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145
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ICML
2010
IEEE
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Machine Learning
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ICML 2010
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Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes
15 years 4 months ago
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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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