| actionLearners__ | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | private |
| actionReward__ | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | private |
| actionRewardLearners__ | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | private |
| addObservation(Idx actionId, const Observation *obs) | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | virtual |
| fmdp__ | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | private |
| FMDPLearner(double learningThreshold, bool actionReward, double similarityThreshold=0.05) | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | |
| initialize(FMDP< double > *fmdp) | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | virtual |
| 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() const | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | inlinevirtual |
| modaMax__ | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | private |
| rewardLearner__ | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | private |
| RewardLearnerType typedef | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | private |
| rMax() const | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | inlinevirtual |
| rmax__ | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | private |
| similarityThreshold__ | gum::FMDPLearner< VariableAttributeSelection, RewardAttributeSelection, LearnerSelection > | private |
| 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 |
