Reservoir computing-based mental simulation for direct action sequence optimization
Author:
Affiliation:
1. The School of System Information Science, Future University Hakodate
2. The Institute of Industrial Science, The University of Tokyo
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Link
https://www.jstage.jst.go.jp/article/nolta/15/2/15_421/_pdf
Reference16 articles.
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2. [2] A. Cichocki and A. Phan, “Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations,” IEICE Trans. Fundamentals of Electronics, Communications and Computer Sciences, vol. E92.A, no. 3, pp. 708-721, 2009.
3. [3] D. Ha and J. Schmidhuber, “Recurrent World Models Facilitate Policy Evolution,” vol. 31, Curran Associates, Inc., 2018.
4. [4] Y. Katori, “Network Model for Dynamics of Perception with Reservoir Computing and Predictive Coding,” Advances in Cognitive Neurodynamics (VI), pp. 89-95, 2018.
5. [5] M.J.D. Powell, “An efficient method for finding the minimum of a function of several variables without calculating derivatives,” The Computer Journal, vol. 7, no. 2, pp. 155-162, January 1964.
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