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Within the context of Learning Automata (LA), great efforts have been made to deliver P-model automaton which accepts two values from the stochastic environment, i.e., reward or penalty. However, in many real life problems, the stochastic environments have more than two feedback choices. This paper aims at proposing a general approach for extending P-model Fixed Structure Stochastic Automata (FSSA)...
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