| _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 > | inline |
| _instantiateFunctionGraph_(Int2Type< IMDDILEARNER >) | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | inline |
| _instantiateFunctionGraph_(Int2Type< ITILEARNER >) | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | inline |
| _instantiateRewardLearner_(MultiDimFunctionGraph< double > *target, Set< const DiscreteVariable * > &mainVariables) | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | inline |
| _instantiateRewardLearner_(MultiDimFunctionGraph< double > *target, Set< const DiscreteVariable * > &mainVariables, Int2Type< IMDDILEARNER >) | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | inline |
| _instantiateRewardLearner_(MultiDimFunctionGraph< double > *target, Set< const DiscreteVariable * > &mainVariables, Int2Type< ITILEARNER >) | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | inline |
| _instantiateVarLearner_(MultiDimFunctionGraph< double > *target, Set< const DiscreteVariable * > &mainVariables, const DiscreteVariable *learnedVar) | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | inline |
| _instantiateVarLearner_(MultiDimFunctionGraph< double > *target, Set< const DiscreteVariable * > &mainVariables, const DiscreteVariable *learnedVar, Int2Type< IMDDILEARNER >) | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | inline |
| _instantiateVarLearner_(MultiDimFunctionGraph< double > *target, Set< const DiscreteVariable * > &mainVariables, const DiscreteVariable *learnedVar, Int2Type< ITILEARNER >) | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | inline |
| _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) | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | virtual |
| FMDPLearner(double learningThreshold, bool actionReward, double similarityThreshold=0.05) | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | |
| initialize(FMDP< double > *fmdp) | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | virtual |
| modaMax() const | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | inlinevirtual |
| RewardLearnerType typedef | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | private |
| rMax() const | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | inlinevirtual |
| size() | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | virtual |
| updateFMDP() | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | virtual |
| VariableLearnerType typedef | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | private |
| varLearner(Idx actionId, const DiscreteVariable *var) const | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | inlinevirtual |
| VarLearnerTable typedef | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | private |
| ~FMDPLearner() | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | |
| ~ILearningStrategy() | gum::ILearningStrategy | inlinevirtual |
