{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T16:43:23Z","timestamp":1725900203673},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642118180"},{"type":"electronic","value":"9783642118197"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-11819-7_7","type":"book-chapter","created":{"date-parts":[[2010,8,16]],"date-time":"2010-08-16T12:04:34Z","timestamp":1281960274000},"page":"84-96","source":"Crossref","is-referenced-by-count":0,"title":["Adaptive State Space Abstraction Using Neuroevolution"],"prefix":"10.1007","author":[{"given":"Robert","family":"Wright","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nathaniel","family":"Gemelli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"7_CR1","first-page":"369","volume-title":"Advances in Neural Information Processing Systems","author":"J.A. Boyan","year":"1995","unstructured":"Boyan, J.A., Moore, A.W.: Generalization in reinforcement learning: Safely approximating the value function. In: Tesauro, G., Touretzky, D.S., Leen, T.K. (eds.) Advances in Neural Information Processing Systems, vol.\u00a07, pp. 369\u2013376. The MIT Press, Cambridge (1995)"},{"key":"7_CR2","volume-title":"IEEE-TTTC International Conference on Automation, Quality and Testing, Robotics","author":"M. Carreras","year":"2002","unstructured":"Carreras, M., Ridao, P., Batlle, J., Nicosebici, T., Ursulovici, Z.: Learning reactive robot behaviors with neural-q learning. In: IEEE-TTTC International Conference on Automation, Quality and Testing, Robotics. IEEE, Los Alamitos (2002)"},{"key":"7_CR3","first-page":"1356","volume-title":"IJCAI 1999: Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence","author":"F.J. Gomez","year":"1999","unstructured":"Gomez, F.J., Miikkulainen, R.: Solving non-markovian control tasks with neuro-evolution. In: IJCAI 1999: Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, pp. 1356\u20131361. Morgan Kaufmann Publishers Inc., San Francisco (1999)"},{"key":"7_CR4","unstructured":"James, D., Tucker, P.: A comparative analysis of simplification and complexification in the evolution of neural network topologies. In: Proceedings of the 2004 Conference on Genetic and Evolutionary Computation, GECCO 2004 (2004)"},{"key":"7_CR5","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1162\/evco.1997.5.4.373","volume":"5","author":"D.E. Moriarty","year":"1997","unstructured":"Moriarty, D.E., Miikkulainen, R.: Forming neural networks through efficient and adaptive coevolution. Evolutionary Computation\u00a05, 373\u2013399 (1997)","journal-title":"Evolutionary Computation"},{"key":"7_CR6","doi-asserted-by":"crossref","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. Neurocomputing: foundations of research, 696\u2013699 (1988)","DOI":"10.7551\/mitpress\/4943.003.0042"},{"key":"7_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1007\/978-3-540-74936-3_47","volume-title":"Pattern Recognition","author":"N.T. Siebel","year":"2007","unstructured":"Siebel, N.T., Krause, J., Sommer, G.: Efficient Learning of Neural Networks with Evolutionary Algorithms. In: Hamprecht, F.A., Schn\u00f6rr, C., J\u00e4hne, B. (eds.) DAGM 2007. LNCS, vol.\u00a04713, pp. 466\u2013475. Springer, Heidelberg (2007)"},{"key":"7_CR8","first-page":"361","volume-title":"Advances in Neural Information Processing Systems","author":"S.P. Singh","year":"1995","unstructured":"Singh, S.P., Jaakkola, T., Jordan, M.I.: Reinforcement learning with soft state aggregation. In: Tesauro, G., Touretzky, D., Leen, T. (eds.) Advances in Neural Information Processing Systems, vol.\u00a07, pp. 361\u2013368. The MIT Press, Cambridge (1995)"},{"key":"7_CR9","unstructured":"Stanley, K.O.: Efficient evolution of neural networks through complexification. PhD thesis, The University of Texas at Austin. Supervisor-Risto P. Miikkulainen (2004)"},{"key":"7_CR10","unstructured":"Stanley, K.O., Miikkulainen, R.: Evolving neural networks through augmenting topologies. Tech. rep., University of Texas at Austin, Austin, TX, USA (2001)"},{"key":"7_CR11","first-page":"569","volume-title":"GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference","author":"K.O. Stanley","year":"2002","unstructured":"Stanley, K.O., Miikkulainen, R.: Efficient reinforcement learning through evolving neural network topologies. In: GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, pp. 569\u2013577. Morgan Kaufmann Publishers Inc., San Francisco (2002)"},{"key":"7_CR12","volume-title":"Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning)","author":"R.S. Sutton","year":"1998","unstructured":"Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning). The MIT Press, Cambridge (1998)"},{"issue":"3","key":"7_CR13","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1145\/203330.203343","volume":"38","author":"G. Tesauro","year":"1995","unstructured":"Tesauro, G.: Temporal difference learning and td-gammon. Commun. ACM\u00a038(3), 58\u201368 (1995)","journal-title":"Commun. ACM"},{"issue":"3-4","key":"7_CR14","doi-asserted-by":"publisher","first-page":"279","DOI":"10.1007\/BF00992698","volume":"8","author":"C.J.C.H. Watkins","year":"1992","unstructured":"Watkins, C.J.C.H., Dayan, P.: Q-learning. Machine Learning\u00a08(3-4), 279\u2013292 (1992)","journal-title":"Machine Learning"},{"key":"7_CR15","first-page":"877","volume":"7","author":"S. Whiteson","year":"2006","unstructured":"Whiteson, S., Stone, P.: Evolutionary function approximation for reinforcement learning. Journal of Machine Learning Research\u00a07, 877\u2013917 (2006)","journal-title":"Journal of Machine Learning Research"}],"container-title":["Communications in Computer and Information Science","Agents and Artificial Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-11819-7_7.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,29]],"date-time":"2024-03-29T15:43:32Z","timestamp":1711727012000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-11819-7_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642118180","9783642118197"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-11819-7_7","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2010]]}}}