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    UAI
    1997
    84views Artificial Intelligence» more  UAI 1997»
    Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes
    15 years 7 months ago
    Incremental Pruning: A Simple, Fast, Exact Method for Partially Observable Markov Decision Processes
    Download  www.sci.brooklyn.cuny.edu
    Anthony R. Cassandra, Michael L. Littman, Nevin Li...
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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
    15 years 7 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
    15 years 6 months ago
    Feature Markov Decision Processes
    Download  agi-conf.org
    Marcus Hutter
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    AUTOMATICA
    2006
    81views more  AUTOMATICA 2006»
    The control of a two-level Markov decision process by time aggregation
    15 years 6 months ago
    The control of a two-level Markov decision process by time aggregation
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    Yat-wah Wan, Xi-Ren Cao
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    FSS
    2006
    84views more  FSS 2006»
    A fuzzy approach to Markov decision processes with uncertain transition probabilities
    15 years 6 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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