Discovering hidden structure in factored MDPs

Artif. Intell., pp. 19-47, 2012.

Cited by: 15|Bibtex|Views34|DOI:https://doi.org/10.1016/j.artint.2012.05.002
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com|www.sciencedirect.com

Abstract:

Markov Decision Processes (MDPs) describe a wide variety of planning scenarios ranging from military operations planning to controlling a Mars rover. However, today@?s solution techniques scale poorly, limiting MDPs@? practical applicability. In this work, we propose algorithms that automatically discover and exploit the hidden structure ...More

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