QFunction Class Reference

#include <QFunction.h>

Inheritance diagram for QFunction:

Collaboration diagram for QFunction:

Public Member Functions
	QFunction (GradientFunction *function, unsigned int observationDim, ActionProperties *actionProperties)
virtual	~QFunction ()
virtual void	init ()
	Initializes the function. More...
virtual unsigned int	nInputs () const
	Returns the number of inputs. More...
virtual unsigned int	nOutputs () const
	Returns the number of outputs. More...
virtual unsigned int	nParams () const
	Returns the number of parameters. More...
virtual void	setInput (int i, real x)
	Sets input i to value x. More...
virtual real	getOutput (int i) const
	Get output i. More...
virtual void	propagate ()
	Propagates inputs to outputs. More...
virtual void	backpropagate (real *outputError)
	Backpropagates the error, updating the derivatives. More...
virtual void	update ()
	Updates the weights according to the derivatives. More...
virtual void	save (XFile *file)
	Saves the model to a file. More...
virtual void	load (XFile *file)
	Loads the model from a file. More...
real	getValue (const Observation *observation, const Action *action)
void	getMaxAction (Action *dst, const Observation *observation, real *maxQ=0)
Public Member Functions inherited from GradientFunction
	GradientFunction ()
virtual	~GradientFunction ()
virtual void	clearDelta ()
	Clears the derivatives. More...
Public Member Functions inherited from Function
	Function ()
virtual	~Function ()
virtual void	setInputs (const real *input)
	Sets the value of the inputs. More...
virtual void	getOutputs (real *output) const
	Get the value of the outputs. More...

Public Attributes
GradientFunction *	function
real *	input
unsigned int	observationDim
ActionProperties *	actionProperties
Public Attributes inherited from GradientFunction
real *	weights
	The weights (parameters) of the gradient function. More...
real *	dWeights
	The derivatives of the weights. More...

Constructor & Destructor Documentation

QFunction::QFunction	(	GradientFunction *	function,
		unsigned int	observationDim,
		ActionProperties *	actionProperties
	)

QFunction::~QFunction ( )

virtual

Member Function Documentation

virtual void QFunction::backpropagate ( real *  outputError )

inlinevirtual

Backpropagates the error, updating the derivatives.

Implements GradientFunction.

void QFunction::getMaxAction	(	Action *	dst,
		const Observation *	observation,
		real *	maxQ = 0
	)

virtual real QFunction::getOutput ( int  i ) const

inlinevirtual

Get output i.

Implements Function.

real QFunction::getValue	(	const Observation *	observation,
		const Action *	action
	)

virtual void QFunction::init ( )

inlinevirtual

Initializes the function.

Reimplemented from Function.

virtual void QFunction::load ( XFile *  file )

inlinevirtual

Loads the model from a file.

Reimplemented from GradientFunction.

virtual unsigned int QFunction::nInputs ( ) const

inlinevirtual

Returns the number of inputs.

Implements Function.

virtual unsigned int QFunction::nOutputs ( ) const

inlinevirtual

Returns the number of outputs.

Implements Function.

virtual unsigned int QFunction::nParams ( ) const

inlinevirtual

Returns the number of parameters.

Implements GradientFunction.

virtual void QFunction::propagate ( )

inlinevirtual

Propagates inputs to outputs.

Implements Function.

virtual void QFunction::save ( XFile *  file )

inlinevirtual

Saves the model to a file.

Reimplemented from GradientFunction.

virtual void QFunction::setInput ( int  i, real  x  )

inlinevirtual

Sets input i to value x.

Implements Function.

virtual void QFunction::update ( )

inlinevirtual

Updates the weights according to the derivatives.

Implements GradientFunction.

Member Data Documentation

ActionProperties* QFunction::actionProperties

GradientFunction* QFunction::function

real* QFunction::input

unsigned int QFunction::observationDim

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

• src/qualia/rl/QFunction.h
• src/qualia/rl/QFunction.cpp