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 uint32_t /* 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