Hamid berenji biography of christopher

Hamid Berenji of Ames' Computa- tional Sciences Division (Code IC) has been elected as a Fellow of the Institute of Electri- cal and.

  • Hamid Berenji of Ames' Computa- tional Sciences Division (Code IC) has been elected as a Fellow of the Institute of Electri- cal and.
  • Hamid Berenji.
  • The goal of the paper is to provide a brief overview of the possibility of incorporating expert knowledge into fuzzy reinforcement learning.
  • In each episode, we use fuzzy logic (Berenji and Khedkar, 1992) (Hüllermeier, 2005) to quantify each action's compliance to the given policy.
  • Hamid R. Berenji.

    • The goal of the paper is to provide a brief overview of the possibility of incorporating expert knowledge into fuzzy reinforcement learning..

    ‿Berenji, H.R.,UAV Training, World Conference on Soft Computing, San Francisco,CA 2011.

    ‿Berenji, H.

    R., SBIR Phase I Final Report of the Air Force SBIR (207), 2011.

    ‿Berenji, H. R., SBIR Phase I Final Report of the Air Force SBIR.( 208), 2011.

    ‿Berenji, HR., M. Jmshidi, Fuzzy Reinforcement Learning In System of Systems, FUZZ-IEEE, Taiwan, June 2011.

    ‿Berenji, H.

    R., A tribute to Lotfi Zadeh on his 90th Birthday, Scientifica Iranica, 2011.

    ‿Berenji, H. R., A tribute to Lotfi Zadeh on his 90th Birthday, FikretAliev, 2011.

    ‿Berenji, H.R., Maryam Naghibzadeh, Fuzzy Reinforcement Learning for System Of Systems (SOS), Space Systems, Pasadena, CA, 2009.

    ‿H.

    Berenji, Y. Wang, “Case-Based Reasoning for Fault Diagnosis and Prognosis‿ FUZZ-IEEE, Vancouver, Canada, July 2006.

    ‿H. Berenji, Y. Wang, “Wavelet Neural Networks for Fault Diagnosis and Prognosis‿ FUZZ-IEEE, Vancouver, Canada, July 2006.

    ‿H.

    Berenji, Y. Wang, A. Saxena, “Dynamic Case Based Reasoning in Fault Diagnos