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    » Coarticulation in Markov Decision Processes
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    AAAI
    2004
    108views Intelligent Agents» more  AAAI 2004»
    Advice Generation from Observed Execution: Abstract Markov Decision Process Learning
    14 years 11 months ago
    Advice Generation from Observed Execution: Abstract Markov Decision Process Learning
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    Patrick Riley, Manuela M. Veloso
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    NIPS
    1997
    124views Information Technology» more  NIPS 1997»
    How to Dynamically Merge Markov Decision Processes
    14 years 11 months ago
    How to Dynamically Merge Markov Decision Processes
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    Satinder P. Singh, David Cohn
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    ICML
    2010
    IEEE
    223views Machine Learning» more  ICML 2010»
    Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
    14 years 11 months ago
    Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
    Download  anytime.cs.umass.edu
    Approximate dynamic programming has been used successfully in a large variety of domains, but it relies on a small set of provided approximation features to calculate solutions re...
    Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zi...
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    CORR
    2008
    Springer
    85views Education» more  CORR 2008»
    Feature Markov Decision Processes
    14 years 10 months ago
    Feature Markov Decision Processes
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    Marcus Hutter
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    FSS
    2006
    84views more  FSS 2006»
    A fuzzy approach to Markov decision processes with uncertain transition probabilities
    14 years 9 months ago
    A fuzzy approach to Markov decision processes with uncertain transition probabilities
    Download  www.math.s.chiba-u.ac.jp
    M. Kurano, M. Yasuda, J. Nakagami, Y. Yoshida
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