A Comparison with Planning Under Uncertainty

Austin Parker*, Gerardo I. Simari, Amy Sliva, V. S. Subrahmanian

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter


In order to investigate how our approach to solving the proposed class of problems relates to traditional approaches such as planning under uncertainty, in this chapter we will propose and discuss a mapping between an instance of an OSCA problem and an instance of a Markov Decision Process. The ultimate goal is to show that optimal state change attempt problems can indeed be solved by applying techniques from the planning under uncertainty literature, but this approach will be ultimately impractical.

Original languageEnglish (US)
Title of host publicationSpringerBriefs in Computer Science
Number of pages5
StatePublished - 2014
Externally publishedYes

Publication series

NameSpringerBriefs in Computer Science
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776

ASJC Scopus subject areas

  • Computer Science(all)


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