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    JCP
    2007
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    Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
    13 years 11 months ago
    Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization
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    Abstract— We describe a general method to transform a non-Markovian sequential decision problem into a supervised learning problem using a K-bestpaths algorithm. We consider an a...
    Nicolas Chapados, Yoshua Bengio
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