fmdpLearner.h

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 *       - Christophe GONZALES(_at_AMU)                                     *
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 *       - Pierre-Henri WUILLEMIN(_at_LIP6)                                 *
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// =========================================================================
#ifndef GUM_FMDP_LEARNER_H
#define GUM_FMDP_LEARNER_H
// =========================================================================
// =========================================================================
#include <agrum/FMDP/learning/datastructure/imddi.h>
#include <agrum/FMDP/learning/datastructure/iti.h>
#include <agrum/FMDP/SDyna/Strategies/ILearningStrategy.h>
 
// =========================================================================
// =========================================================================
 
namespace gum {

 
  template < TESTNAME    VariableAttributeSelection,
             TESTNAME    RewardAttributeSelection,
             LEARNERNAME LearnerSelection >
  class FMDPLearner: public ILearningStrategy {
    using VariableLearnerType =
        typename LearnerSelect< LearnerSelection,
                                IMDDI< VariableAttributeSelection, false >,
                                ITI< VariableAttributeSelection, false > >::type;
 
    using RewardLearnerType = typename LearnerSelect< LearnerSelection,
                                                      IMDDI< RewardAttributeSelection, true >,
                                                      ITI< RewardAttributeSelection, true > >::type;
 
    using VarLearnerTable = HashTable< const DiscreteVariable*, VariableLearnerType* >;
 
    public:
    // ==========================================================================
    // ==========================================================================
 
    // ###################################################################
    // ###################################################################
    FMDPLearner(double learningThreshold, bool actionReward, double similarityThreshold = 0.05);
 
    // ###################################################################
    // ###################################################################
    ~FMDPLearner() override;

 
    // ###################################################################
    // ###################################################################
 
    public:
    // ==========================================================================
    // ==========================================================================
    void initialize(FMDP< double >* fmdp) override;
 
    // ==========================================================================
    // ==========================================================================
    MultiDimFunctionGraph< double >* _instantiateFunctionGraph_();
 
    MultiDimFunctionGraph< double >* _instantiateFunctionGraph_(Int2Type< IMDDILEARNER >);
 
    MultiDimFunctionGraph< double >* _instantiateFunctionGraph_(Int2Type< ITILEARNER >);
 
    // ==========================================================================
    // ==========================================================================
    VariableLearnerType* _instantiateVarLearner_(MultiDimFunctionGraph< double >* target,
                                                 gum::VariableSet&                mainVariables,
                                                 const DiscreteVariable*          learnedVar);
 
    VariableLearnerType* _instantiateVarLearner_(MultiDimFunctionGraph< double >* target,
                                                 gum::VariableSet&                mainVariables,
                                                 const DiscreteVariable*          learnedVar,
                                                 Int2Type< IMDDILEARNER >);
 
    VariableLearnerType* _instantiateVarLearner_(MultiDimFunctionGraph< double >* target,
                                                 gum::VariableSet&                mainVariables,
                                                 const DiscreteVariable*          learnedVar,
                                                 Int2Type< ITILEARNER >);
 
    // ==========================================================================
    // ==========================================================================
    RewardLearnerType* _instantiateRewardLearner_(MultiDimFunctionGraph< double >* target,
                                                  gum::VariableSet&                mainVariables);
 
    RewardLearnerType* _instantiateRewardLearner_(MultiDimFunctionGraph< double >* target,
                                                  gum::VariableSet&                mainVariables,
                                                  Int2Type< IMDDILEARNER >);
 
    RewardLearnerType* _instantiateRewardLearner_(MultiDimFunctionGraph< double >* target,
                                                  gum::VariableSet&                mainVariables,
                                                  Int2Type< ITILEARNER >);

 
 
    // ###################################################################
    // ###################################################################
 
    public:
    // ==========================================================================
    // ==========================================================================
    bool addObservation(Idx actionId, const Observation* obs) override;
 
 
    // ==========================================================================
    // ==========================================================================
    void updateFMDP() override;

 
 
    // ###################################################################
    // ###################################################################
 
    public:
    // ==========================================================================
    // ==========================================================================
    Size size() override;
 
    // ==========================================================================
    // ==========================================================================
    const IVisitableGraphLearner* varLearner(Idx                     actionId,
                                             const DiscreteVariable* var) const override;
 
    double rMax() const override;
 
    private:
    double _rmax_;
 
    public:
    double modaMax() const override;
 
    private:
    double _modaMax_;

 
 
    private:
    FMDP< double >* _fmdp_;
 
    HashTable< Idx, VarLearnerTable* > _actionLearners_;
 
    bool                                 _actionReward_;
    HashTable< Idx, RewardLearnerType* > _actionRewardLearners_;
    RewardLearnerType*                   _rewardLearner_;
 
    const double _learningThreshold_;
    const double _similarityThreshold_;
  };
 
 
} /* namespace gum */
 
#include <agrum/FMDP/learning/fmdpLearner_tpl.h>
 
#endif   // GUM_FMDP_LEARNER_H