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A Training Algorithm for Systems Described by Stochastic Transition Matrices

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2 Author(s)
Glorioso, R. M. ; Elec. Eng. Dept., University of Massachusetts, Amherst, Mass. 01002 ; Grueneich, G. R.

Stochastic transition matrices are a convenient means for describing the behavior of adaptive and learning systems. Several systems which utilize these matrices and associated reinforcement (reward and punishment) techniques have been reported. A training algorithm is described which has been applied to a learning system described by stochastic transition matrices in which the environment was unknown a priori and nonstationary.

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Systems, Man and Cybernetics, IEEE Transactions on  (Volume:SMC-1 ,  Issue: 1 )