Mdp::ApproximatedFunction Class Reference

#include <approximatedFunction.h>

Inheritance diagram for Mdp::ApproximatedFunction:

Public Member Functions
	ApproximatedFunction (size_t inputSize, size_t outputSize, size_t paramSize)
virtual std::vector< double >	getParamVector ()
virtual std::vector< double >	getOutput (std::vector< double > input)=0
virtual void	learnExample (std::vector< double > input, std::vector< double > output)=0
virtual void	updateParameters (double coeff)=0
virtual double	getValue (state_t state, action_t action)=0
virtual std::vector< double >	getValues (state_t state)=0
virtual void	setAlpha (double alpha)=0

Protected Attributes
size_t	inputSize {0}
size_t	outputSize {0}
size_t	paramSize {0}
std::vector< double >	params

Detailed Description

Definition at line 23 of file approximatedFunction.h.

Constructor & Destructor Documentation

ApproximatedFunction::ApproximatedFunction	(	size_t	inputSize,
		size_t	outputSize,
		size_t	paramSize
	)

Definition at line 15 of file approximatedFunction.cpp.

Member Function Documentation

virtual std::vector<double> Mdp::ApproximatedFunction::getOutput ( std::vector< double >  input )

pure virtual

Implemented in Mdp::PolynomialNetwork.

std::vector< double > ApproximatedFunction::getParamVector ( )

virtual

Reimplemented in Mdp::PolynomialNetwork.

Definition at line 23 of file approximatedFunction.cpp.

virtual double Mdp::ApproximatedFunction::getValue ( state_t  state, action_t  action  )

pure virtual

Get the action value for a given state and action

Implements Mdp::ActionValuesFunction.

Implemented in Mdp::PolynomialNetwork.

virtual std::vector<double> Mdp::ApproximatedFunction::getValues ( state_t  state )

pure virtual

Get the vector of action values for all actions for a given state

Implements Mdp::ActionValuesFunction.

Implemented in Mdp::PolynomialNetwork.

virtual void Mdp::ApproximatedFunction::learnExample ( std::vector< double >  input, std::vector< double >  output  )

pure virtual

Implemented in Mdp::PolynomialNetwork.

virtual void Mdp::ApproximatedFunction::setAlpha ( double  alpha )

pure virtual

Implemented in Mdp::PolynomialNetwork.

virtual void Mdp::ApproximatedFunction::updateParameters ( double  coeff )

pure virtual

Implemented in Mdp::PolynomialNetwork.

Member Data Documentation

size_t Mdp::ApproximatedFunction::inputSize {0}

protected

Definition at line 35 of file approximatedFunction.h.

size_t Mdp::ApproximatedFunction::outputSize {0}

protected

Definition at line 36 of file approximatedFunction.h.

std::vector<double> Mdp::ApproximatedFunction::params

protected

Definition at line 38 of file approximatedFunction.h.

size_t Mdp::ApproximatedFunction::paramSize {0}

protected

Definition at line 37 of file approximatedFunction.h.

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The documentation for this class was generated from the following files:

• src/mdp/learning/reinforcementLearning/actionValuesFunction/approximatedFunction.h
• src/mdp/learning/reinforcementLearning/actionValuesFunction/approximatedFunction.cpp