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#pragma once
#include "storm/models/sparse/Mdp.h"
#include "storm/models/sparse/StandardRewardModel.h"
namespace storm {
namespace models {
namespace sparse {
/*!
* This class represents a partially observable Markov decision process.
*/
template<class ValueType, typename RewardModelType = StandardRewardModel <ValueType>>
class Pomdp : public Mdp<ValueType, RewardModelType> {
public:
/*!
* Constructs a model from the given data.
*
* @param transitionMatrix The matrix representing the transitions in the model.
* @param stateLabeling The labeling of the states.
* @param rewardModels A mapping of reward model names to reward models.
*/
Pomdp(storm::storage::SparseMatrix<ValueType> const &transitionMatrix,
storm::models::sparse::StateLabeling const &stateLabeling,
std::unordered_map <std::string, RewardModelType> const &rewardModels = std::unordered_map<std::string, RewardModelType>());
/*!
* Constructs a model by moving the given data.
*
* @param transitionMatrix The matrix representing the transitions in the model.
* @param stateLabeling The labeling of the states.
* @param rewardModels A mapping of reward model names to reward models.
*/
Pomdp(storm::storage::SparseMatrix<ValueType> &&transitionMatrix,
storm::models::sparse::StateLabeling &&stateLabeling,
std::unordered_map <std::string, RewardModelType> &&rewardModels = std::unordered_map<std::string, RewardModelType>());
/*!
* Constructs a model from the given data.
*
* @param components The components for this model.
*/
Pomdp(storm::storage::sparse::ModelComponents<ValueType, RewardModelType> const &components);
Pomdp(storm::storage::sparse::ModelComponents<ValueType, RewardModelType> &&components);
Pomdp(Pomdp <ValueType, RewardModelType> const &other) = default;
Pomdp &operator=(Pomdp <ValueType, RewardModelType> const &other) = default;
Pomdp(Pomdp <ValueType, RewardModelType> &&other) = default;
Pomdp &operator=(Pomdp <ValueType, RewardModelType> &&other) = default;
virtual void printModelInformationToStream(std::ostream& out) const override;
protected:
// TODO: consider a bitvector based presentation (depending on our needs).
std::vector<uint32_t> observations;
uint64_t nrObservations;
void computeNrObservations();
};
}
}
}