• DocumentCode
    3019531
  • Title

    Reinforcement learning for autonomic network repair

  • Author

    Littman, Michael L. ; Ravi, Nishkam ; Fenson, Eitan ; Howard, Rich

  • Author_Institution
    Dept. of Comput. Sci., Rutgers Univ., USA
  • fYear
    2004
  • fDate
    17-18 May 2004
  • Firstpage
    284
  • Lastpage
    285
  • Abstract
    We report on our efforts to formulate autonomic network repair as a reinforcement-learning problem. Our implemented system is able to learn to efficiently restore network connectivity after a failure.
  • Keywords
    computer networks; fault tolerance; learning (artificial intelligence); telecommunication network management; autonomic network repair; network connectivity; reinforcement learning; Computer science; Cost function; Decision making; Dynamic programming; Fault diagnosis; Learning; Performance evaluation; Power system restoration; Process planning; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomic Computing, 2004. Proceedings. International Conference on
  • Print_ISBN
    0-7695-2114-2
  • Type

    conf

  • DOI
    10.1109/ICAC.2004.1301380
  • Filename
    1301380
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3019531