A B C D E F G H I L M N O P Q R S T U V W Z

N

name - Variable in class net.pakl.rl.Agent

name - Variable in class net.pakl.rl.ValueFunctionResidualAlgorithmPerceptron

name - Variable in class org.eyelanguage.rl.reading.SentenceWorld

net.pakl.rl - package 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 - package net.pakl.rl.maze

World and policy for a 2D problem with impassable obstacles.

netOutputRange - Variable in class org.eyelanguage.rl.reading.ReadingMain

For a neural network or function approximator, specifies the meaning of the maximal output and minimal output values.

next() - Method in class org.eyelanguage.rl.reading.SentenceWorld.StateIteratorIndividualist

nextWordLen - Variable in class org.eyelanguage.rl.reading.ReadingState

NonLearnedStateException - Exception in net.pakl.rl

An exception which is thrown from a ValueFunction when a state has not been learned and safety is on

NonLearnedStateException() - Constructor for exception net.pakl.rl.NonLearnedStateException

NonLearnedStateException(String) - Constructor for exception net.pakl.rl.NonLearnedStateException

NORMAL_READING_STATES - Static variable in class org.eyelanguage.rl.reading.ReadingStateFactory

normalize(double[]) - Static method in class net.pakl.rl.VectorTools

normalize(int[]) - Static method in class net.pakl.rl.VectorTools

notifyFinished(String) - Method in class net.pakl.rl.maze.MazeWizardFrame

notifyFinished(String) - Method in interface tools.IsAMonitor

numContextUnits - Variable in class net.pakl.rl.ValueFunctionResidualAlgorithmPatrykNetwork

numHiddenUnits - Static variable in class net.pakl.rl.maze.MazeMain

numPresynaptics - Variable in class net.pakl.rl.ValueFunctionResidualAlgorithmPerceptron