aGrUM
0.20.3
a C++ library for (probabilistic) graphical models
Classes
Factored Markov Decision Process
Detailed Description
Classes
class
gum::LazyDecider
Class to make decision randomlyDoes nothing more than the interface for DecisionStrategy does.
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class
gum::RandomDecider
Class to make decision randomlyDoes nothing more than the interface for DecisionStrategy does.
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class
gum::StatisticalLazyDecider
<
agrum/FMDP/decision/statisticalLazyDecider.h
>
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class
gum::FMDP< GUM_SCALAR >
This class is used to implement factored decision process.
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class
gum::FMDPFactory< GUM_SCALAR >
A factory class to ease Factored Markov Decision Process construction.
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class
gum::AbstractFMDPFactory
A factory class to ease Factored Markov Decision Process construction.
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class
gum::FMDPReader< GUM_SCALAR >
Pure virtual class for reading a
FMDP
from a file.
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class
gum::ChiSquare
<agrum/FMDP/learning/core/testPolicy/chiSquare.h>
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class
gum::ContingencyTable< GUM_SCALAR_A, GUM_SCALAR_B >
<
agrum/FMDP/learning/core/contingencyTable.h
>
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class
gum::Chi2TestPolicy< GUM_SCALAR >
<agrum/tools/multidim/core/testPolicy/Chi2TestPolicy.h>
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class
gum::GTestPolicy< GUM_SCALAR >
<agrum/tools/multidim/core/testPolicies/GTestPolicy.h>
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class
gum::ITestPolicy< GUM_SCALAR >
<agrum/tools/multidim/core/testPolicies/ITestPolicy.h>
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class
gum::LeastSquareTestPolicy< GUM_SCALAR >
<agrum/tools/multidim/core/testPolicy/leastSquareTestPolicy.h>
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class
gum::IMDDI< AttributeSelection, isScalar >
class
gum::IncrementalGraphLearner< AttributeSelection, isScalar >
<agrum/FMDP/learning/datastructure/incrementalGraphLearner>
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class
gum::ITI< AttributeSelection, isScalar >
Learn a graphical representation of a function as a decision tree.
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class
gum::IVisitableGraphLearner
<agrum/FMDP/SDyna/IVisitableGraphLearner.h>
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class
gum::AbstractLeaf
<
agrum/FMDP/learning/datastructure/leaves/abstractLeaf.h
>
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class
gum::ComposedLeaf
<
agrum/FMDP/learning/datastructure/leaves/composedLeaf.h
>
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class
gum::ConcreteLeaf< AttributeSelection, isScalar >
<
agrum/FMDP/learning/datastructure/leaves/concreteLeaf.h
>
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class
gum::FusionContext< isInitial >
<
agrum/FMDP/learning/datastructure/leaves/fusionContext.h
>
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class
gum::LeafAggregator
<agrum/FMDP/learning/FunctionGraph/leafAggregator.h>
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class
gum::LeafPair
<
agrum/FMDP/learning/datastructure/leaves/leafPair.h
>
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class
gum::NodeDatabase< AttributeSelection, isScalar >
<
agrum/FMDP/learning/datastructure/nodeDatabase.h
>
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class
gum::VariableSelector
<agrum/FMDP/planning/FunctionGraph/variableselector.h>
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class
gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
class
gum::Observation
class
gum::ActionSet
A class to store the optimal actions.
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class
gum::AdaptiveRMaxPlaner
<
agrum/FMDP/planning/adaptiveRMaxPlaner.h
>
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class
gum::IOperatorStrategy< GUM_SCALAR >
<agrum/FMDP/SDyna/IOperatorStrategy.h>
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class
gum::MDDOperatorStrategy< GUM_SCALAR >
<
agrum/FMDP/planning/mddOperatorStrategy.h
>
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class
gum::StructuredPlaner< GUM_SCALAR >
<
agrum/FMDP/planning/structuredPlaner.h
>
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class
gum::TreeOperatorStrategy< GUM_SCALAR >
<
agrum/FMDP/planning/treeOperatorStrategy.h
>
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class
gum::SDYNA
The general SDyna architecture abstract class.
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class
gum::IDecisionStrategy
<agrum/FMDP/SDyna/IDecisionStrategy.h>
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class
gum::ILearningStrategy
<agrum/FMDP/SDyna/ILearningStrategy.h>
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class
gum::IPlanningStrategy< GUM_SCALAR >
<agrum/FMDP/SDyna/IPlanningStrategy.h>
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class
gum::AbstractSimulator
<
agrum/FMDP/simulation/abstractSimulator.h
>
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class
gum::FactorySimulator
A class to simulate the Factory problem.
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class
gum::FMDPSimulator
<
agrum/FMDP/simulation/fmdpSimulator.h
>
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class
gum::StatesChecker
<
agrum/FMDP/simulation/statesChecker.h
>
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class
gum::StatesCounter
<
agrum/FMDP/simulation/statesCounter.h
>
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class
gum::TaxiSimulator
A class to simulate the Taxi problem.
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