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J-GLOBAL ID：200902212157231153   Reference number：06A0592498

Reinforcement Learning for Continuous Stochastic Actions-An Approximation of Probability Density Function by Orthogonal Wave Function Expansion-

連続的な確率的行動に対する強化学習 直交波動関数展開による確率密度関数の近似

Author (1)： SATOH Hideki (Future Univ.-Hakodate, Hakodate-shi, JPN)
Material： IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (Institute of Electronics, Information and Communication Engineers)  (IEICE Trans Fundam Electron Commun Comput Sci (Inst Electron Inf Commun Eng))
Volume： E89-A  Issue： 8  Page： 2173-2180  Publication year： Aug. 01, 2006 
JST Material Number： F0699C  ISSN： 0916-8508  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *reinforcement learning ,...

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JST classification (1)： Artificial intelligence  (JE08000Z)

Reference (15)：

• SUTTON, R. S. Reinforcement Learning. 1998
• ALBUS, J. S. A theory of cerebellar function. Mathematical Biosciences. 1971, 10, 25-61
• WITTEN, I. H. An adaptive optimal controller for discrete-time Markov environments. Information and Control. 1977, 34, 286-295
• BARTO, A. G. Neuron-like elements that can solve difficult learning control problems. IEEE Trans. Syst. Man Cybern. 1983, 13, 835-846
• MORIMOTO, J. Reinforcement learning of dynamic motor sequence : Learning to stand up. Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems, 1998. 1998, 3, 1721-1726

Terms in the title (7)： 確率 ,  行動 ,  強化学習 ,  波動関数 ,  展開 ,  確率密度関数 ,  近似