• DocumentCode
    3782767
  • Title

    Asymptotic analysis of temporal-difference learning algorithms with linear function approximation

  • Author

    V. Tadic

  • Author_Institution
    Mihajlo Pupin Inst., Belgrade, Serbia
  • Volume
    5
  • fYear
    1999
  • Firstpage
    5050
  • Abstract
    The asymptotic properties of temporal-difference learning algorithms with linear function approximation are analyzed in the paper. The analysis is carried out in the context of the approximation of a discounted cost-to-go function associated to an uncontrolled Markov chain with an uncountable finite-dimensional state-space.
  • Keywords
    "Algorithm design and analysis","Approximation algorithms","Function approximation","Convergence","Difference equations","Random variables"
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-5250-5
  • Type

    conf

  • DOI
    10.1109/CDC.1999.833350
  • Filename
    833350
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3782767