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This paper proposes a method for planning robot motions by integrating multiple knowledge that is effective in task achievement. The method efficiently obtains a new policy, which is a mapping from states to actions, on the basis of the knowledge presented in a state-action map. However, in some states, the applied knowledge fails to achieve a given task. In our method, the failing states are found...
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