(Enter summary)
Abstract: of " Exploiting Structure for Planning and Control "
by Shieu-Hong Lin, Ph.D., Brown University, May 1997.
Thesis advisor Thomas L. Dean.
Discrete dynamical systems in the form of finite automata or Markov decision
processes have been used as a representational and computational foundation
for planning under uncertainty. Many AI planning problems can be conveniently
viewed as control problems over the underlying discrete dynamical systems. Using
AI-style representation, the features of... (Update)
Context of citations to this paper: More
.... progress has been made on understanding some very special cases where MDPs may be decomposed into independent subproblems (Singh, 1992; Lin, 1997), much of the effort has focused on methods that decompose MDPs into communicating subproblems (Bertsekas Tsitsiklis, 1989; Dean...
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BibTeX entry: (Update)
Lin, S.-H. (1997). Exploiting Structure for Planning and Control. Ph.D. thesis, Computer Science Department, Brown University, Providence, Rhode Island. http://citeseer.ist.psu.edu/lin97exploiting.html More
@techreport{ lin97exploiting,
author = "Shieu-Hong Lin and Thesis",
title = "Exploiting Structure for Planning and Control",
number = "CS-97-14",
year = "1997",
url = "citeseer.ist.psu.edu/lin97exploiting.html" }
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Documents on the same site (http://www.math.jussieu.fr/~fermigie/fermivista/ftp/ftp.cs.brown.edu.html): More
Indexing for Data Models with Constraints and Classes - Kanellakis, Ramaswamy.. (1993)
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Reinforcement Learning for Planning and Control - Dean, Basye, Shewchuk (1993)
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An Interactive 3D Toolkit for Constructing 3D Widgets - Zeleznik, Herndon..
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