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Результат поиска |
Поиск книг, содержащих: Reinforcement learning
Книга | Страницы для поиска | Dietterich T.G., Becker S., Ghahramani Z. — Advances in neural information processing systems 14 (Vol. 1 and vol. 2) | 11, 43, 115, 1337, 1377, 1393, 1475, 1483, 1491, 1499, 1507, 1515, 1531, 1547, 1563, 1587 | Konar A. — Computational Intelligence | 16, 177, 298 | Kohonen T. — Self-organizing maps | 369 | Jang J.-S.R., Sun Ch.-T., Muzutani E. — Neuro-Fuzzy and Soft Computing | 258, 480 | Burke E.K., Kendall G. — Search Methodologies: Introductory Tutorials in Optimization and Decision Support Techniques | 342, 351—352, 357, 360, 368, 369, 530 | Ablameyko S., Goras L., Gori M. — Neural networks for instrumentation, measurement and related industrial applications | 110 | Pal S.K., Pal A. (eds.) — Pattern Recognition: From Classical to Modern Approaches | 14 | Mitra S., Acharya T. — Data mining. Multimedia, soft computing, and bioinformatics | 45 | Bertsekas D.P. — Dynamic programming and optimal control (Vol. 2) | 122 | Mitchell T.M. — Machine Learning | 367—387, See also "Q learning algorithm" | Krose B., van der Smagt P. — An introduction to neural networks | 75 | Powell W.B. — Approximate dynamic programming: Solving the curses of dimensionality | 119 | Rabin S. — AI Game Programming Wisdom 4 (AI Game Programming Wisdom (W/CD)) | 559—560, 562—563, 619—620 | BertsekasD., Tsitsiklis J. — Neuro-Dynamic Programming (Optimization and Neural Computation Series, 3) | 8, 10 |
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