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Learning Representation and Control in Markov Decision Processes

- New Frontiers

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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  • Språk:
  • Engelska
  • ISBN:
  • 9781601982384
  • Format:
  • Häftad
  • Sidor:
  • 184
  • Utgiven:
  • 2 Juni 2009
  • Mått:
  • 157x233x10 mm.
  • Vikt:
  • 256 g.
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Leveranstid: 2-4 veckor
Förväntad leverans: 29 Oktober 2024

Beskrivning av 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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