1277 search results - page 149 / 256 » Terminating Decision Algorithms Optimally |
154
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JAIR
2008
15 years 3 months ago
2008
Probabilistic planning problems are typically modeled as a Markov Decision Process (MDP). MDPs, while an otherwise expressive model, allow only for sequential, non-durative action...
151
Voted
JAIR
2008
15 years 3 months ago
2008
Decision-theoretic planning is a popular approach to sequential decision making problems, because it treats uncertainty in sensing and acting in a principled way. In single-agent ...
138
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GLOBECOM
2008
IEEE
15 years 10 months ago
2008
IEEE
Abstract—Consider a communications system where the detector generates a mix of hard and soft outputs, which are then fed into a soft-input channel decoder. In such a setting, it...
154
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ICDCS
2010
IEEE
15 years 7 months ago
2010
IEEE
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
147
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EVOW
2006
Springer
15 years 7 months ago
2006
Springer
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...