burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.diffvinit

Class DifferentiableVInit.ParamedDiffVInit

java.lang.Object

burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.diffvinit.DifferentiableVInit.ParamedDiffVInit

All Implemented Interfaces:

DifferentiableVInit, ValueFunction, ValueFunctionInitialization

Direct Known Subclasses:

LinearStateDiffVF

Enclosing interface:

DifferentiableVInit

public abstract static class DifferentiableVInit.ParamedDiffVInit
extends java.lang.Object
implements DifferentiableVInit

A abstract class for DifferentiableVInit that includes a double array of parameters and methods to modify them.

Author:

James MacGlashan

Nested Class Summary

Nested classes/interfaces inherited from interface burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.diffvinit.DifferentiableVInit

DifferentiableVInit.ParamedDiffVInit

Nested classes/interfaces inherited from interface burlap.behavior.singleagent.ValueFunctionInitialization

ValueFunctionInitialization.ConstantValueFunctionInitialization

Field Summary

Fields

Modifier and Type	Field and Description
protected int	dim The parameter dimensionality
protected double[]	parameters The parameters of the reward functions.

Constructor Summary

Constructors

Constructor and Description
DifferentiableVInit.ParamedDiffVInit()

Method Summary

Methods

Modifier and Type	Method and Description
int	getParameterDimension() Returns the parameter dimensionality
double[]	getParameters() Returns the parameters of this reward function.
void	randomizeParameters(double lowerVal, double upperVal, java.util.Random rand) Randomizes the parameter values using the given random number generator.
void	setParameter(int i, double p) Sets the value of a given parameter.
void	setParameters(double[] parameters) Sets the parameters of this differentiable value function initialization

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.diffvinit.DifferentiableVInit

getQGradient, getVGradient

Methods inherited from interface burlap.behavior.singleagent.ValueFunctionInitialization

qValue

Methods inherited from interface burlap.behavior.singleagent.planning.ValueFunction

value

Field Detail

parameters

protected double[] parameters

The parameters of the reward functions.

dim

protected int dim

The parameter dimensionality

Constructor Detail

DifferentiableVInit.ParamedDiffVInit

public DifferentiableVInit.ParamedDiffVInit()

Method Detail

setParameters

public void setParameters(double[] parameters)

Sets the parameters of this differentiable value function initialization

Parameters:

parameters - the parameter values of this function

setParameter

public void setParameter(int i,
                double p)

Sets the value of a given parameter.

Parameters:

i - which parameter to set

p - the value of the parameter

getParameterDimension

public int getParameterDimension()

Returns the parameter dimensionality

Returns:

the parameter dimensionality

getParameters

public double[] getParameters()

Returns the parameters of this reward function. The parameters are *not* copied, so changes made externally to them affect this reward function.

Returns:

the parameters of this reward function

randomizeParameters

public void randomizeParameters(double lowerVal,
                       double upperVal,
                       java.util.Random rand)

Randomizes the parameter values using the given random number generator.

Parameters:

lowerVal - the lower parameter range value

upperVal - the upper parameter range value

rand - the random number generator to use