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Computer Science - Artificial Intelligence | Universal Artificial Intelligence - Sequential Decisions Based on Algorithmic Probability (Authors and Editors)

Universal Artificial Intelligence

Sequential Decisions Based on Algorithmic Probability

Hutter, Marcus

2005, XX, 278 p.

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Marcus Hutter received his masters in computer sciences in 1992 at the Technical University in Munich, Germany. After his PhD in theoretical particle physics he developed algorithms in a medical software company for 5 years. For four years he has been working as a researcher at the AI institute IDSIA in Lugano, Switzerland. His current interests are centered around reinforcement learning, algorithmic information theory and statistics, universal induction schemes, adaptive control theory, and related areas.

IDSIA (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale) is a non-profit oriented research institute for artificial intelligence, affiliated with both the University of Lugano and SUPSI. It focusses on machine learning (artificial neural networks, reinforcement learning), optimal universal artificial intelligence and optimal rational agents, operations research, complexity theory, and robotics. In Business Week's "X-Lab Survey" IDSIA was ranked in fourth place in the category "Computer Science - Biologically Inspired", after much larger institutions. IDSIA also ranked in the top 10 of the broader category "Artificial Intelligence."

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  • Universal Artificial Intelligence
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    Universal Artificial Intelligence

    Sequential Decisions Based on Algorithmic Probability

    Series: Texts in Theoretical Computer Science. An EATCS Series

    Hutter, Marcus 2005

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    Algorithmic Learning Theory

    18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, Proceedings

    Series: Lecture Notes in Computer Science, Vol. 4754

    Subseries: Lecture Notes in Artificial Intelligence

    Hutter, Marcus, Servedio, Rocco A., Takimoto, Eiji (Eds.) 2007

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    ISBN 978-3-540-75225-7
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    Algorithmic Learning Theory

    21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings

    Series: Lecture Notes in Computer Science, Vol. 6331

    Subseries: Lecture Notes in Artificial Intelligence

    Hutter, M., Stephan, F., Vovk, V., Zeugmann, Th. (Eds.) 2010

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  • Recent Advances in Reinforcement Learning
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    Recent Advances in Reinforcement Learning

    9th European Workshop, EWRL 2011, Athens, Greece, September 9-11, 2011, Revised and Selected Papers

    Series: Lecture Notes in Computer Science, Vol. 7188

    Subseries: Lecture Notes in Artificial Intelligence

    Sanner, Scott, Hutter, Marcus (Eds.) 2012

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    ISBN 978-3-642-29946-9
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