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G

GARBAGE_COLLECT_EVERY - Static variable in class org.eyelanguage.rl.reading.ReadingStateFactory
 
get(Object) - Method in class net.pakl.rl.HashMapDistributed
 
get(Object) - Method in class net.pakl.rl.HashMapFile
 
get(Object) - Method in class net.pakl.rl.HashMapRemote
 
get(long) - Method in class net.pakl.rl.Queue
get an object off of the front of the queue
get() - Method in class net.pakl.rl.Queue
 
get(Object) - Method in class net.pakl.rl.ZippedHashMap
 
getAllPossibleActions(State) - Method in class net.pakl.rl.ActionSet
This method returns a list of all possible actions an agent could take given a State.
getAllPossibleActions(State) - Method in class org.eyelanguage.rl.reading.ReadingPolicy
 
getAllPossibleActions(State) - Method in class org.eyelanguage.rl.reading.ReadingPolicyParallel
 
getAllStatesFromEyePosition(int) - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getAllStatesWhereAttendingWordAt(int) - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getATTEND_INTERVAL() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getAttendedIDColumns(String) - Method in class org.eyelanguage.rl.analysis.Extractor
 
getAttendedWordID() - Method in class org.eyelanguage.rl.reading.ReadingState
 
getAttendedWordID() - Method in class org.eyelanguage.rl.reading.ReadingStateParallelRelative
 
getAttendedWordLen() - Method in class org.eyelanguage.rl.reading.ReadingState
 
getAttendedWordLen() - Method in class org.eyelanguage.rl.reading.ReadingStateParallelRelative
 
getAttendedWordPredictability() - Method in class org.eyelanguage.rl.reading.ReadingState
Getter for property attendedWordPredictability.
getAttIDs(String) - Method in class org.eyelanguage.rl.analysis.Extractor
 
getAverageDelta() - Method in class net.pakl.rl.Agent
 
getBeginningOfAttWindow() - Method in class org.eyelanguage.rl.reading.ReadingStateParallelRelative
 
getBestActionForValueFrom(State, ValueFunction, ActionSet) - Method in class net.pakl.rl.Agent
This is a function which should probably be called more often to reduce duplicated code.
getCENTER_OF_ATTENTION() - Method in class org.eyelanguage.rl.reading.SentenceWorldParallel
 
getCenterOfAttentionID() - Method in class org.eyelanguage.rl.reading.ReadingStateParallelRelative
 
getCenterOfWord(Word) - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getCenterOfWord(int) - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getDeadendStates() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getDefaultReinforcement() - Method in class net.pakl.rl.ReinforcementFunction
 
getDeltaX() - Method in class net.pakl.rl.maze.Action2D
 
getDeltaY() - Method in class net.pakl.rl.maze.Action2D
 
getDiscountFactor() - Method in class net.pakl.rl.Agent
 
getDistanceFromAttendCenter() - Method in class org.eyelanguage.rl.reading.ReadingState
 
getEyePosition() - Method in class org.eyelanguage.rl.reading.ReadingState
 
getFixatedWordID() - Method in class org.eyelanguage.rl.reading.ReadingState
 
getFrequency() - Method in class org.eyelanguage.rl.reading.Word
 
getHost() - Method in class net.pakl.rl.HashMapRemote
 
getID() - Method in class org.eyelanguage.rl.reading.Word
 
getIdentificationTime() - Method in class org.eyelanguage.rl.reading.Word
 
getIdentifiedXs(String) - Method in class org.eyelanguage.rl.analysis.Extractor
 
getIsBuilt() - Method in class net.pakl.rl.maze.MazeWorld
 
getIsBuilt() - Method in interface net.pakl.rl.World
Allows you to determine if the world has been built yet or not.
getIsBuilt() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getKeySet() - Method in class net.pakl.rl.ValueFunctionHashMap
 
getKeySetIterator() - Method in class net.pakl.rl.ValueFunctionHashMap
 
getLength() - Method in class org.eyelanguage.rl.reading.Word
 
getMAX_ATTEND_TIME_WITH_PENALTIES() - Method in class org.eyelanguage.rl.reading.ReadingSet
 
getMAX_ATTEND_TIME_WITH_PENALTIES() - Method in class org.eyelanguage.rl.reading.SentenceWorld
Getter for property MAX_ATTEND_TIME_WITH_PENALTIES.
getMAX_POSSIBLE_ATTEND_TIME() - Method in class org.eyelanguage.rl.reading.ReadingSet
 
getMAX_POSSIBLE_ATTEND_TIME() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getMAX_POSSIBLE_ID_TIME() - Method in class org.eyelanguage.rl.reading.ReadingSet
 
getMAX_POSSIBLE_ID_TIME() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getMAX_SACCADE_PROG_TIME() - Method in class org.eyelanguage.rl.reading.ReadingSet
 
getMAX_SACCADE_PROG_TIME() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getMaximumDelta() - Method in class net.pakl.rl.Agent
 
getMaxSentenceLength() - Method in class org.eyelanguage.rl.reading.ReadingSet
 
getMaxWordLength() - Method in class org.eyelanguage.rl.reading.ReadingSet
 
getMIN_ATTEND_TIME_WITH_PENALTIES() - Method in class org.eyelanguage.rl.reading.ReadingSet
 
getMIN_ATTEND_TIME_WITH_PENALTIES() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getName() - Method in class net.pakl.rl.Agent
 
getName() - Method in class net.pakl.rl.maze.MazeWorld
 
getName() - Method in interface net.pakl.rl.ValueFunction
It is important for value functions to have names for the patchwork approach, so that states can identify to which value function patch they belong by the PolicyExtractor.
getName() - Method in class net.pakl.rl.ValueFunctionHashMap
 
getName() - Method in class net.pakl.rl.ValueFunctionPerceptron
 
getName() - Method in class net.pakl.rl.ValueFunctionResidualAlgorithmLinear
 
getName() - Method in class net.pakl.rl.ValueFunctionResidualAlgorithmPerceptron
 
getName() - Method in class org.eyelanguage.rl.reading.ParallelToSerialVFAdapter
 
getName() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getNetwork() - Method in class net.pakl.rl.ValueFunctionPerceptron
 
getNetwork() - Method in class net.pakl.rl.ValueFunctionResidualAlgorithmPerceptron
 
getNewlyIdentifiedIDs(String) - Method in class org.eyelanguage.rl.analysis.Extractor
 
getNewState(State, Action) - Method in class net.pakl.rl.maze.MazeWorld
This critical method returns the new state given an action from an old state, and in this case, simply adds state to position to simulate movement.
getNewState(State, Action) - Method in interface net.pakl.rl.World
Given a state and an action, returns the resulting state.
getNewState(State, Action, String) - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getNewState(State, Action) - Method in class org.eyelanguage.rl.reading.SentenceWorld
This critical method returns the new state given an action from an old state, and in this case, simply adds state to position to simulate movement.
getNewState(ReadingState, ReadingAction) - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getNewState(State, Action) - Method in class org.eyelanguage.rl.reading.SentenceWorldParallel
Call the same code that is in the serial SentenceWorld newState(state, action), but also calls a new function called SentenceWorldParallel.performParallelLexicalProcessing(org.eyelanguage.rl.reading.ReadingStateParallelRelative) on the state.
getNextNextWordLen() - Method in class org.eyelanguage.rl.reading.ReadingState
Getter for property nextNextWordLen.
getNextNextWordPredictability() - Method in class org.eyelanguage.rl.reading.ReadingState
Getter for property nextNextWordPredictability.
getNextWordLen() - Method in class org.eyelanguage.rl.reading.ReadingState
Getter for property nextWordLen.
getNextWordPredictability() - Method in class org.eyelanguage.rl.reading.ReadingState
Getter for property nextWordPredictability.
getNumberOfPositions() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getNumberOfStates() - Method in class net.pakl.rl.maze.MazeWorld
 
getNumberOfStates() - Method in interface net.pakl.rl.World
 
getNumberOfStates() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getNumIdentified() - Method in class org.eyelanguage.rl.reading.ReadingStateParallelRelative
 
getNumSentenceWorlds() - Method in class org.eyelanguage.rl.reading.ReadingSet
 
getNumWords() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getOptimalActions() - Method in class net.pakl.rl.PolicyExtractor
 
getOverridenLengths(int) - Method in class org.eyelanguage.rl.reading.Corpus
 
getPARALLEL_ATTENDABLE_WORDS() - Method in class org.eyelanguage.rl.reading.SentenceWorldParallel
 
getParallelTimeAttended(int) - Method in class org.eyelanguage.rl.reading.ReadingStateParallelRelative
 
getPatchName() - Method in class net.pakl.rl.State
 
getPatchName() - Method in interface net.pakl.rl.SubdivisionIdentification
Returns the name of the patch in which the agent should look for the value of this state.
getPatchName() - Method in class org.eyelanguage.rl.reading.ReadingStateParallelRelative
 
getPatchName() - Method in class org.eyelanguage.rl.reading.ReadingStateRelative
 
getPObstacle() - Method in class net.pakl.rl.maze.MazeWorld
Getter for property pObstacle.
getPossibleEyePositions(Word) - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getPossibleEyePositionsSlow(Word) - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getPreceedingWord() - Method in class org.eyelanguage.rl.reading.Word
 
getPredictabilites(int) - Method in class org.eyelanguage.rl.reading.Corpus
 
getPredictabilityFromPreceedingWord() - Method in class org.eyelanguage.rl.reading.Word
 
getPreviousWordLen() - Method in class org.eyelanguage.rl.reading.ReadingState
Getter for property previousWordLen.
getPreviousWordPredictability() - Method in class org.eyelanguage.rl.reading.ReadingState
Getter for property previousWordPredictability.
getPsychologicalLength() - Method in class org.eyelanguage.rl.reading.Word
 
getRandomAllowedAction(State) - Method in class net.pakl.rl.ActionSet
 
getRandomState() - Method in class net.pakl.rl.maze.MazeWorld
 
getRandomState() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getReadingPolicy(int) - Method in class org.eyelanguage.rl.reading.ReadingSet
 
getReadingReinforcementFunction(int) - Method in class org.eyelanguage.rl.reading.ReadingSet
 
getReward(State, Action) - Method in class net.pakl.rl.ReinforcementFunction
Return the reward given an action from a particular state.
getReward(State, Action, State) - Method in class net.pakl.rl.ReinforcementFunction
Sometimes a reward is also based on the resulting state.
getReward(State, Action) - Method in class org.eyelanguage.rl.reading.ReadingParallelReinforcementFunction
 
getReward(State, Action, State) - Method in class org.eyelanguage.rl.reading.ReadingParallelReinforcementFunction
 
getReward(State, Action) - Method in class org.eyelanguage.rl.reading.ReadingReinforcementFunction
 
getReward(State, Action, State) - Method in class org.eyelanguage.rl.reading.ReadingReinforcementFunction
 
getRewardForSuccessfulIdentification() - Method in class org.eyelanguage.rl.reading.ReadingParallelReinforcementFunction
 
getRewardForSuccessfulIdentification() - Method in class org.eyelanguage.rl.reading.ReadingReinforcementFunction
 
getSACCADE_PROGRAM_INTERVAL() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getSACCADE_TIME_PENALTY() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getSaccadeRequestDistance() - Method in class org.eyelanguage.rl.reading.ReadingAction
 
getSaccadeRequestDistance() - Method in class org.eyelanguage.rl.reading.ReadingState
 
getSentence(int) - Method in class org.eyelanguage.rl.reading.Corpus
 
getSentenceFromFile(String) - Method in class org.eyelanguage.rl.analysis.AgentTestVisualizer
 
getSentenceLength() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getSentenceString(BufferedReader) - Method in class org.eyelanguage.rl.analysis.Extractor
 
getSentenceWorld(int) - Method in class org.eyelanguage.rl.reading.ReadingSet
 
getSettings() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getSettings() - Method in class org.eyelanguage.rl.reading.SentenceWorldParallel
 
getSize() - Method in class net.pakl.rl.ValueFunctionHashMap
 
getSizeX() - Method in class net.pakl.rl.maze.MazeWorld
 
getSizeY() - Method in class net.pakl.rl.maze.MazeWorld
 
getStartingState() - Method in class net.pakl.rl.maze.MazeWorld
 
getStartingState() - Method in interface net.pakl.rl.World
 
getStartingState() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getStartingState() - Method in class org.eyelanguage.rl.reading.SentenceWorldParallel
 
getStateFactory() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getStateList() - Method in class net.pakl.rl.maze.MazeWorld
 
getStateList() - Method in interface net.pakl.rl.World
Returns a list of all the states (i.e.
getStateList() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getSumAttWindowTimes() - Method in class org.eyelanguage.rl.reading.ReadingStateParallelRelative
 
getTerminalStates() - Method in class net.pakl.rl.maze.MazeWorld
 
getTerminalStates() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getTerminalStates_notUsed() - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getText() - Method in class org.eyelanguage.rl.reading.Word
 
getTimeAttending() - Method in class org.eyelanguage.rl.reading.ReadingState
 
getTimeAttending() - Method in class org.eyelanguage.rl.reading.ReadingStateParallelRelative
 
getTimeInProgrammingSaccade() - Method in class org.eyelanguage.rl.reading.ReadingState
Getter for property timeInProgrammingSaccade.
getTimer() - Method in class net.pakl.rl.ValueFunctionHashMap
 
getTimes(int) - Method in class org.eyelanguage.rl.reading.Corpus
 
getTotalDelta() - Method in class net.pakl.rl.Agent
 
getTotalIncrementalWeightChangeAndReset() - Method in class net.pakl.rl.ValueFunctionResidualAlgorithmLinear
 
getTotalNumStates() - Method in class org.eyelanguage.rl.reading.ReadingSet
 
getValue(State) - Method in interface net.pakl.rl.ValueFunction
Retrieve the value associated with a state (which may be different for non-stored states depending on the actual class implementing this value function).
getValue(State) - Method in class net.pakl.rl.ValueFunctionHashMap
The value of a state is defined as the sum of the terinforcements received when starting in that state and following some fixed policy to a terminal state; the optimal policy would map states to actions that maximizes the sum of reinforcements received when starting in an arbitrary state and performing actions until the terminal state is reached
getValue(State) - Method in class net.pakl.rl.ValueFunctionPerceptron
 
getValue(HasVectorRepresentation) - Method in class net.pakl.rl.ValueFunctionResidualAlgorithmBairdPerceptron
 
getValue(State) - Method in class net.pakl.rl.ValueFunctionResidualAlgorithmLinear
 
getValue(HasVectorRepresentation) - Method in class net.pakl.rl.ValueFunctionResidualAlgorithmPatrykNetwork
 
getValue(State) - Method in class net.pakl.rl.ValueFunctionResidualAlgorithmPerceptron
 
getValue(HasVectorRepresentation) - Method in class net.pakl.rl.ValueFunctionResidualAlgorithmPerceptron
 
getValue(State) - Method in class org.eyelanguage.rl.reading.ParallelToSerialVFAdapter
 
getWord(int) - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getWordAtEyePosition(int) - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getWordLengthOrZero(int) - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getWordPredictabilityOrZero(int) - Method in class org.eyelanguage.rl.reading.SentenceWorld
 
getX() - Method in class net.pakl.rl.maze.State2D
 
getY() - Method in class net.pakl.rl.maze.State2D
 
greed - Variable in class net.pakl.rl.Agent
Greediness (used during TrajectorySampling) reflects the probability of taking the max action during learning; so 1-greed is the probability of taking a random action from allowable possible actions.
greed - Variable in class org.eyelanguage.rl.reading.ReadingMain
This number is used in the TrajectorySampler mode, and specified how likely the agent is to take the best known action.
growBounds(State) - Method in class org.eyelanguage.rl.reading.SentenceWorld
 

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