A Brain-like Learning System with Supervised, Unsupervised and Reinforcement Learning-Reference-Cited by-同舟云学术

A Brain-like Learning System with Supervised, Unsupervised and Reinforcement Learning

Published:2006 Issue:9 Volume:126 Page:1165-1172
ISSN:0385-4221
Container-title:IEEJ Transactions on Electronics, Information and Systems
language:en
Short-container-title:IEEJ Trans.EIS

Author:

Sasakawa Takafumi¹,Hu Jinglu¹,Hirasawa Kotaro¹

Affiliation:

1. Graduate School of Information, Production and Systems, Waseda University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Link

https://www.jstage.jst.go.jp/article/ieejeiss/126/9/126_9_1165/_pdf

Reference15 articles.

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2. (2) R. S. Sutton and A. G. Barto: Reinforcement Learning: An Introduction, MIT Press, Cambridge (1998)

3. (3) A. Iwata, K. Hotta, H. Matsuo, and N. Suzumura: “Large scale neural network “CombNET””, IEICE Trans. Inf. and Syst, Vol. J73-D-II, No. 8, pp. 1261-1267 (1990-8) (in Japanese)

4. (4) G. J. Tesauro: “TD-Gammon, a self-teaching backgammon program, acheves master-level play”, Neural Computation, Vol. 6, pp. 215-219 (1994)

5. (5) V. Paraskecopoulos, M. I. Heywood, and C. R. Chatwin: “Modular SRV reinforcement learning architectures for non-linear control”, International Journal of Intelligent Control and Syst., Vol. 3(2), pp. 171-192 (1999)

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