C-Index

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

C

c - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling: The number of transition dynamics samples (for the root if depth-variable C is used)
c - Variable in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling: The number of transition dynamics samples (for the root if depth-variable C is used)
c(int, String) - Static method in class burlap.debugtools.DPrint: A print command for the given debug code.
cachedExpectations - Variable in class burlap.behavior.singleagent.options.Option: The cached transition probabilities from each initiation state
cachedExpectedRewards - Variable in class burlap.behavior.singleagent.options.Option: The cached expected reward from each initiation state
CachedPolicy - Class in burlap.behavior.policy: This class can be used to lazily cache the policy of a source policy.
CachedPolicy(HashableStateFactory, Policy) - Constructor for class burlap.behavior.policy.CachedPolicy: Initializes
CachedPolicy(HashableStateFactory, Policy, int) - Constructor for class burlap.behavior.policy.CachedPolicy: Initializes
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.oomdp.singleagent.explorer.VisualExplorer.LivePollCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.env.AddRelationCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.env.AddStateObjectCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.env.EpisodeRecordingCommands.EpisodeBrowserCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.env.EpisodeRecordingCommands.RecordCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.env.ExecuteActionCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.env.IsTerminalCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.env.ListActionsCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.env.ListPropFunctions
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.env.ObservationCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.env.RemoveRelationCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.env.RemoveStateObjectCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.env.ResetEnvCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.env.RewardCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.env.SetAttributeCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.reserved.AliasCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.reserved.AliasesCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.reserved.CommandsCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.reserved.HelpCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.reserved.QuitCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in interface burlap.shell.command.ShellCommand: Executes this command.
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.AddRelationSGCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.AddStateObjectSGCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.GameCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.GenerateStateCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.IsTerminalSGCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.JointActionCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.LastJointActionCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.ManualAgentsCommands.ListManualAgents
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.ManualAgentsCommands.LSManualAgentActionsCommands
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.ManualAgentsCommands.RegisterAgentCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.ManualAgentsCommands.SetAgentAction
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.RemoveRelationSGCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.RemoveStateObjectSGCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.RewardsCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.SetAttributeSGCommand
call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.WorldObservationCommand
canEnumerateObservations() - Method in class burlap.domain.singleagent.pomdp.tiger.TigerDomain.TigerObservations
canEnumerateObservations() - Method in class burlap.oomdp.singleagent.pomdp.ObservationFunction: Returns whether this object can enumerate observations and implements the ObservationFunction.getAllPossibleObservations() and ObservationFunction.getObservationProbability(burlap.oomdp.core.states.State, burlap.oomdp.core.states.State, burlap.oomdp.singleagent.GroundedAction) methods.
cartFriction - Variable in class burlap.domain.singleagent.cartpole.CartPoleDomain.CPPhysicsParams: The friction between the cart and ground
cartMass - Variable in class burlap.domain.singleagent.cartpole.CartPoleDomain.CPPhysicsParams: The mass of the cart.
cartMass - Variable in class burlap.domain.singleagent.cartpole.InvertedPendulum.IPPhysicsParams: The mass of the cart.
CartPoleDomain - Class in burlap.domain.singleagent.cartpole: The classic cart pole balancing problem as described by Barto, Sutton, and Anderson [2] with correct mechanics as described by Florian [1].
CartPoleDomain() - Constructor for class burlap.domain.singleagent.cartpole.CartPoleDomain
CartPoleDomain.CartPoleRewardFunction - Class in burlap.domain.singleagent.cartpole: A default reward function for this task.
CartPoleDomain.CartPoleRewardFunction() - Constructor for class burlap.domain.singleagent.cartpole.CartPoleDomain.CartPoleRewardFunction: Initializes with max pole angle threshold of 12 degrees (about 0.2 radians)
CartPoleDomain.CartPoleRewardFunction(double) - Constructor for class burlap.domain.singleagent.cartpole.CartPoleDomain.CartPoleRewardFunction: Initializes with a max pole angle as specified in radians
CartPoleDomain.CartPoleTerminalFunction - Class in burlap.domain.singleagent.cartpole: A default terminal function for this domain.
CartPoleDomain.CartPoleTerminalFunction() - Constructor for class burlap.domain.singleagent.cartpole.CartPoleDomain.CartPoleTerminalFunction: Initializes with default max angle of 12 degrees (about 0.2 radians)
CartPoleDomain.CartPoleTerminalFunction(double) - Constructor for class burlap.domain.singleagent.cartpole.CartPoleDomain.CartPoleTerminalFunction: Initializes with a max pole angle as specified in radians
CartPoleDomain.CPPhysicsParams - Class in burlap.domain.singleagent.cartpole
CartPoleDomain.CPPhysicsParams() - Constructor for class burlap.domain.singleagent.cartpole.CartPoleDomain.CPPhysicsParams
CartPoleDomain.CPPhysicsParams(double, double, double, double, double, double, double, double, double, double, double, double, boolean, boolean) - Constructor for class burlap.domain.singleagent.cartpole.CartPoleDomain.CPPhysicsParams
CartPoleDomain.MovementAction - Class in burlap.domain.singleagent.cartpole: A movement action which applies force in the specified direction.
CartPoleDomain.MovementAction(String, Domain, double, CartPoleDomain.CPPhysicsParams) - Constructor for class burlap.domain.singleagent.cartpole.CartPoleDomain.MovementAction: Initializes.
CartPoleVisualizer - Class in burlap.domain.singleagent.cartpole: Class for returning cart pole visualizer objects.
CartPoleVisualizer() - Constructor for class burlap.domain.singleagent.cartpole.CartPoleVisualizer
CartPoleVisualizer.CartPoleObjectPainter - Class in burlap.domain.singleagent.cartpole: An object painter for the cart pole object.
CartPoleVisualizer.CartPoleObjectPainter() - Constructor for class burlap.domain.singleagent.cartpole.CartPoleVisualizer.CartPoleObjectPainter
cellWidth() - Method in class burlap.behavior.singleagent.auxiliary.StateGridder.AttributeSpecification: Returns the width of a grid cell along this attribute.
centeredState - Variable in class burlap.behavior.singleagent.vfa.rbf.FVRBF: The center state of the RBF unit.
centeredState - Variable in class burlap.behavior.singleagent.vfa.rbf.RBF: The center state of this unit
cerAvgSeries - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.AgentDatasets: All trial's average cumulative reward per episode series data
cerAvgSeries - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.AgentDatasets: All trial's average cumulative reward per episode series data
cf(int, String, Object...) - Static method in class burlap.debugtools.DPrint: A printf command for the given debug code.
changeWeight(T, double) - Method in class burlap.datastructures.StochasticTree: Changes the weight of the given element.
cHeight - Variable in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer
cHeight - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionVisualizerGUI: Visualizer canvas height
cHeight - Variable in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer
cHeight - Variable in class burlap.oomdp.singleagent.common.VisualActionObserver: The height of the painter
cHeight - Variable in class burlap.oomdp.singleagent.explorer.VisualExplorer
cHeight - Variable in class burlap.oomdp.stochasticgames.common.VisualWorldObserver: The height of the painter
cHeight - Variable in class burlap.oomdp.stochasticgames.explorers.SGVisualExplorer
cl(int, String) - Static method in class burlap.debugtools.DPrint: A print line command for the given debug code.
CLASSAGENT - Static variable in class burlap.domain.singleagent.blockdude.BlockDude: Name for the agent OO-MDP class
CLASSAGENT - Static variable in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain: Constant for the name of the agent class
CLASSAGENT - Static variable in class burlap.domain.singleagent.gridworld.GridWorldDomain: Constant for the name of the agent class
CLASSAGENT - Static variable in class burlap.domain.singleagent.mountaincar.MountainCar: A constant for the name of the agent class
CLASSAGENT - Static variable in class burlap.domain.stochasticgames.gridgame.GridGame: A constant for the name of the agent class.
CLASSAGENT - Static variable in class burlap.tutorials.bd.ExampleGridWorld
CLASSBLOCK - Static variable in class burlap.domain.singleagent.blockdude.BlockDude: Name for the block OO-MDP class
CLASSBLOCK - Static variable in class burlap.domain.singleagent.blocksworld.BlocksWorld: Constant for the name of the block class.
CLASSBRICKS - Static variable in class burlap.domain.singleagent.blockdude.BlockDude: Name for the bricks OO-MDP class
CLASSCARTPOLE - Static variable in class burlap.domain.singleagent.cartpole.CartPoleDomain: A constant for the name of the cart and pole object to be moved
CLASSDIMHWALL - Static variable in class burlap.domain.stochasticgames.gridgame.GridGame: A constant for the name of the horizontal wall class.
CLASSDIMVWALL - Static variable in class burlap.domain.stochasticgames.gridgame.GridGame: A constant for the name of the vertical wall class.
CLASSEXIT - Static variable in class burlap.domain.singleagent.blockdude.BlockDude: Name for the exit OO-MDP class
CLASSGOAL - Static variable in class burlap.domain.stochasticgames.gridgame.GridGame: A constant for the name of the goal class.
classHistory - Variable in class burlap.behavior.stochasticgames.agents.naiveq.history.SGQWActionHistory: The object class that will be used to represent a history component.
CLASSHISTORY - Static variable in class burlap.behavior.stochasticgames.agents.naiveq.history.SGQWActionHistory: A constant for the name of the history object class.
classifier - Variable in class burlap.behavior.singleagent.planning.vfa.fittedvi.WekaVFATrainer.WekaVFA: The Weka Classifier used to predict state values.
CLASSLOCATION - Static variable in class burlap.domain.singleagent.gridworld.GridWorldDomain: Constant for the name of the location class
CLASSLOCATION - Static variable in class burlap.tutorials.bd.ExampleGridWorld
className - Variable in class burlap.behavior.singleagent.vfa.cmac.AttributeTileSpecification: The object class name this tiling specification concerns
className - Variable in class burlap.behavior.singleagent.vfa.cmac.Tiling.ObjectTile: The OO-MDP class name for this object's OO-MDP object instance
CLASSOBSERVATION - Static variable in class burlap.domain.singleagent.pomdp.tiger.TigerDomain: The class name for observation objects
classOrder - Variable in class burlap.behavior.singleagent.vfa.cmac.Tiling: A list specifying the order that the attributes from different classes will be combined into a single multi-dimensional tile
CLASSPENDULUM - Static variable in class burlap.domain.singleagent.cartpole.InvertedPendulum: The object class for the pendulum.
CLASSPLAYER - Static variable in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame: Class name for a player class
CLASSSTATE - Static variable in class burlap.domain.singleagent.tabularized.TabulatedDomainWrapper: The single class name that holds the state attribute
CLASSTIGER - Static variable in class burlap.domain.singleagent.pomdp.tiger.TigerDomain: The class name for the object class that specifies where the tiger is
clear() - Method in class burlap.behavior.singleagent.learning.lspi.SARSData: Clears this dataset of all elements.
clearActions() - Method in class burlap.behavior.policy.RandomPolicy: Clears the action list used in action selection.
clearAllActionObserversForAllActions() - Method in class burlap.oomdp.singleagent.SADomain: Clears all action observers for all action in this domain.
clearAllActionsObservers() - Method in class burlap.oomdp.singleagent.Action: Clears all action observers associated with this action
clearAllAttributeMasks() - Method in class burlap.oomdp.statehashing.MaskedHashableStateFactory: Clears all Attribute masks.
clearAllObjectClassMasks() - Method in class burlap.oomdp.statehashing.MaskedHashableStateFactory: Clears all ObjectClass masks.
clearAllObservers() - Method in class burlap.oomdp.singleagent.environment.EnvironmentServer: Clears all EnvironmentObservers from this server.
clearAllObservers() - Method in interface burlap.oomdp.singleagent.environment.EnvironmentServerInterface: Clears all EnvironmentObservers from this server.
clearAllObservers() - Method in class burlap.oomdp.singleagent.environment.SimulatedEnvironment
clearAllWorldObserver() - Method in class burlap.oomdp.stochasticgames.World: Clears all world observers from this world.
clearLocationOfWalls(int, int) - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain: Removes any obstacles or walls at the specified location.
clearNonAverages() - Method in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.AgentDatasets: clears all the series data for the most recent trial.
clearNonAverages() - Method in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.AgentDatasets: clears all the series data for the most recent trial.
clearRelationalTargets(String) - Method in class burlap.oomdp.core.objects.ImmutableObjectInstance: Clears all the relational value targets of the attribute named attName for this object instance.
clearRelationalTargets(String) - Method in class burlap.oomdp.core.objects.MutableObjectInstance: Clears all the relational value targets of the attribute named attName for this object instance.
clearRelationalTargets(String) - Method in interface burlap.oomdp.core.objects.ObjectInstance: Clears all the relational value targets of the attribute named attName for this object instance.
clearRelationalTargets(String) - Method in class burlap.oomdp.statehashing.HashableObject
clearRelationTargets() - Method in class burlap.oomdp.core.values.MultiTargetRelationalValue
clearRelationTargets() - Method in class burlap.oomdp.core.values.OOMDPValue: Removes any relational targets for this attribute
clearRelationTargets() - Method in class burlap.oomdp.core.values.RelationalValue
clearRelationTargets() - Method in interface burlap.oomdp.core.values.Value: Removes any relational targets for this attribute
clearRenderedStateAction() - Method in class burlap.oomdp.visualizer.StateActionRenderLayer: Sets the State and AbstractGroundedAction to render to null, which will prevent calls to the method StateActionRenderLayer.renderStateAction(java.awt.Graphics2D, burlap.oomdp.core.states.State, burlap.oomdp.core.AbstractGroundedAction, float, float) to be made.
clearStateActionTransitions(int, int) - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain: Clears all (stochastic) edges for a given state-action pair.
clearStateTransitionsFrom(int) - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain: Clears all transitions from a given state node
clone() - Method in class burlap.oomdp.core.GroundedProp
clusterPriors - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL: The prior probabilities on each cluster.
clusterRequests - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL: The invididual MLIRLRequest objects for each behavior cluster.
CMACFeatureDatabase - Class in burlap.behavior.singleagent.vfa.cmac: A feature database using CMACs [1] AKA Tiling Coding over OO-MDP states.
CMACFeatureDatabase(int, CMACFeatureDatabase.TilingArrangement) - Constructor for class burlap.behavior.singleagent.vfa.cmac.CMACFeatureDatabase: Initializes with a set of nTilings and sets the offset arrangement for subsequent tilings to be determined according to arrangement.
CMACFeatureDatabase.TilingArrangement - Enum in burlap.behavior.singleagent.vfa.cmac: Enum for specifying whether tilings should have their tile alignments should be chossen so that they are randomly jittered from each other, or if each subsequent tiling should be offset by a uniform amount.
CoCoQ - Class in burlap.behavior.stochasticgames.madynamicprogramming.backupOperators: The CoCoQ backup operator for sequential stochastic games [1].
CoCoQ() - Constructor for class burlap.behavior.stochasticgames.madynamicprogramming.backupOperators.CoCoQ
coefficientNorm(int) - Method in class burlap.behavior.singleagent.vfa.fourier.FourierBasis: Returns the norm of the coefficient vector for the given basis function index.
coefficientVectors - Variable in class burlap.behavior.singleagent.vfa.fourier.FourierBasis: The coefficient vectors used
col - Variable in class burlap.domain.singleagent.gridworld.GridWorldVisualizer.CellPainter
colAER - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: All agent plot series for the the most recetent trial's average reward per episode
colAER - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: All agent plot series for the the most recetent trial's average reward per episode
colAERAvg - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: All agent plot series for the average of all trial's average reward per episode
colAERAvg - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: All agent plot series for the average of all trial's average reward per episode
colCER - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: All agent plot series for the the most recetent trial's cumulative reward per episode
colCER - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: All agent plot series for the the most recetent trial's cumulative reward per episode
colCERAvg - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: All agent plot series for the average of all trial's cumulative reward per episode
colCERAvg - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: All agent plot series for the average of all trial's cumulative reward per episode
colCSE - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: All agent plot series for the the most recetent trial's cumulative step per episode
colCSE - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: All agent plot series for the the most recetent trial's cumulative step per episode
colCSEAvg - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: All agent plot series for the average of all trial's cumulative steps per episode
colCSEAvg - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: All agent plot series for the average of all trial's cumulative steps per episode
colCSR - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: All agent plot series for the the most recetent trial's cumulative reward per step
colCSR - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: All agent plot series for the the most recetent trial's cumulative reward per step
colCSRAvg - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: All agent plot series for the average of all trial's cumulative reward per step
colCSRAvg - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: All agent plot series for the average of all trial's cumulative reward per step
collapseTransitionProbabilityDuplicates(List<TransitionProbability>) - Method in class burlap.oomdp.singleagent.pomdp.BeliefMDPGenerator.BeliefAction: Finds transitions that go to the same state and collapses them into a single TransitionProbability object with the sum of their probabilities.
collectData - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: Whether the data from action observations received should be recoreded or not.
collectData - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: Whether the data from action observations received should be recoreded or not.
collectDataFrom(State, RewardFunction, int, TerminalFunction, SARSData) - Method in class burlap.behavior.singleagent.learning.lspi.SARSCollector: Collects data from an initial state until either a terminal state is reached or until the maximum number of steps is taken.
collectDataFrom(Environment, int, SARSData) - Method in class burlap.behavior.singleagent.learning.lspi.SARSCollector: Collects data from an Environment's current state until either the maximum number of steps is taken or a terminal state is reached.
collectDataFrom(State, RewardFunction, int, TerminalFunction, SARSData) - Method in class burlap.behavior.singleagent.learning.lspi.SARSCollector.UniformRandomSARSCollector
collectDataFrom(Environment, int, SARSData) - Method in class burlap.behavior.singleagent.learning.lspi.SARSCollector.UniformRandomSARSCollector
collectNInstances(StateGenerator, RewardFunction, int, int, TerminalFunction, SARSData) - Method in class burlap.behavior.singleagent.learning.lspi.SARSCollector: Collects nSamples of SARS tuples and returns it in a SARSData object.
collectNInstances(Environment, int, int, SARSData) - Method in class burlap.behavior.singleagent.learning.lspi.SARSCollector: Collects nSamples of SARS tuples from an Environment and returns it in a SARSData object.
collisionReward - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderRF: The reward for hitting the ground or an obstacle
colMER - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: All agent plot series for the the most recetent trial's median reward per episode
colMER - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: All agent plot series for the the most recetent trial's median reward per episode
colMERAvg - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: All agent plot series for the average of all trial's median reward per episode
colMERAvg - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: All agent plot series for the average of all trial's median reward per episode
color(double) - Method in interface burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.ColorBlend: Returns a Color for a given double value
color(double) - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.LandmarkColorBlendInterpolation
ColorBlend - Interface in burlap.behavior.singleagent.auxiliary.valuefunctionvis.common: An interface for defining methods that return a color for a given double value.
colorBlend - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.StateValuePainter2D: The object to use for returning the color with which to fill the state cell given its value.
COLORBLUE - Static variable in class burlap.domain.singleagent.blocksworld.BlocksWorld: Constant for the color value "blue"
COLORGREEN - Static variable in class burlap.domain.singleagent.blocksworld.BlocksWorld: Constant for the color value "green"
COLORRED - Static variable in class burlap.domain.singleagent.blocksworld.BlocksWorld: Constant for the color value "red"
colPayoffs - Variable in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.EquilibriumPlayingSGAgent.BimatrixTuple: The column player's payoffs.
colSE - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: All agent plot series for the most recetent trial's steps per episode
colSE - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: All agent plot series for the most recetent trial's steps per episode
colSEAvg - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: All agent plot series for the average of all trial's steps per episode
colSEAvg - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: All agent plot series for the average of all trial's steps per episode
combinedNonZeroPDParameters(FunctionGradient...) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableDP
combinedNonZeroPDParameters(FunctionGradient...) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling
combinedNonZeroPDParameters(FunctionGradient...) - Static method in class burlap.behavior.singleagent.learnfromdemo.mlirl.support.BoltzmannPolicyGradient
combineDuplicateTransitionProbabilities(List<TransitionProbability>) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics: Iterates through a list of transition probability objects and combines any that refer to the same state
command - Variable in class burlap.shell.ShellObserver.ShellCommandEvent: The resolved ShellCommand responsible for carrying out the command string.
CommandLineOptions - Class in burlap.datastructures: This class is used to extract command line options that are specified in the form: "--option" or "--option=vaue".
CommandLineOptions(String[]) - Constructor for class burlap.datastructures.CommandLineOptions: Parses an array of command line arguments for the options and their values
commandName() - Method in class burlap.oomdp.singleagent.explorer.VisualExplorer.LivePollCommand
commandName() - Method in class burlap.shell.command.env.AddRelationCommand
commandName() - Method in class burlap.shell.command.env.AddStateObjectCommand
commandName() - Method in class burlap.shell.command.env.EpisodeRecordingCommands.EpisodeBrowserCommand
commandName() - Method in class burlap.shell.command.env.EpisodeRecordingCommands.RecordCommand
commandName() - Method in class burlap.shell.command.env.ExecuteActionCommand
commandName() - Method in class burlap.shell.command.env.IsTerminalCommand
commandName() - Method in class burlap.shell.command.env.ListActionsCommand
commandName() - Method in class burlap.shell.command.env.ListPropFunctions
commandName() - Method in class burlap.shell.command.env.ObservationCommand
commandName() - Method in class burlap.shell.command.env.RemoveRelationCommand
commandName() - Method in class burlap.shell.command.env.RemoveStateObjectCommand
commandName() - Method in class burlap.shell.command.env.ResetEnvCommand
commandName() - Method in class burlap.shell.command.env.RewardCommand
commandName() - Method in class burlap.shell.command.env.SetAttributeCommand
commandName() - Method in class burlap.shell.command.reserved.AliasCommand
commandName() - Method in class burlap.shell.command.reserved.AliasesCommand
commandName() - Method in class burlap.shell.command.reserved.CommandsCommand
commandName() - Method in class burlap.shell.command.reserved.HelpCommand
commandName() - Method in class burlap.shell.command.reserved.QuitCommand
commandName() - Method in interface burlap.shell.command.ShellCommand: Returns the default name of this command.
commandName() - Method in class burlap.shell.command.world.AddRelationSGCommand
commandName() - Method in class burlap.shell.command.world.AddStateObjectSGCommand
commandName() - Method in class burlap.shell.command.world.GameCommand
commandName() - Method in class burlap.shell.command.world.GenerateStateCommand
commandName() - Method in class burlap.shell.command.world.IsTerminalSGCommand
commandName() - Method in class burlap.shell.command.world.JointActionCommand
commandName() - Method in class burlap.shell.command.world.LastJointActionCommand
commandName() - Method in class burlap.shell.command.world.ManualAgentsCommands.ListManualAgents
commandName() - Method in class burlap.shell.command.world.ManualAgentsCommands.LSManualAgentActionsCommands
commandName() - Method in class burlap.shell.command.world.ManualAgentsCommands.RegisterAgentCommand
commandName() - Method in class burlap.shell.command.world.ManualAgentsCommands.SetAgentAction
commandName() - Method in class burlap.shell.command.world.RemoveRelationSGCommand
commandName() - Method in class burlap.shell.command.world.RemoveStateObjectSGCommand
commandName() - Method in class burlap.shell.command.world.RewardsCommand
commandName() - Method in class burlap.shell.command.world.SetAttributeSGCommand
commandName() - Method in class burlap.shell.command.world.WorldObservationCommand
commands - Variable in class burlap.shell.BurlapShell
CommandsCommand - Class in burlap.shell.command.reserved: A reserved ShellCommand for listing all shell commands.
CommandsCommand() - Constructor for class burlap.shell.command.reserved.CommandsCommand
commandString - Variable in class burlap.shell.ShellObserver.ShellCommandEvent: The shell command string that was executed.
compare(PrioritizedSearchNode, PrioritizedSearchNode) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.PrioritizedSearchNode.PSNComparator
compare(PrioritizedSweeping.BPTRNode, PrioritizedSweeping.BPTRNode) - Method in class burlap.behavior.singleagent.planning.stochastic.valueiteration.PrioritizedSweeping.BPTRNodeComparator
compare(Object, Object) - Method in class burlap.datastructures.AlphanumericSorting: The compare method that compares the alphanumeric strings
completedExperiment - Variable in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter: Whether the experimenter has completed.
completedExperiment - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter: Whether the experimenter has completed.
computeBoltzmannPolicyGradient(State, GroundedAction, QGradientPlanner, double) - Static method in class burlap.behavior.singleagent.learnfromdemo.mlirl.support.BoltzmannPolicyGradient: Computes the gradient of a Boltzmann policy using the given differentiable valueFunction.
computeClusterTrajectoryLoggedNormalization(int, double[][]) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL: Given a matrix holding the log[Pr(c)] + log(Pr(t | c)] values in its entries, where Pr(c) is the probability of the cluster and Pr(t | c)] is the probability of the trajectory given the cluster, this method returns the log probability of the standard probability normalization factor for trajectory t in the matrix.
computeColStrategy(double[][], double[][]) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.BimatrixEquilibriumSolver: Computes and returns the column player strategy for the given bimatrix game.
computeColStrategy(double[][], double[][]) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.equilibriumsolvers.CorrelatedEquilibrium
computeColStrategy(double[][], double[][]) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.equilibriumsolvers.MaxMax
computeColStrategy(double[][], double[][]) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.equilibriumsolvers.MinMax
computeColStrategy(double[][], double[][]) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.equilibriumsolvers.Utilitarian
computeExactValueFunction - Variable in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling: This parameter indicates whether the exact finite horizon value function is computed or whether sparse sampling to estimate should be used.
computeF(PrioritizedSearchNode, GroundedAction, HashableState) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.AStar
computeF(PrioritizedSearchNode, GroundedAction, HashableState) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.DynamicWeightedAStar
computeF(PrioritizedSearchNode, GroundedAction, HashableState) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.StaticWeightedAStar
computeF(PrioritizedSearchNode, GroundedAction, HashableState) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.WeightedGreedy
computeF(PrioritizedSearchNode, GroundedAction, HashableState) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.BestFirst: This method returns the f-score for a state given the parent search node, the generating action, the state that was produced.
computeHashCode() - Method in class burlap.oomdp.statehashing.HashableObject.CachedHashableObject: This method computes the hashCode for this HashableState
computeHashCode() - Method in class burlap.oomdp.statehashing.HashableState.CachedHashableState: This method computes the hashCode for this HashableState
computeHashCode(ObjectInstance) - Method in class burlap.oomdp.statehashing.ImmutableHashableObjectFactory
computeHashCode(State) - Method in class burlap.oomdp.statehashing.ImmutableStateHashableStateFactory
computeHashCode(State) - Method in class burlap.oomdp.statehashing.MaskedHashableStateFactory
computeHashCode(ObjectInstance) - Method in class burlap.oomdp.statehashing.MaskedHashableStateFactory
computeHashCode(State) - Method in class burlap.oomdp.statehashing.SimpleHashableStateFactory: Computes the hash code for the input state.
computeHashCode(ObjectInstance) - Method in class burlap.oomdp.statehashing.SimpleHashableStateFactory: Computes the hash code for an individual ObjectInstance.
computeHashCode() - Method in class burlap.oomdp.statehashing.SimpleHashableStateFactory.SimpleCachedHashableState
computePerClusterMLIRLWeights() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL: Computes the probability of each trajectory being generated by each cluster and returns it in a matrix.
computePolicyFromTree() - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTTreeWalkPolicy: computes a hash-backed policy for every state visited along the greedy path of the UCT tree.
computePolicyGradient(double, double[], double, double, FunctionGradient[], int) - Static method in class burlap.behavior.singleagent.learnfromdemo.mlirl.support.BoltzmannPolicyGradient: Computes the gradient of a Boltzmann policy using values derived from a Differentiable Botlzmann backup valueFunction.
computeProbabilityOfClustersGivenTrajectory(EpisodeAnalysis) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL: Returns the probability of each behavior cluster given the trajectory.
computeProbs() - Method in class burlap.datastructures.BoltzmannDistribution: Computes the probability distribution.
computeQ(State, ActionTransitions) - Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming: Returns the Q-value for a given set and the possible transitions from it for a given action.
computeQ(HashableState, GroundedAction) - Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming: Computes the Q-value using the uncached transition dynamics produced by the Action object methods.
computeQGradient(State, GroundedAction) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableDP: Computes the Q-value gradient for the given State and GroundedAction.
computeRowStrategy(double[][], double[][]) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.BimatrixEquilibriumSolver: Computes and returns the row player strategy for the given bimatrix game.
computeRowStrategy(double[][], double[][]) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.equilibriumsolvers.CorrelatedEquilibrium
computeRowStrategy(double[][], double[][]) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.equilibriumsolvers.MaxMax
computeRowStrategy(double[][], double[][]) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.equilibriumsolvers.MinMax
computeRowStrategy(double[][], double[][]) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.equilibriumsolvers.Utilitarian
computesExactValueFunction() - Method in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling: Returns whether this valueFunction comptues the exact finite horizon value function (by using the full transition dynamics) or whether it estimates the value funciton with sampling.
computeTempNormalized() - Method in class burlap.datastructures.BoltzmannDistribution: Computes the temperature normalized preference values
computeUCTQ(UCTStateNode, UCTActionNode) - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT: Returns the upper confidence Q-value for a given state node and action node.
ConcatenatedObjectFeatureVectorGenerator - Class in burlap.behavior.singleagent.vfa.common: This class is used to produce a state feature vector that is the concatenation of the observable attributes of objects belonging to a specified sequence of object classes.
ConcatenatedObjectFeatureVectorGenerator(String...) - Constructor for class burlap.behavior.singleagent.vfa.common.ConcatenatedObjectFeatureVectorGenerator: Initializes with an array of or object class names.
ConcatenatedObjectFeatureVectorGenerator(boolean, String...) - Constructor for class burlap.behavior.singleagent.vfa.common.ConcatenatedObjectFeatureVectorGenerator: Initializes with an array of or object class names.
consoleFrame - Variable in class burlap.oomdp.singleagent.explorer.VisualExplorer
consoleFrame - Variable in class burlap.oomdp.stochasticgames.explorers.SGVisualExplorer
constantDoubleArray(double, int) - Static method in class burlap.behavior.stochasticgames.solvers.GeneralBimatrixSolverTools: Returns a double array of a given dimension filled with the same value.
ConstantLR - Class in burlap.behavior.learningrate: A class for specifying a constant learning rate that never changes.
ConstantLR() - Constructor for class burlap.behavior.learningrate.ConstantLR: Constructs constant learning rate of 0.1
ConstantLR(Double) - Constructor for class burlap.behavior.learningrate.ConstantLR: Constructs a constant learning rate for the given value
ConstantSGStateGenerator - Class in burlap.oomdp.stochasticgames.common: A stochastic games state generator that always returns the same base state, which is specified via the constructor.
ConstantSGStateGenerator(State) - Constructor for class burlap.oomdp.stochasticgames.common.ConstantSGStateGenerator: Initializes.
ConstantStateGenerator - Class in burlap.oomdp.auxiliary.common: This class takes a source state as input as returns copies of it for every call of generateState().
ConstantStateGenerator(State) - Constructor for class burlap.oomdp.auxiliary.common.ConstantStateGenerator: This class takes a source state as input as returns copies of it for every call of generateState().
ConstantWorldGenerator - Class in burlap.oomdp.stochasticgames.tournament.common: A WorldGenerator that always generators the same WorldConfiguraiton.
ConstantWorldGenerator(SGDomain, JointActionModel, JointReward, TerminalFunction, SGStateGenerator) - Constructor for class burlap.oomdp.stochasticgames.tournament.common.ConstantWorldGenerator: Deprecated.
ConstantWorldGenerator(SGDomain, JointReward, TerminalFunction, SGStateGenerator) - Constructor for class burlap.oomdp.stochasticgames.tournament.common.ConstantWorldGenerator: Initializes the WorldGenerator.
ConstantWorldGenerator(SGDomain, JointActionModel, JointReward, TerminalFunction, SGStateGenerator, StateAbstraction) - Constructor for class burlap.oomdp.stochasticgames.tournament.common.ConstantWorldGenerator: Deprecated.
ConstantWorldGenerator(SGDomain, JointReward, TerminalFunction, SGStateGenerator, StateAbstraction) - Constructor for class burlap.oomdp.stochasticgames.tournament.common.ConstantWorldGenerator: Initializes the WorldGenerator.
constructBimatrix(State, List<GroundedSGAgentAction>) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.EquilibriumPlayingSGAgent: Constructs a bimatrix game from the possible joint rewards of the given state.
constructor(Environment, EnvironmentObserver...) - Static method in class burlap.oomdp.singleagent.environment.EnvironmentServer: Constructs an EnvironmentServer or EnvironmentServer.StateSettableEnvironmentServer, based on whether the input delegate implements StateSettableEnvironment.
constructServerOrAddObservers(Environment, EnvironmentObserver...) - Static method in class burlap.oomdp.singleagent.environment.EnvironmentServer: If the input Environment is an instance EnvironmentServerInterface, then all the input observers are added to it and it is returned.
containsActionPreference(UCTStateNode) - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT: Returns true if the sample returns for any actions are different
containsInstance(T) - Method in class burlap.datastructures.HashIndexedHeap: Checks if the heap contains this object and returns the pointer to the stored object if it does; otherwise null is returned.
containsKey(K) - Method in class burlap.datastructures.HashedAggregator: Returns true if this object has a value associated with the specified key, false otherwise.
containsKey(String) - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.ActionNameMap
containsOption(String) - Method in class burlap.datastructures.CommandLineOptions: Returns whether the queried opton is set.
containsParameterizedActions - Variable in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor: Indicates whether the actions that this agent can perform are parameterized
continueFromState(State, GroundedAction) - Method in class burlap.behavior.singleagent.options.Option: This method will use this option's termination probability, roll the dice, and return whether the option should continue or terminate.
ContinuousDomainTutorial - Class in burlap.tutorials.scd
ContinuousDomainTutorial() - Constructor for class burlap.tutorials.scd.ContinuousDomainTutorial
controlContainer - Variable in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer
controlContainer - Variable in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer
controlDepth - Variable in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI: The SparseSampling depth used when computing Q-values for the FittedVI.getQs(burlap.oomdp.core.states.State) and FittedVI.getQ(burlap.oomdp.core.states.State, burlap.oomdp.core.AbstractGroundedAction) methods used for control.
convertIntoObservation(State) - Method in class burlap.oomdp.singleagent.interfaces.rlglue.RLGlueEnvironment: Takes a OO-MDP state and converts it into an RLGlue observation
copy() - Method in class burlap.behavior.policy.Policy.GroundedAnnotatedAction
copy() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF
copy() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateDifferentiableRF
copy() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.DiffVFRF
copy() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit
copy() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearStateDiffVF
copy() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.VanillaDiffVinit
copy() - Method in class burlap.behavior.singleagent.vfa.cmac.CMACFeatureDatabase
copy() - Method in class burlap.behavior.singleagent.vfa.cmac.FVCMACFeatureDatabase
copy() - Method in class burlap.behavior.singleagent.vfa.cmac.Tiling: Returns a copy of this tiling.
copy() - Method in class burlap.behavior.singleagent.vfa.common.FVToFeatureDatabase
copy() - Method in class burlap.behavior.singleagent.vfa.common.LinearFVVFA
copy() - Method in class burlap.behavior.singleagent.vfa.common.LinearVFA
copy() - Method in interface burlap.behavior.singleagent.vfa.FeatureDatabase: Returns a deep copy of this feature database.
copy() - Method in class burlap.behavior.singleagent.vfa.fourier.FourierBasis
copy() - Method in interface burlap.behavior.singleagent.vfa.ParametricFunction: Returns a copy of this ParametricFunction.
copy() - Method in class burlap.behavior.singleagent.vfa.rbf.FVRBFFeatureDatabase
copy() - Method in class burlap.behavior.singleagent.vfa.rbf.RBFFeatureDatabase
copy() - Method in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.SGToSADomain.GroundedSAAActionWrapper
copy() - Method in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.SGToSADomain.GroundedSObParamedAAActionWrapper
copy() - Method in class burlap.behavior.stochasticgames.JointPolicy: Creates a copy of this joint policy and returns it.
copy() - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.ECorrelatedQJointPolicy
copy() - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyJointPolicy
copy() - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyMaxWellfare
copy() - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EMinMaxPolicy
copy() - Method in class burlap.behavior.stochasticgames.PolicyFromJointPolicy: Returns a copy of this policy, which entails of first making a copy of the joint policy.
copy() - Method in class burlap.domain.singleagent.cartpole.CartPoleDomain.CPPhysicsParams
copy() - Method in class burlap.domain.singleagent.cartpole.InvertedPendulum.IPPhysicsParams
copy() - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.NodeTransitionProbability
copy() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.LLPhysicsParams
copy() - Method in class burlap.domain.singleagent.mountaincar.MountainCar.MCPhysicsParams
copy() - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.ActionNameMap
copy() - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.AgentPayoutFunction
copy() - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.StrategyProfile
copy() - Method in interface burlap.oomdp.core.AbstractGroundedAction: Returns a copy of this grounded action.
copy(Domain) - Method in class burlap.oomdp.core.Attribute: Will create a new Attribute object with the same configuration and name as this one.
copy(Domain) - Method in class burlap.oomdp.core.ObjectClass: Will create and return a new ObjectClass object with copies of this object class' attributes
copy() - Method in class burlap.oomdp.core.objects.ImmutableObjectInstance: Creates and returns a new object instance that is a deep copy of this object instance's values.
copy() - Method in class burlap.oomdp.core.objects.MutableObjectInstance: Creates and returns a new object instance that is a deep copy of this object instance's values.
copy() - Method in interface burlap.oomdp.core.objects.ObjectInstance: Creates and returns a new object instance that is a copy of this object instance's values, if mutable the copy should be deep
copy() - Method in class burlap.oomdp.core.states.FixedSizeImmutableState: This method doesn't actually copy.
copy() - Method in class burlap.oomdp.core.states.ImmutableState: This method doesn't actually copy.
copy() - Method in class burlap.oomdp.core.states.MutableState: Returns a deep copy of this state.
copy() - Method in interface burlap.oomdp.core.states.State: Returns a copy of this state, if mutable the copy should be deep.
copy() - Method in class burlap.oomdp.core.values.DiscreteValue
copy() - Method in class burlap.oomdp.core.values.DoubleArrayValue
copy() - Method in class burlap.oomdp.core.values.IntArrayValue
copy() - Method in class burlap.oomdp.core.values.IntValue
copy() - Method in class burlap.oomdp.core.values.MultiTargetRelationalValue
copy() - Method in class burlap.oomdp.core.values.RealValue
copy() - Method in class burlap.oomdp.core.values.RelationalValue
copy() - Method in class burlap.oomdp.core.values.StringValue
copy() - Method in interface burlap.oomdp.core.values.Value: Creates a deep copy of this value object.
copy() - Method in class burlap.oomdp.singleagent.common.SimpleGroundedAction
copy() - Method in class burlap.oomdp.singleagent.GroundedAction
copy() - Method in class burlap.oomdp.singleagent.ObjectParameterizedAction.ObjectParameterizedGroundedAction
copy() - Method in class burlap.oomdp.singleagent.pomdp.BeliefMDPGenerator.GroundedBeliefAction
copy() - Method in class burlap.oomdp.singleagent.pomdp.BeliefMDPGenerator.ObjectParameterizedGroundedBeliefAction
copy() - Method in class burlap.oomdp.singleagent.pomdp.beliefstate.tabular.HashableTabularBeliefStateFactory.HashableTabularBeliefState
copy() - Method in class burlap.oomdp.singleagent.pomdp.beliefstate.tabular.TabularBeliefState
copy() - Method in class burlap.oomdp.statehashing.HashableObject
copy() - Method in class burlap.oomdp.statehashing.ImmutableStateHashableStateFactory.ImmutableHashableState
copy() - Method in class burlap.oomdp.statehashing.SimpleHashableStateFactory.SimpleCachedHashableState
copy() - Method in class burlap.oomdp.statehashing.SimpleHashableStateFactory.SimpleHashableState
copy() - Method in class burlap.oomdp.stochasticgames.agentactions.GroundedSGAgentAction
copy() - Method in class burlap.oomdp.stochasticgames.agentactions.ObParamSGAgentAction.GroundedObParamSGAgentAction
copy() - Method in class burlap.oomdp.stochasticgames.agentactions.SimpleGroundedSGAgentAction
copy() - Method in class burlap.oomdp.stochasticgames.JointAction
copy() - Method in class burlap.oomdp.visualizer.Visualizer
copyTransitionDynamics() - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain: Returns a deep copy of the transition dynamics
correctDoor - Variable in class burlap.domain.singleagent.pomdp.tiger.TigerDomain.TigerRF: the reward for opening the correct door
CorrelatedEquilibrium - Class in burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.equilibriumsolvers: Computes the correlated equilibrium strategy.
CorrelatedEquilibrium() - Constructor for class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.equilibriumsolvers.CorrelatedEquilibrium
CorrelatedEquilibrium(CorrelatedEquilibriumSolver.CorrelatedEquilibriumObjective) - Constructor for class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.equilibriumsolvers.CorrelatedEquilibrium
CorrelatedEquilibriumSolver - Class in burlap.behavior.stochasticgames.solvers: This class provides static methods for solving correlated equilibrium problems for Bimatrix games or values represented in a Bimatrix.
CorrelatedEquilibriumSolver() - Constructor for class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver
CorrelatedEquilibriumSolver.CorrelatedEquilibriumObjective - Enum in burlap.behavior.stochasticgames.solvers: The four different equilibrium objectives that can be used: UTILITARIAN, EGALITARIAN, REPUBLICAN, and LIBERTARIAN.
CorrelatedQ - Class in burlap.behavior.stochasticgames.madynamicprogramming.backupOperators: A correlated Q backup operator [1] for using in stochastic game multi-agent Q-learning or dynamic programming.
CorrelatedQ(CorrelatedEquilibriumSolver.CorrelatedEquilibriumObjective) - Constructor for class burlap.behavior.stochasticgames.madynamicprogramming.backupOperators.CorrelatedQ: Initializes an operator for the given correlated equilibrium objective.
cosScale - Variable in class burlap.domain.singleagent.mountaincar.MountainCar.MCPhysicsParams: Constant factor multiplied by the agent position inside the cosine that defines the shape of the curve.
costWeight - Variable in class burlap.behavior.singleagent.planning.deterministic.informed.astar.WeightedGreedy: The cost function weight.
createDeviationRenderer() - Method in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: Creates a DeviationRenderer to use for the trial average plots
createDeviationRenderer() - Method in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: Creates a DeviationRenderer to use for the trial average plots
createGridWorldBasedValueFunctionVisualizerGUI(List<State>, ValueFunction, Policy, String, String, String, String, String, String, String) - Static method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionVisualizerGUI: A method for creating common 2D arrow glyped value function and policy visualization.
createRepeatedGameWorld(SGAgent...) - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame: Creates a world instance for this game in which the provided agents join in the order they are passed.
createRepeatedGameWorld(SGDomain, SGAgent...) - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame: Creates a world instance for this game in which the provided agents join in the order they are passed.
createUnmodeledFavoredPolicy() - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax
critic - Variable in class burlap.behavior.singleagent.learning.actorcritic.ActorCritic: The critic component to use
Critic - Interface in burlap.behavior.singleagent.learning.actorcritic: This interface provides the methods necessary for implementing the critic part of an actor-critic learning algorithm.
critique - Variable in class burlap.behavior.singleagent.learning.actorcritic.CritiqueResult: The critique of this behavior.
critiqueAndUpdate(State, GroundedAction, State) - Method in interface burlap.behavior.singleagent.learning.actorcritic.Critic: This method's implementation provides the critique for some specific instance of the behavior.
critiqueAndUpdate(State, GroundedAction, State) - Method in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda
critiqueAndUpdate(State, GroundedAction, State) - Method in class burlap.behavior.singleagent.learning.actorcritic.critics.TimeIndexedTDLambda
CritiqueResult - Class in burlap.behavior.singleagent.learning.actorcritic: The CritiqueResult class stores the relevant information regarding a critique of behavior.
CritiqueResult(State, GroundedAction, State, double) - Constructor for class burlap.behavior.singleagent.learning.actorcritic.CritiqueResult: Initializes with a state-action-state behavior tuple and the value of the critique for this behavior.
crossesWall(GridGameStandardMechanics.Location2, GridGameStandardMechanics.Location2, ObjectInstance, boolean) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics: Returns true if the agent would cross a given wall instance given a movement attempt.
cseAvgSeries - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.AgentDatasets: All trial's average cumulative steps per episode series data
cseAvgSeries - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.AgentDatasets: All trial's average cumulative steps per episode series data
csrAvgSeries - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.AgentDatasets: All trial's average cumulative reward per step series data
csrAvgSeries - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.AgentDatasets: All trial's average cumulative reward per step series data
cumulatedRewardMap - Variable in class burlap.behavior.singleagent.planning.deterministic.informed.astar.AStar: Data structure for maintaining g(n): the cost so far to node n
cumulativeDiscount - Variable in class burlap.behavior.singleagent.options.Option: How much to discount the reward in the next option step
cumulativeEpisodeReward - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.Trial: Stores the cumulative reward by episode
cumulativeEpisodeReward - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.Trial: Stores the cumulative reward by episode
cumulativeEpisodeRewardSeries - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.AgentDatasets: Most recent trial's cumulative reward per step episode data
cumulativeEpisodeRewardSeries - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.AgentDatasets: Most recent trial's cumulative reward per step episode data
cumulativeStepEpisode - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.Trial: Stores the cumulative steps by episode
cumulativeStepEpisode - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.Trial: Stores the cumulative steps by episode
cumulativeStepEpisodeSeries - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.AgentDatasets: Most recent trial's cumulative steps per step episode data
cumulativeStepEpisodeSeries - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.AgentDatasets: Most recent trial's cumulative steps per step episode data
cumulativeStepReward - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.Trial: Stores the cumulative reward by step
cumulativeStepReward - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.Trial: Stores the cumulative reward by step
cumulativeStepRewardSeries - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.AgentDatasets: Most recent trial's cumulative reward per step series data
cumulativeStepRewardSeries - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.AgentDatasets: Most recent trial's cumulative reward per step series data
curAgentDatasets - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: contains the plot series data that will be displayed for the current agent
curAgentName - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: The name of the current agent being tested
curBelief - Variable in class burlap.oomdp.singleagent.pomdp.BeliefAgent: The agent's current BeliefState
curEA - Variable in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer
curEpisode - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: the current episode that was recorded
curEpisode - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: the current episode that was recorded
curEpisode - Variable in class burlap.shell.command.env.EpisodeRecordingCommands
curEpisodeReward - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.Trial: The cumulative reward of the episode so far
curEpisodeReward - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.Trial: The cumulative reward of the episode so far
curEpisodeRewards - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.Trial: A list of the reward sequence in the current episode
curEpisodeRewards - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.Trial: A list of the reward sequence in the current episode
curEpisodeSteps - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.Trial: The number of steps in the episode so far
curEpisodeSteps - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.Trial: The number of steps in the episode so far
curGA - Variable in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer
curIndex - Variable in class burlap.behavior.singleagent.options.MacroAction: the current execution index of the macro-action sequence.
curObservation - Variable in class burlap.oomdp.singleagent.pomdp.SimulatedPOEnvironment: The current observation from the POMDP environment
currentActionOffset - Variable in class burlap.behavior.singleagent.vfa.common.LinearFVVFA
currentEpisode - Variable in class burlap.oomdp.singleagent.explorer.VisualExplorer
currentFeatures - Variable in class burlap.behavior.singleagent.vfa.common.LinearVFA
currentGameRecord - Variable in class burlap.oomdp.stochasticgames.World
currentGradient - Variable in class burlap.behavior.singleagent.vfa.common.LinearFVVFA
currentGradient - Variable in class burlap.behavior.singleagent.vfa.common.LinearVFA
currentState - Variable in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface: The current state of the world
currentState - Variable in class burlap.oomdp.stochasticgames.World
currentStateFeatures - Variable in class burlap.behavior.singleagent.vfa.common.LinearFVVFA
currentValue - Variable in class burlap.behavior.singleagent.vfa.common.LinearFVVFA
currentValue - Variable in class burlap.behavior.singleagent.vfa.common.LinearVFA
currentValueFunctionIsLower - Variable in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP: Whether the current DynamicProgramming valueFunction reference points to the lower bound value function or the upper bound value function.
curState - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface: The current state of the environment
curState - Variable in class burlap.oomdp.singleagent.environment.SimulatedEnvironment: The current state of the environment
curState - Variable in class burlap.oomdp.singleagent.interfaces.rlglue.RLGlueEnvironment: The current state of the environment
curState - Variable in class burlap.oomdp.visualizer.StateRenderLayer: the current state to be painted next
curStateIsTerminal - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface: Whether the current state is a terminal state
curStateIsTerminal - Variable in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface: Whether the last state was a terminal state
curTime - Variable in class burlap.behavior.singleagent.learning.actorcritic.critics.TimeIndexedTDLambda: The current time index / depth of the current episode
curTimeStep - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: the current time step that was recorded
curTimeStep - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: the current time step that was recorded
curTrial - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: Contains all the current trial performance data
CWGInit(SGDomain, JointReward, TerminalFunction, SGStateGenerator, StateAbstraction) - Method in class burlap.oomdp.stochasticgames.tournament.common.ConstantWorldGenerator
cWidth - Variable in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer
cWidth - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionVisualizerGUI: Visualizer canvas width
cWidth - Variable in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer
cWidth - Variable in class burlap.oomdp.singleagent.common.VisualActionObserver: The width of the painter
cWidth - Variable in class burlap.oomdp.singleagent.explorer.VisualExplorer
cWidth - Variable in class burlap.oomdp.stochasticgames.common.VisualWorldObserver: The width of the painter
cWidth - Variable in class burlap.oomdp.stochasticgames.explorers.SGVisualExplorer

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