Abstract
A teaching method to accelerate the reinforcement learning and tuning of fuzzy rules is presented. The method condenses a human expert's experience into a little pieces of knowledge, and guides the fuzzy rule learning process with such knowledge. Compared to the learning method without teaching, the learning rate is increased about one order by this method.
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