Abstract
In this paper, we present an Action-based Learning algorithm making the use of the feedforward and feedback controls. The modern control theory gives us a new interpretation of an artificial intelligence. Our learning algorithm contains the feedforward procedure where we can iteratively improve our behavior better than before, and feedback procedure where we can reject any kind of disturbances that might be met. Some experiment results on an inverted pendulum are reported in order to illustrate the usefulness of our learning algorithm.
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