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Contingent planning under uncertainty via stochastic satisfiability
Artificial Intelligence, no. 1 (2003): 549-556
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We describe two new probabilistic planning techniques-- c-MAXPLAN and ZANDER--that generate contingent plans in probabilistic propositional domains. Both operate by transforming the planning problem into a stochastic satisfiability problem and solving that problem instead. C-MAXPLAN encodes the problem as an E-MAJSAT instance, while ZANDE...More
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