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132
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AMAI
2006
Springer
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Artificial Intelligence
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AMAI 2006
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Symmetric approximate linear programming for factored MDPs with application to constrained problems
15 years 2 months ago
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ai.stanford.edu
A weakness of classical Markov decision processes (MDPs) is that they scale very poorly due to the flat state-space representation. Factored MDPs address this representational pro...
Dmitri A. Dolgov, Edmund H. Durfee
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