aGrUM 3.2.0
a C++ library for (probabilistic) graphical models
gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > Member List

This is the complete list of members for gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >, including all inherited members.

_actionLearners_gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >private
_actionReward_gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >private
_actionRewardLearners_gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >private
_fmdp_gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >private
_instantiateFunctionGraph_()gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
_instantiateFunctionGraph_(Int2Type< IMDDILEARNER >)gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
_instantiateFunctionGraph_(Int2Type< ITILEARNER >)gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
_instantiateRewardLearner_(MultiDimFunctionGraph< double > *target, gum::VariableSet &mainVariables)gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
_instantiateRewardLearner_(MultiDimFunctionGraph< double > *target, gum::VariableSet &mainVariables, Int2Type< IMDDILEARNER >)gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
_instantiateRewardLearner_(MultiDimFunctionGraph< double > *target, gum::VariableSet &mainVariables, Int2Type< ITILEARNER >)gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
_instantiateVarLearner_(MultiDimFunctionGraph< double > *target, gum::VariableSet &mainVariables, const DiscreteVariable *learnedVar)gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
_instantiateVarLearner_(MultiDimFunctionGraph< double > *target, gum::VariableSet &mainVariables, const DiscreteVariable *learnedVar, Int2Type< IMDDILEARNER >)gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
_instantiateVarLearner_(MultiDimFunctionGraph< double > *target, gum::VariableSet &mainVariables, const DiscreteVariable *learnedVar, Int2Type< ITILEARNER >)gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
_learningThreshold_gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >private
_modaMax_gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >private
_rewardLearner_gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >private
_rmax_gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >private
_similarityThreshold_gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >private
addObservation(Idx actionId, const Observation *obs) overridegum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >virtual
FMDPLearner(double learningThreshold, bool actionReward, double similarityThreshold=0.05)gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
initialize(FMDP< double > *fmdp) overridegum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >virtual
modaMax() const overridegum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >virtual
RewardLearnerType typedefgum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >private
rMax() const overridegum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >virtual
size() overridegum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >virtual
updateFMDP() overridegum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >virtual
VariableLearnerType typedefgum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >private
varLearner(Idx actionId, const DiscreteVariable *var) const overridegum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >virtual
VarLearnerTable typedefgum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >private
~FMDPLearner() overridegum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection >
~ILearningStrategy()=defaultgum::ILearningStrategyvirtual