Abstract
In this paper the control problem of a static system under incomplete information is discussed. A nonparametric control algorithm based on Classification and Regression Tree is proposed and evaluated for different task formulations: controlled inputs – one-dimensional output, controlled and observed uncontrolled inputs – one-dimensional output, controlled and observed uncontrolled inputs – multi-dimensional outputs.
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