Examining the ϵ-optimality property of a tunable FSSA

  title={Examining the ϵ-optimality property of a tunable FSSA},
  author={A. H. Jamalian and Reza Iraji and A. R. Sefidpour and M. T. Manzuri-Shalmani},
  journal={6th IEEE International Conference on Cognitive Informatics},
In this paper, a new fixed structure learning automaton (FSSA), with a tuning parameter for amount of its rewards, is presented and its behavior in stationary environments will be studied. This new automaton is called TFSLA (tunable fixed structured learning automata). The proposed automaton characterizes by star shaped transition diagram and each branch of the star contains N states associated with a particular action. TFSLA is tunable, so that the automaton can receive reward flexibly, even… CONTINUE READING
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