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» A New Approach to Conformant Planning Using CNF*
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CRV
2011
IEEE
352views Robotics» more  CRV 2011»
12 years 5 months ago
Conformative Filter: A Probabilistic Framework for Localization in Reduced Space
— Algorithmic problem reduction is a fundamental approach to problem solving in many fields, including robotics. To solve a problem using this scheme, we must reduce the problem...
Chatavut Viriyasuthee, Gregory Dudek
CAEPIA
2005
Springer
13 years 11 months ago
Mapping Conformant Planning into SAT Through Compilation and Projection
Conformant planning is a variation of classical AI planning where the initial state is partially known and actions can have nondeterministic effects. While a classical plan must a...
Héctor Palacios, Hector Geffner
DATE
2009
IEEE
85views Hardware» more  DATE 2009»
14 years 6 days ago
Faster SAT solving with better CNF generation
Boolean satisfiability (SAT) solving has become an enabling technology with wide-ranging applications in numerous disciplines. These applications tend to be most naturally encode...
Benjamin Chambers, Panagiotis Manolios, Daron Vroo...
AIPS
2006
13 years 6 months ago
Combining Knowledge Compilation and Search for Conformant Probabilistic Planning
We present a new algorithm for conformant probabilistic planning, which for a given horizon produces a plan that maximizes the probability of success under quantified uncertainty ...
Jinbo Huang
ICCS
2009
Springer
13 years 3 months ago
A Population-Based Approach for Diversified Protein Loop Structure Sampling
Protein loop structure modeling is regarded as a mini protein folding problem with significant scientific importance. Efficiently sampling the loop conformation space is a key step...
Yaohang Li