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Learning Representation and Control in Markov Decision Processes

- New Frontiers

af Sridhar Mahadaven

indgår i Foundations and Trends (R) in Machine Learning serien

Learning Representation and Control in Markov Decision Processes af Sridhar Mahadaven
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.
  • 16. januar 2025
Forlænget returret til d. 31. januar 2025
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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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