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    ICML
    2010
    IEEE
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    Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
    13 years 5 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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