[PDF.70ho] Learning Representation and Control in Markov Decision Processes (Foundations and Trends(r) in Machine Learning)

Learning Representation and Control in Markov Decision Processes (Foundations and Trends(r) in Machine Learning)

[PDF.zq25] Learning Representation and Control in Markov Decision Processes (Foundations and Trends(r) in Machine Learning)

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 | #9389093 in Books |  2009-06-02 | Original language:English | PDF # 1 |  9.21 x.39 x6.14l,.59 | File type: PDF | 184 pages

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||About the Author|University of Massachusetts, Amherst

Learning Representation and Control in Markov Decision Processes describes methods for automatically compressing Markov decision processes (MDPs) by learning a low-dimensional linear approximation defined by an orthogonal set of basis functions. A unique feature of the text is the use of Laplacian operators, whose matrix representations have non-positive off-diagonal elements and zero row sums. The generalized inverses of Laplacian operators, in particular the Drazin inv...

You can specify the type of files you want, for your gadget.Learning Representation and Control in Markov Decision Processes (Foundations and Trends(r) in Machine Learning)   |  Sridhar Mahadevan.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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