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    ECML
    2005
    Springer
    143views Machine Learning» more  ECML 2005»
    Active Learning in Partially Observable Markov Decision Processes
    14 years 5 months ago
    Active Learning in Partially Observable Markov Decision Processes
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    This paper examines the problem of finding an optimal policy for a Partially Observable Markov Decision Process (POMDP) when the model is not known or is only poorly specified. W...
    Robin Jaulmes, Joelle Pineau, Doina Precup
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