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Programming Languages and Systems

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We study the problem of off-policy value evaluation in reinforcement learning (RL), where one aims to estimate the value of a new policy based on data collected by a different policy. This problem is ...

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Anytime inference is inference performed incrementally, with the accuracy of the inference being controlled by a tunable parameter, usually time. Such anytime inference algorithms are also usually int...

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 An analysis of the problem of mass development of piece intelligence has been carried out. Direct scientific research related to the creation of differential models of piece intelligence has been ca...

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The U.S. military and intelligence community have shown interest in developing and deploying artificial intelligence (AI) systems to support intelligence analysis, both as an opportunity to leverage n...

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The influence of artificial intelligence (A.I) has played significant roles in the emerging world. Its applications have rapidly expanded even in the aerospace research, we can find influences of its ...

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The methodology of this study was to ask an artificial intelligence generator a series of questions about the contemporary climate change model and about historic comparable data. The answers revealed...

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LIBRARY OF CONGRESS COLLECTIONS POLICY STATEMENTS Computer Science, Telecommunication, and Artificial Intelligence (Classes QA75-76.9, TK5101-TK6720, TK7800-TK7895, and Q334-Q390) Contents I. Scope II...

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Cover of AI 2007 : advances in artificial intelligence : 20th Australian Joint Conference on Artificial Intel
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"Artificial intelligence (AI) is anticipated to be a key capability for enabling the U.S. military to maintain its military dominance. This report presents the results of a survey of software engineer...

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