• DocumentCode
    1408927
  • Title

    A Training Algorithm for Systems Described by Stochastic Transition Matrices

  • Author

    Glorioso, R. M. ; Grueneich, G. R.

  • Author_Institution
    Elec. Eng. Dept., University of Massachusetts, Amherst, Mass. 01002
  • Issue
    1
  • fYear
    1971
  • Firstpage
    86
  • Lastpage
    87
  • Abstract
    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.
  • Keywords
    Contracts; Control systems; Cutoff frequency; Learning systems; Process control; Signal generators; Stochastic processes; Stochastic systems; System testing; Traffic control;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/TSMC.1971.5408611
  • Filename
    5408611
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1408927