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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
    13 years 9 months ago
    Advice Generation from Observed Execution: Abstract Markov Decision Process Learning
    Download  www.cs.cmu.edu
    Patrick Riley, Manuela M. Veloso
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    NIPS
    1997
    124views Information Technology» more  NIPS 1997»
    How to Dynamically Merge Markov Decision Processes
    13 years 9 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
    13 years 8 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
    13 years 7 months ago
    Feature Markov Decision Processes
    Download  agi-conf.org
    Marcus Hutter
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    FSS
    2006
    84views more  FSS 2006»
    A fuzzy approach to Markov decision processes with uncertain transition probabilities
    13 years 7 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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