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《AERONAUTICAL COMPUTER TECHNIQUE》 1998-01
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A Self-Confident Learning Automaton

Liu Xiao(Aeronautics Computing Technique Research Institute, Xi'an 710068)  
In this paper, a model of the quadratic inaction-penalty variable structure stochastic automata, QIP, is presented. Compared with its linear counterpart (Lin),learning of the quadratic automaton is self-confident (and may also be, of cause, self-opinionated in some extremely bad cases). Especially, as opposed to the traditional automata, the limiting behavior of the proposed algorithm possesses both absorbing barriers and ergodicity.
【CateGory Index】: TP18
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【References】
Chinese Journal Full-text Database 1 Hits
1 Liu Xiao (Aeronautical Computing Technique Research Institute, Xi′an 710068);Quadratic Reward-Penalty Learning Automaton[J];AERONAUTICAL COMPUTER TECHNIQUE;1999-02
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