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On the learning behaviors of variable-structure stochastic automaton in the general n-teacher environment

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1 Author(s)
Norio Baba ; Information Sci. & Systems Engng., Tokushima Univ., Tokushima, Japan

Learning behaviors of a stochastic automaton operating in a multiteacher environment are considered. As a generalized form of the LR-I scheme, the GLR-I scheme is proposed as a reinforcement scheme in a multiteacher environment. It is shown that the GLR-I scheme is absolutely expedient and ϵ-optimal in the general n-teacher environment. Learning behaviors of the GLR-I scheme are simulated by computer and the results indicate the effectiveness of the GLR-I scheme.

Published in:

IEEE Transactions on Systems, Man, and Cybernetics  (Volume:SMC-13 ,  Issue: 2 )