burlap.behavior.functionapproximation.dense

Interface DenseStateFeatures

All Known Implementing Classes:

ConcatenatedObjectFeatures, FourierBasis, NormalizedVariableFeatures, NumericVariableFeatures, PFFeatures, RBFFeatures, SparseToDenseFeatures

public interface DenseStateFeatures

Many functions approximation techniques require a fixed feature vector to work and in many cases, using abstract features from the state attributes is useful. This interface provides a means to take a BURLAP OO-MDP state and transform it into a feature vector represented as a double array so that these function approximation techniques may be used.

Author:

James MacGlashan

Method Summary

Modifier and Type	Method and Description
DenseStateFeatures	copy() Returns a copy of this DenseStateFeatures
double[]	features(State s) Returns a feature vector represented as a double array for a given input state.

Method Detail

features

double[] features(State s)

Returns a feature vector represented as a double array for a given input state.

Parameters:

s - the input state to turn into a feature vector.

Returns:

the feature vector represented as a double array.

copy

DenseStateFeatures copy()

Returns a copy of this DenseStateFeatures

Returns:

a copy of this DenseStateFeatures