Sequential Decision Making in Computational Sustainability via Adaptive Submodularity

AI MAGAZINE, pp. 8-18, 2014.

Cited by: 11|Bibtex|Views9|DOI:https://doi.org/10.1609/aimag.v35i2.2526
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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Many problems in computational sustainability require making a sequence of decisions in complex, uncertain environments. Such problems are generally notoriously difficult. In this article, we review the recently discovered notion of adaptive submodularity, an intuitive diminishing returns condition that generalizes the classical notion of...More

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