title":"Machine Learning"},{"key":"6_CR8","doi-asserted-by":"crossref","unstructured":"Parr, R., Painter-Wakefiled, H., Li, L., Littman, M.L.: Analyzing Feature Generation for Value Function Approximation. In: International Conference on Machine Learning, pp. 737\u2013744 (2008)","DOI":"10.1145\/1273496.1273589"},{"key":"6_CR9","unstructured":"Petrik, M.: An Analysis of Laplacian Methods for Value Function Approximation in MDPs. In: International Joint Conference on Artificial Intelligence, pp. 2574\u20132579 (2007)"},{"key":"6_CR10","doi-asserted-by":"crossref","unstructured":"Puterman, M.L.: Markov Decision Processes: Discrete and Stochastic Dynamic Programming. Wiley (1994)","DOI":"10.1002\/9780470316887"},{"key":"6_CR11","unstructured":"Sutton, R.S., Barto, A.G.: Introduction to Reinforcement Learning. MIT Press (1998)"},{"issue":"5","key":"6_CR12","doi-asserted-by":"publisher","first-page":"674","DOI":"10.1109\/9.580874","volume":"42","author":"J.N. Tsitsiklis","year":"1997","unstructured":"Tsitsiklis, J.N., Van Roy, B.: An Analysis of Temporal-Difference Learning with Function Approximation. IEEE Transactions on Automatic Control\u00a042(5), 674\u2013690 (1997)","journal-title":"IEEE Transactions on Automatic Control"}],"container-title":["Lecture Notes in Computer Science","Adaptive and Learning Agents"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-28499-1_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,31]],"date-time":"2021-12-31T08:36:43Z","timestamp":1640939803000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-28499-1_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642284984","9783642284991"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-28499-1_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}