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Keywords of academic papers are jargons shared within a research domain as well as a summary of the contents. However, the increasing popularity of the interdisciplinary research in academia in recent years opened a possibility that the choice of keywords would be no longer confined by the traditional domain boundaries. In order to investigate the evolutionary trends of keyword-sharing groups in academic...
This paper proposes a robot behavioral /spl mu/-selection method that maximizes a quantitative measure of languages in the discrete-event setting. This approach complements Q-learning (also called reinforcement learning) that has been widely used in behavioral robotics to learn primitive behaviors. While /spl mu/-selection assigns positive and negative weights to the marked states of a deterministic...
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