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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 10 months ago
    Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
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    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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