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ECML
2005
Springer
14 years 3 months ago
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
Masoumeh T. Izadi, Doina Precup
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
14 years 3 months ago
Identifying Markov Blankets with Decision Tree Induction
The Markov Blanket of a target variable is the minimum conditioning set of variables that makes the target independent of all other variables. Markov Blankets inform feature selec...
Lewis Frey, Douglas H. Fisher, Ioannis Tsamardinos...
CP
1999
Springer
14 years 2 months ago
An Interval Constraint Approach to Handle Parametric Ordinary Differential Equations for Decision Support
The behaviour of many systems is naturally modelled by a set of ordinary differential equations (ODEs) which are parametric. Since decisions are often based on relations over these...
Jorge Cruz, Pedro Barahona
FROCOS
2000
Springer
14 years 1 months ago
Handling Differential Equations with Constraints for Decision Support
The behaviour of many systems is naturally modelled by a set of ordinary differential equations (ODEs) which are parametric. Since decisions are often based on relations over these...
Jorge Cruz, Pedro Barahona
AIPS
2008
14 years 14 days ago
Stochastic Planning with First Order Decision Diagrams
Dynamic programming algorithms have been successfully applied to propositional stochastic planning problems by using compact representations, in particular algebraic decision diag...
Saket Joshi, Roni Khardon