Uses of Interface
net.pakl.rl.HasVectorRepresentation

Packages that use HasVectorRepresentation

net.pakl.rl	These are the basic reinforcement learning model classes -- every reinforcement learning problem can be described (minimally) as a World (collection of states), Policy, ValueFunction, and Actions.
net.pakl.rl.maze	World and policy for a 2D problem with impassable obstacles.
org.eyelanguage.rl.reading	Code for the Adaptive Reading Agent; see ReadingMain for parameters and default values.

Uses of HasVectorRepresentation in net.pakl.rl

Methods in net.pakl.rl with parameters of type HasVectorRepresentation

protected double	ValueFunctionResidualAlgorithmPerceptron.getValue(HasVectorRepresentation state)
protected double	ValueFunctionResidualAlgorithmPatrykNetwork.getValue(HasVectorRepresentation state)
protected double	ValueFunctionResidualAlgorithmBairdPerceptron.getValue(HasVectorRepresentation state)
protected void	ValueFunctionResidualAlgorithmPerceptron.initializeNetworkForStatesOfType(HasVectorRepresentation thisStateObject)
protected void	ValueFunctionResidualAlgorithmPatrykNetwork.initializeNetworkForStatesOfType(HasVectorRepresentation thisStateObject)
protected void	ValueFunctionResidualAlgorithmBairdPerceptron.initializeNetworkForStatesOfType(HasVectorRepresentation thisStateObject)
protected void	ValueFunctionResidualAlgorithmPerceptron.setValue(HasVectorRepresentation thisStateObject, HasVectorRepresentation nextStateObject, double newValue, double discountFactor)
protected void	ValueFunctionResidualAlgorithmPatrykNetwork.setValue(HasVectorRepresentation thisStateObject, HasVectorRepresentation nextStateObject, double newValue, double discountFactor)
protected void	ValueFunctionResidualAlgorithmBairdPerceptron.setValue(HasVectorRepresentation thisStateObject, HasVectorRepresentation nextStateObject, double newValue, double discountFactor)

Uses of HasVectorRepresentation in net.pakl.rl.maze

Classes in net.pakl.rl.maze that implement HasVectorRepresentation

class

State2D This class represents a state which corresponds to a position in a two-dimensional World

Uses of HasVectorRepresentation in org.eyelanguage.rl.reading

Classes in org.eyelanguage.rl.reading that implement HasVectorRepresentation

class	ReadingState This class represents the State of a reading Agent -- scroll down to Field Detail to see more detailed on information for each dimension of the state.
class	ReadingStateParallelRelative In parallel states, we have to keep track of which words of the sentence have been identified already but for default compatability with earlier states we return information about the first word in the window for length, ID and whether the word is identified.
class	ReadingStateRelative Inherits from ReadingState, but several methods have been altered so that the model of the environment is word-centric instead of absolute in the sentence (this allows for generalization to new circumstances).