Improving reinforcement learning in stochastic RAM-based neural networks-Reference-Cited by-同舟云学术

Improving reinforcement learning in stochastic RAM-based neural networks

Published:1996-04 Issue:1 Volume:3 Page:11-15
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Ferguson Alistair,Bolouri Hamid

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

http://link.springer.com/content/pdf/10.1007/BF00417784.pdf

Reference7 articles.

1. H.Bolouri, P.Morgan and K.N.Gurney, ?Design, manufacture, and evaluation of a scalable high-performance neural system?, Electronics Letters, Vol. 30 (3 March), pp. 426?427, 1994.

2. T.G.Clarkson, D.Gorse, J.G.Taylor and C.K.Ng, ?Learning probabilistic RAM nets using VLSI structures?, IEEE Transactions on Computers, Vol. 41 (Dec.), pp. 1552?1561, 1992.

3. Technical Memorandum CN/R/144;K.N. Gurney,1989

4. W.-K. Kan and I. Aleksander, ?A probabilistic logic neuron for associative learning?. Proc. of the Int. Conf. on Neural Networks, pp. 541?548, 1987.

5. A.G.Bartlo and M.I.Jordan, ?Gradient following without back-propagation in layered networks?, Proc. of the Int. Conf. on Neural Networks, Vol. 2, pp. 629?636, 1987.

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