reinforce_normal.hpp

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#ifndef MLPACK_METHODS_ANN_LAYER_REINFORCE_NORMAL_HPP
#define MLPACK_METHODS_ANN_LAYER_REINFORCE_NORMAL_HPP
 
#include <mlpack/prereqs.hpp>
 
namespace mlpack {
namespace ann  {
 
template <
    typename InputDataType = arma::mat,
    typename OutputDataType = arma::mat
>
class ReinforceNormal
{
 public:
  ReinforceNormal(const double stdev = 1.0);
 
  template<typename eT>
  void Forward(const arma::Mat<eT>& input, arma::Mat<eT>& output);
 
  template<typename DataType>
  void Backward(const DataType& input, const DataType& /* gy */, DataType& g);
 
  OutputDataType& OutputParameter() const { return outputParameter; }
  OutputDataType& OutputParameter() { return outputParameter; }
 
  OutputDataType& Delta() const { return delta; }
  OutputDataType& Delta() { return delta; }
 
  bool Deterministic() const { return deterministic; }
  bool& Deterministic() { return deterministic; }
 
  double Reward() const { return reward; }
  double& Reward() { return reward; }
 
  double StandardDeviation() const { return stdev; }
 
  template<typename Archive>
  void serialize(Archive& ar, const unsigned int /* version */);
 
 private:
  double stdev;
 
  double reward;
 
  OutputDataType delta;
 
  OutputDataType outputParameter;
 
  std::vector<arma::mat> moduleInputParameter;
 
  bool deterministic;
}; // class ReinforceNormal
 
} // namespace ann
} // namespace mlpack
 
// Include implementation.
#include "reinforce_normal_impl.hpp"
 
#endif