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- W2329504845 abstract "Reinforcement schemes represent the basis of the learning process for stochastic learning automata, generating their learning behavior. An automaton using a reinforcement scheme can decide the best action, based on past actions and environment responses. The aim of this paper is to introduce a new reinforcement scheme for stochastic learning automata. We test our schema and compare with other nonlinear reinforcement schemes. The results reveal a faster convergence of the new schema to the optimal action." @default.
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- W2329504845 date "2010-05-29" @default.
- W2329504845 modified "2023-09-27" @default.
- W2329504845 title "A new nonlinear reinforcement scheme for stochastic learning automata" @default.
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