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Learning Representation and Control in Markov Decision Processes - Sridhar Mahadaven - Bog

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Bag om 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.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781601982384
  • Indbinding:
  • Paperback
  • Sideantal:
  • 184
  • Udgivet:
  • 2. juni 2009
  • Størrelse:
  • 157x233x10 mm.
  • Vægt:
  • 256 g.
  • 8-11 hverdage.
  • 6. december 2024

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  • BLACK NOVEMBER

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Beskrivelse af 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.

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