A new nonlinear discretized learning automaton with rapid convergence and high accuracy

The authors present a learning automaton which they conjecture to be an epsilon -optimal variable-structure exponential discretized nonlinear reward-inaction automaton which has better speed of convergence and accuracy than previous discretized reward-inaction schemes. Simulation results are presented that demonstrate this conclusion.<
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