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aGrUM
0.16.0
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aGrUM
0.16.0
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This is the complete list of members for gum::SDYNA, including all inherited members.
| __actionReward | gum::SDYNA | private |
| __bin | gum::SDYNA | private |
| __decider | gum::SDYNA | private |
| __lastAction | gum::SDYNA | private |
| __learner | gum::SDYNA | private |
| __nbObservation | gum::SDYNA | private |
| __nbValueIterationStep | gum::SDYNA | private |
| __observationPhaseLenght | gum::SDYNA | private |
| __planer | gum::SDYNA | private |
| _fmdp | gum::SDYNA | protected |
| _lastState | gum::SDYNA | protected |
| _verbose | gum::SDYNA | private |
| addAction(const Idx actionId, const std::string &actionName) | gum::SDYNA | inline |
| addVariable(const DiscreteVariable *var) | gum::SDYNA | inline |
| feedback(const Instantiation &originalState, const Instantiation &reachedState, Idx performedAction, double obtainedReward) | gum::SDYNA | |
| feedback(const Instantiation &reachedState, double obtainedReward) | gum::SDYNA | |
| initialize() | gum::SDYNA | |
| initialize(const Instantiation &initialState) | gum::SDYNA | |
| learnerSize() | gum::SDYNA | inline |
| makePlanning(Idx nbStep) | gum::SDYNA | |
| modelSize() | gum::SDYNA | inline |
| optimalPolicy2String() | gum::SDYNA | inline |
| optimalPolicySize() | gum::SDYNA | inline |
| RandomMDDInstance(double attributeSelectionThreshold=0.99, double similarityThreshold=0.3, double discountFactor=0.9, double epsilon=1, Idx observationPhaseLenght=100, Idx nbValueIterationStep=10) | gum::SDYNA | inlinestatic |
| RandomTreeInstance(double attributeSelectionThreshold=0.99, double discountFactor=0.9, double epsilon=1, Idx observationPhaseLenght=100, Idx nbValueIterationStep=10) | gum::SDYNA | inlinestatic |
| RMaxMDDInstance(double attributeSelectionThreshold=0.99, double similarityThreshold=0.3, double discountFactor=0.9, double epsilon=1, Idx observationPhaseLenght=100, Idx nbValueIterationStep=10) | gum::SDYNA | inlinestatic |
| RMaxTreeInstance(double attributeSelectionThreshold=0.99, double discountFactor=0.9, double epsilon=1, Idx observationPhaseLenght=100, Idx nbValueIterationStep=10) | gum::SDYNA | inlinestatic |
| SDYNA(ILearningStrategy *learner, IPlanningStrategy< double > *planer, IDecisionStrategy *decider, Idx observationPhaseLenght, Idx nbValueIterationStep, bool actionReward, bool verbose=true) | gum::SDYNA | private |
| setCurrentState(const Instantiation ¤tState) | gum::SDYNA | inline |
| spimddiInstance(double attributeSelectionThreshold=0.99, double similarityThreshold=0.3, double discountFactor=0.9, double epsilon=1, Idx observationPhaseLenght=100, Idx nbValueIterationStep=10) | gum::SDYNA | inlinestatic |
| spitiInstance(double attributeSelectionThreshold=0.99, double discountFactor=0.9, double epsilon=1, Idx observationPhaseLenght=100, Idx nbValueIterationStep=10) | gum::SDYNA | inlinestatic |
| takeAction(const Instantiation &curState) | gum::SDYNA | |
| takeAction() | gum::SDYNA | |
| toString() | gum::SDYNA | |
| valueFunctionSize() | gum::SDYNA | inline |
| ~SDYNA() | gum::SDYNA |