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.model.BFSMarkovOptionModel.CachedModel

The cached transition probabilities from each initiation state

CachedModel() - Constructor for class burlap.behavior.singleagent.options.model.BFSMarkovOptionModel.CachedModel

cachedModels - Variable in class burlap.behavior.singleagent.options.model.BFSMarkovOptionModel

CachedPolicy - Class in burlap.behavior.policy

This class can be used to lazily cache the policy of a source policy.

CachedPolicy(HashableStateFactory, EnumerablePolicy) - Constructor for class burlap.behavior.policy.CachedPolicy

Initializes

CachedPolicy(HashableStateFactory, EnumerablePolicy, int) - Constructor for class burlap.behavior.policy.CachedPolicy

Initializes

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.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.SetVarCommand

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.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.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.SetVarSGCommand

call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.command.world.WorldObservationCommand

call(BurlapShell, String, Scanner, PrintStream) - Method in class burlap.shell.visual.VisualExplorer.LivePollCommand

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.CartPoleTerminalFunction - Class in burlap.domain.singleagent.cartpole

A default terminal function for this domain.

CartPoleDomain.CPPhysicsParams - Class in burlap.domain.singleagent.cartpole

CartPoleFullState - Class in burlap.domain.singleagent.cartpole.states

CartPoleFullState() - Constructor for class burlap.domain.singleagent.cartpole.states.CartPoleFullState

CartPoleFullState(double, double, double, double, double) - Constructor for class burlap.domain.singleagent.cartpole.states.CartPoleFullState

CartPolePainter() - Constructor for class burlap.domain.singleagent.cartpole.CartPoleVisualizer.CartPolePainter

CartPoleRewardFunction() - Constructor for class burlap.domain.singleagent.cartpole.CartPoleDomain.CartPoleRewardFunction

Initializes with max pole angle threshold of 12 degrees (about 0.2 radians)

CartPoleRewardFunction(double) - Constructor for class burlap.domain.singleagent.cartpole.CartPoleDomain.CartPoleRewardFunction

Initializes with a max pole angle as specified in radians

CartPoleState - Class in burlap.domain.singleagent.cartpole.states

CartPoleState() - Constructor for class burlap.domain.singleagent.cartpole.states.CartPoleState

CartPoleState(double, double, double, double) - Constructor for class burlap.domain.singleagent.cartpole.states.CartPoleState

CartPoleTerminalFunction() - Constructor for class burlap.domain.singleagent.cartpole.CartPoleDomain.CartPoleTerminalFunction

Initializes with default max angle of 12 degrees (about 0.2 radians)

CartPoleTerminalFunction(double) - Constructor for class burlap.domain.singleagent.cartpole.CartPoleDomain.CartPoleTerminalFunction

Initializes with a max pole angle as specified in radians

CartPoleVisualizer - Class in burlap.domain.singleagent.cartpole

Class for returning cart pole visualizer objects.

CartPoleVisualizer.CartPolePainter - Class in burlap.domain.singleagent.cartpole

An object painter for the cart pole object.

CellPainter(Color, int[][]) - Constructor for class burlap.domain.singleagent.gridworld.GridWorldVisualizer.CellPainter

Initializes painter for a rectangle shape cell

CellPainter(int, Color, int[][]) - Constructor for class burlap.domain.singleagent.gridworld.GridWorldVisualizer.CellPainter

Initializes painter with filling the cell with the given shape

cellWidth() - Method in class burlap.behavior.singleagent.auxiliary.gridset.VariableGridSpec

Returns the width of a grid cell along this attribute.

centeredState - Variable in class burlap.behavior.functionapproximation.dense.rbf.RBF

The center state of the RBF 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.mdp.singleagent.common.VisualActionObserver

The height of the painter

cHeight - Variable in class burlap.mdp.stochasticgames.common.VisualWorldObserver

The height of the painter

cHeight - Variable in class burlap.shell.visual.SGVisualExplorer

cHeight - Variable in class burlap.shell.visual.VisualExplorer

cl(int, String) - Static method in class burlap.debugtools.DPrint

A print line command for the given debug code.

CLASS_AGENT - Static variable in class burlap.domain.singleagent.blockdude.BlockDude

Name for the agent OO-MDP class

CLASS_AGENT - Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain

Constant for the name of the agent OO-MDP class

CLASS_AGENT - Static variable in class burlap.domain.singleagent.gridworld.GridWorldDomain

Constant OO-MDP class name for agent

CLASS_AGENT - Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Constant for the name of the agent OO-MDP class

CLASS_AGENT - Static variable in class burlap.domain.stochasticgames.gridgame.GridGame

A constant for the name of the agent class.

CLASS_BLOCK - Static variable in class burlap.domain.singleagent.blockdude.BlockDude

Name for the block OO-MDP class

CLASS_BLOCK - Static variable in class burlap.domain.singleagent.blocksworld.BlocksWorld

Constant for the name of the block class.

CLASS_DIM_H_WALL - Static variable in class burlap.domain.stochasticgames.gridgame.GridGame

A constant for the name of the horizontal wall class.

CLASS_DIM_V_WALL - Static variable in class burlap.domain.stochasticgames.gridgame.GridGame

A constant for the name of the vertical wall class.

CLASS_EXIT - Static variable in class burlap.domain.singleagent.blockdude.BlockDude

Name for the exit OO-MDP class

CLASS_GOAL - Static variable in class burlap.domain.stochasticgames.gridgame.GridGame

A constant for the name of the goal class.

CLASS_IGLOO - Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain

Constant for the name of the igloo OO-MDP class

CLASS_LOCATION - Static variable in class burlap.domain.singleagent.gridworld.GridWorldDomain

Constant OO-MDP class name for a location

CLASS_MAP - Static variable in class burlap.domain.singleagent.blockdude.BlockDude

Name for the bricks OO-MDP class

CLASS_OBSTACLE - Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Constant for the name of the obstacle OO-MDP class

CLASS_PAD - Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Constant for the name of the goal landing pad OO-MDP class

CLASS_PLATFORM - Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain

Constant for the name of the obstacle OO-MDP class

classesToGrid - Variable in class burlap.behavior.singleagent.auxiliary.gridset.OOStateGridder

ClassicMCTF() - Constructor for class burlap.domain.singleagent.mountaincar.MountainCar.ClassicMCTF

Sets terminal states to be those that are >= the maximum position in the world.

ClassicMCTF(double) - Constructor for class burlap.domain.singleagent.mountaincar.MountainCar.ClassicMCTF

Sets terminal states to be those >= the given threshold.

className() - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeAgent

className - Variable in class burlap.domain.singleagent.blockdude.state.BlockDudeCell

className() - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeCell

className() - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeMap

className() - Method in class burlap.domain.singleagent.blocksworld.BlocksWorldBlock

className() - Method in class burlap.domain.singleagent.frostbite.state.FrostbiteAgent

className() - Method in class burlap.domain.singleagent.frostbite.state.FrostbiteIgloo

className() - Method in class burlap.domain.singleagent.frostbite.state.FrostbitePlatform

className() - Method in class burlap.domain.singleagent.gridworld.state.GridAgent

className() - Method in class burlap.domain.singleagent.gridworld.state.GridLocation

className() - Method in class burlap.domain.singleagent.lunarlander.state.LLAgent

className() - Method in class burlap.domain.singleagent.lunarlander.state.LLBlock.LLObstacle

className() - Method in class burlap.domain.singleagent.lunarlander.state.LLBlock.LLPad

className() - Method in class burlap.domain.stochasticgames.gridgame.state.GGAgent

className() - Method in class burlap.domain.stochasticgames.gridgame.state.GGGoal

className() - Method in class burlap.domain.stochasticgames.gridgame.state.GGWall.GGHorizontalWall

className() - Method in class burlap.domain.stochasticgames.gridgame.state.GGWall.GGVerticalWall

className() - Method in interface burlap.mdp.core.oo.state.ObjectInstance

Returns the name of this OO-MDP object class

clear() - Method in class burlap.behavior.singleagent.learning.lspi.SARSData

Clears this dataset of all elements.

clear - Variable in class burlap.domain.singleagent.blocksworld.BlocksWorldBlock

clearActions() - Method in class burlap.behavior.policy.RandomPolicy

Clears the action list used in action selection.

clearActionTypes() - Method in class burlap.mdp.singleagent.SADomain

Clears all ActionTypes specified for this domain.

clearAllAttributeMasks() - Method in class burlap.statehashing.masked.MaskedConfig

Clears all state variable masks.

clearAllAttributeMasks() - Method in class burlap.statehashing.masked.MaskedHashableStateFactory

Clears all state variable masks.

clearAllObjectClassMasks() - Method in class burlap.statehashing.masked.MaskedConfig

Clears all object class masks.

clearAllObjectClassMasks() - Method in class burlap.statehashing.masked.MaskedHashableStateFactory

Clears all object class masks.

clearAllObservers() - Method in class burlap.mdp.singleagent.environment.extensions.EnvironmentServer

Clears all EnvironmentObservers from this server.

clearAllObservers() - Method in interface burlap.mdp.singleagent.environment.extensions.EnvironmentServerInterface

Clears all EnvironmentObservers from this server.

clearAllObservers() - Method in class burlap.mdp.singleagent.environment.SimulatedEnvironment

clearAllWorldObserver() - Method in class burlap.mdp.stochasticgames.world.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.

ClearPF(String) - Constructor for class burlap.domain.singleagent.blocksworld.BlocksWorld.ClearPF

clearRenderedStateAction() - Method in class burlap.visualizer.StateActionRenderLayer

Sets the State and Action to render to null, which will prevent calls to the method StateActionRenderLayer.renderStateAction(java.awt.Graphics2D, State, Action, 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.mdp.core.oo.propositional.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.

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

CoCoQLearningFactory(SGDomain, double, LearningRate, HashableStateFactory, QFunction, boolean, double) - Constructor for class burlap.behavior.stochasticgames.agents.maql.MAQLFactory.CoCoQLearningFactory

coefficientNorm(int) - Method in class burlap.behavior.functionapproximation.dense.fourier.FourierBasis

Returns the norm of the coefficient vector for the given basis function index.

coefficientVectors - Variable in class burlap.behavior.functionapproximation.dense.fourier.FourierBasis

The coefficient vectors used

col - Variable in class burlap.domain.singleagent.blocksworld.BlocksWorld.NamedColor

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

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, SampleModel, int, 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, SampleModel, int, 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, SampleModel, int, int, 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

color - Variable in class burlap.domain.singleagent.blocksworld.BlocksWorld.ColorPF

color - Variable in class burlap.domain.singleagent.blocksworld.BlocksWorldBlock

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.

ColorPF(BlocksWorld.NamedColor) - Constructor for class burlap.domain.singleagent.blocksworld.BlocksWorld.ColorPF

colors - Variable in class burlap.domain.singleagent.blocksworld.BlocksWorld

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<StateTransitionProb>) - 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.

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.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.SetVarCommand

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.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.RemoveStateObjectSGCommand

commandName() - Method in class burlap.shell.command.world.RewardsCommand

commandName() - Method in class burlap.shell.command.world.SetVarSGCommand

commandName() - Method in class burlap.shell.command.world.WorldObservationCommand

commandName() - Method in class burlap.shell.visual.VisualExplorer.LivePollCommand

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, Action, DifferentiableQFunction, 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, Action, HashableState, double) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.AStar

computeF(PrioritizedSearchNode, Action, HashableState, EnvironmentOutcome) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.DynamicWeightedAStar

computeF(PrioritizedSearchNode, Action, HashableState, double) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.StaticWeightedAStar

computeF(PrioritizedSearchNode, Action, HashableState, double) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.WeightedGreedy

computeF(PrioritizedSearchNode, Action, HashableState, double) - 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.

computeFlatHashCode(State) - Method in class burlap.statehashing.simple.IDSimpleHashableState

computeFlatHashCode(State) - Method in class burlap.statehashing.simple.IISimpleHashableState

computeHashCode(State) - Method in class burlap.statehashing.simple.IDSimpleHashableState

Computes the hash code for the input state.

computeHashCode(State) - Method in class burlap.statehashing.simple.IISimpleHashableState

Computes the hash code for the input state.

computeOOHashCode(OOState) - Method in class burlap.statehashing.masked.IDMaskedHashableState

computeOOHashCode(OOState) - Method in class burlap.statehashing.masked.IIMaskedHashableState

computeOOHashCode(OOState) - Method in class burlap.statehashing.maskeddiscretized.IDDiscMaskedHashableState

computeOOHashCode(OOState) - Method in class burlap.statehashing.maskeddiscretized.IIDiscMaskedHashableState

computeOOHashCode(OOState) - Method in class burlap.statehashing.simple.IDSimpleHashableState

computeOOHashCode(OOState) - Method in class burlap.statehashing.simple.IISimpleHashableState

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(Episode) - 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, Action) - Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming

Computes the Q-value This computation *is* compatible with Option objects.

computeQGradient(State, Action) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableDP

Computes the Q-value gradient for the given State and Action.

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 computes the exact finite horizon value function (by using the full transition dynamics) or whether it estimates the value function with sampling.

computeTempNormalized() - Method in class burlap.datastructures.BoltzmannDistribution

Computes the temperature normalized preference values

computeTransitions(State, Option, HashedAggregator<HashableState>, double[]) - Method in class burlap.behavior.singleagent.options.model.BFSMarkovOptionModel

computeTransitions(State, Option, HashedAggregator<HashableState>, double[]) - Method in class burlap.behavior.singleagent.options.model.BFSNonMarkovOptionModel

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.

ConcatenatedObjectFeatures - Class in burlap.behavior.functionapproximation.dense

This class is used to produce a state feature vector from an OOState by iterating over the objects, generating a double array for each object, and concatenating the reslting vectors into one vector.

ConcatenatedObjectFeatures() - Constructor for class burlap.behavior.functionapproximation.dense.ConcatenatedObjectFeatures

ConcatenatedObjectFeatures(List<String>, Map<String, DenseStateFeatures>) - Constructor for class burlap.behavior.functionapproximation.dense.ConcatenatedObjectFeatures

config - Variable in class burlap.statehashing.discretized.DiscretizingHashableStateFactory

The discretization config

config - Variable in class burlap.statehashing.discretized.IDDiscHashableState

config - Variable in class burlap.statehashing.discretized.IIDiscHashableState

config - Variable in class burlap.statehashing.masked.IDMaskedHashableState

config - Variable in class burlap.statehashing.masked.IIMaskedHashableState

config - Variable in class burlap.statehashing.masked.MaskedHashableStateFactory

config - Variable in class burlap.statehashing.maskeddiscretized.IDDiscMaskedHashableState

config - Variable in class burlap.statehashing.maskeddiscretized.IIDiscMaskedHashableState

consoleFrame - Variable in class burlap.shell.visual.SGVisualExplorer

consoleFrame - Variable in class burlap.shell.visual.VisualExplorer

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

ConstantMADPPlannerFactory(MADynamicProgramming) - Constructor for class burlap.behavior.stochasticgames.agents.madp.MADPPlannerFactory.ConstantMADPPlannerFactory

Initializes with a given valueFunction reference.

ConstantStateGenerator - Class in burlap.mdp.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.mdp.auxiliary.common.ConstantStateGenerator

This class takes a source state as input as returns copies of it for every call of generateState().

ConstantValueFunction - Class in burlap.behavior.valuefunction

A QFunction implementation that always returns a constant value.

ConstantValueFunction() - Constructor for class burlap.behavior.valuefunction.ConstantValueFunction

Will cause this object to return 0 for all initialization values.

ConstantValueFunction(double) - Constructor for class burlap.behavior.valuefunction.ConstantValueFunction

Will cause this object to return value for all initialization values.

ConstantWorldGenerator - Class in burlap.mdp.stochasticgames.tournament.common

A WorldGenerator that always generators the same WorldConfiguraiton.

ConstantWorldGenerator(SGDomain, JointModel, JointRewardFunction, TerminalFunction, StateGenerator) - Constructor for class burlap.mdp.stochasticgames.tournament.common.ConstantWorldGenerator

Deprecated.

ConstantWorldGenerator(SGDomain, JointRewardFunction, TerminalFunction, StateGenerator) - Constructor for class burlap.mdp.stochasticgames.tournament.common.ConstantWorldGenerator

Initializes the WorldGenerator.

ConstantWorldGenerator(SGDomain, JointModel, JointRewardFunction, TerminalFunction, StateGenerator, StateMapping) - Constructor for class burlap.mdp.stochasticgames.tournament.common.ConstantWorldGenerator

Deprecated.

ConstantWorldGenerator(SGDomain, JointRewardFunction, TerminalFunction, StateGenerator, StateMapping) - Constructor for class burlap.mdp.stochasticgames.tournament.common.ConstantWorldGenerator

Initializes the WorldGenerator.

constructBimatrix(State, List<Action>) - 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.mdp.singleagent.environment.extensions.EnvironmentServer

Constructs an EnvironmentServer or EnvironmentServer.StateSettableEnvironmentServer, based on whether the input delegate implements StateSettableEnvironment.

constructServerOrAddObservers(Environment, EnvironmentObserver...) - Static method in class burlap.mdp.singleagent.environment.extensions.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

containsParameterizedActions - Variable in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor

Indicates whether the actions that this agent can perform are parameterized

control(Environment, double) - Method in class burlap.behavior.singleagent.options.MacroAction

control(Environment, double) - Method in interface burlap.behavior.singleagent.options.Option

control(Option, Environment, double) - Static method in class burlap.behavior.singleagent.options.Option.Helper

control(Environment, double) - Method in class burlap.behavior.singleagent.options.SubgoalOption

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.qValues(State) and FittedVI.qValue(State, Action) methods used for control.

convertIntoObservation(State) - Method in class burlap.domain.singleagent.rlglue.RLGlueEnvironment

Takes a OO-MDP state and converts it into an RLGlue observation

copy() - Method in class burlap.behavior.functionapproximation.dense.ConcatenatedObjectFeatures

copy() - Method in class burlap.behavior.functionapproximation.dense.DenseCrossProductFeatures

copy() - Method in class burlap.behavior.functionapproximation.dense.DenseLinearVFA

copy() - Method in interface burlap.behavior.functionapproximation.dense.DenseStateActionFeatures

Returns a copy of this DenseStateActionFeatures

copy() - Method in class burlap.behavior.functionapproximation.dense.DenseStateActionLinearVFA

copy() - Method in interface burlap.behavior.functionapproximation.dense.DenseStateFeatures

Returns a copy of this DenseStateFeatures

copy() - Method in class burlap.behavior.functionapproximation.dense.fourier.FourierBasis

copy() - Method in class burlap.behavior.functionapproximation.dense.NormalizedVariableFeatures

copy() - Method in class burlap.behavior.functionapproximation.dense.NumericVariableFeatures

copy() - Method in class burlap.behavior.functionapproximation.dense.PFFeatures

copy() - Method in class burlap.behavior.functionapproximation.dense.rbf.RBFFeatures

copy() - Method in class burlap.behavior.functionapproximation.dense.SparseToDenseFeatures

copy() - Method in interface burlap.behavior.functionapproximation.ParametricFunction

Returns a copy of this ParametricFunction.

copy() - Method in class burlap.behavior.functionapproximation.sparse.LinearVFA

copy() - Method in class burlap.behavior.functionapproximation.sparse.SparseCrossProductFeatures

copy() - Method in class burlap.behavior.functionapproximation.sparse.SparseCrossProductFeatures.FeaturesMap

copy() - Method in interface burlap.behavior.functionapproximation.sparse.SparseStateActionFeatures

Returns a deep copy of this features function.

copy() - Method in interface burlap.behavior.functionapproximation.sparse.SparseStateFeatures

Returns a deep copy of this feature database.

copy() - Method in class burlap.behavior.functionapproximation.sparse.tilecoding.TileCodingFeatures

copy() - Method in class burlap.behavior.policy.support.AnnotatedAction

copy() - Method in class burlap.behavior.singleagent.Episode

Returns a copy of this Episode.

copy() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain.RLGlueActionType.RLGLueAction

copy() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueState

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.options.MacroAction

copy() - Method in class burlap.behavior.singleagent.options.SubgoalOption

copy() - Method in class burlap.behavior.stochasticgames.agents.naiveq.history.HistoryState

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.blockdude.state.BlockDudeAgent

copy() - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeCell

copy() - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeMap

copy() - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeState

copy() - Method in class burlap.domain.singleagent.blocksworld.BlocksWorldBlock

copy() - Method in class burlap.domain.singleagent.blocksworld.BlocksWorldState

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.cartpole.states.CartPoleFullState

copy() - Method in class burlap.domain.singleagent.cartpole.states.CartPoleState

copy() - Method in class burlap.domain.singleagent.cartpole.states.InvertedPendulumState

copy() - Method in class burlap.domain.singleagent.frostbite.state.FrostbiteAgent

copy() - Method in class burlap.domain.singleagent.frostbite.state.FrostbiteIgloo

copy() - Method in class burlap.domain.singleagent.frostbite.state.FrostbitePlatform

copy() - Method in class burlap.domain.singleagent.frostbite.state.FrostbiteState

copy() - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphActionType.GraphAction

copy() - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.NodeTransitionProbability

copy() - Method in class burlap.domain.singleagent.graphdefined.GraphStateNode

copy() - Method in class burlap.domain.singleagent.gridworld.state.GridAgent

copy() - Method in class burlap.domain.singleagent.gridworld.state.GridLocation

copy() - Method in class burlap.domain.singleagent.gridworld.state.GridWorldState

copy() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.LLPhysicsParams

copy() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.ThrustType.ThrustAction

copy() - Method in class burlap.domain.singleagent.lunarlander.state.LLAgent

copy() - Method in class burlap.domain.singleagent.lunarlander.state.LLBlock

copy() - Method in class burlap.domain.singleagent.lunarlander.state.LLBlock.LLObstacle

copy() - Method in class burlap.domain.singleagent.lunarlander.state.LLBlock.LLPad

copy() - Method in class burlap.domain.singleagent.lunarlander.state.LLState

copy() - Method in class burlap.domain.singleagent.mountaincar.MCState

copy() - Method in class burlap.domain.singleagent.mountaincar.MountainCar.MCPhysicsParams

copy() - Method in class burlap.domain.singleagent.pomdp.tiger.TigerObservation

copy() - Method in class burlap.domain.singleagent.pomdp.tiger.TigerState

copy() - Method in class burlap.domain.stochasticgames.gridgame.state.GGAgent

copy() - Method in class burlap.domain.stochasticgames.gridgame.state.GGGoal

copy() - Method in class burlap.domain.stochasticgames.gridgame.state.GGWall.GGHorizontalWall

copy() - Method in class burlap.domain.stochasticgames.gridgame.state.GGWall.GGVerticalWall

copy() - Method in class burlap.domain.stochasticgames.normalform.NFGameState

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.MatrixAction

copy() - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.StrategyProfile

copy() - Method in interface burlap.mdp.core.action.Action

Returns a copy of this grounded action.

copy() - Method in class burlap.mdp.core.action.SimpleAction

copy() - Method in class burlap.mdp.core.oo.state.generic.DeepOOState

copy() - Method in class burlap.mdp.core.oo.state.generic.GenericOOState

copy() - Method in class burlap.mdp.core.state.NullState

copy() - Method in interface burlap.mdp.core.state.State

Returns a copy of this state suitable for creating state transitions.

copy() - Method in class burlap.mdp.singleagent.oo.ObjectParameterizedActionType.SAObjectParameterizedAction

copy() - Method in class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefState

copy() - Method in class burlap.mdp.stochasticgames.JointAction

copy() - Method in class burlap.statehashing.discretized.DiscConfig

copy() - Method in class burlap.statehashing.masked.MaskedConfig

copy() - Method in class burlap.visualizer.Visualizer

copyBlocks() - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeState

copyTransitionDynamics() - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain

Returns a deep copy of the transition dynamics

copyWithName(String) - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeAgent

copyWithName(String) - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeCell

copyWithName(String) - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeMap

copyWithName(String) - Method in class burlap.domain.singleagent.blocksworld.BlocksWorldBlock

copyWithName(String) - Method in class burlap.domain.singleagent.frostbite.state.FrostbiteAgent

copyWithName(String) - Method in class burlap.domain.singleagent.frostbite.state.FrostbiteIgloo

copyWithName(String) - Method in class burlap.domain.singleagent.frostbite.state.FrostbitePlatform

copyWithName(String) - Method in class burlap.domain.singleagent.gridworld.state.GridAgent

copyWithName(String) - Method in class burlap.domain.singleagent.gridworld.state.GridLocation

copyWithName(String) - Method in class burlap.domain.singleagent.lunarlander.state.LLAgent

copyWithName(String) - Method in class burlap.domain.singleagent.lunarlander.state.LLBlock

copyWithName(String) - Method in class burlap.domain.stochasticgames.gridgame.state.GGAgent

copyWithName(String) - Method in class burlap.domain.stochasticgames.gridgame.state.GGGoal

copyWithName(String) - Method in class burlap.domain.stochasticgames.gridgame.state.GGWall.GGHorizontalWall

copyWithName(String) - Method in class burlap.domain.stochasticgames.gridgame.state.GGWall.GGVerticalWall

copyWithName(String) - Method in interface burlap.mdp.core.oo.state.ObjectInstance

Returns a copy of this ObjectInstance with the specified name

correctDoor - Variable in class burlap.domain.singleagent.pomdp.tiger.TigerModel

the reward for opening the correct door

correctDoorReward - Variable in class burlap.domain.singleagent.pomdp.tiger.TigerDomain

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.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.

CPClassicModel - Class in burlap.domain.singleagent.cartpole.model

CPClassicModel(CartPoleDomain.CPPhysicsParams) - Constructor for class burlap.domain.singleagent.cartpole.model.CPClassicModel

CPCorrectModel - Class in burlap.domain.singleagent.cartpole.model

CPCorrectModel(CartPoleDomain.CPPhysicsParams) - Constructor for class burlap.domain.singleagent.cartpole.model.CPCorrectModel

CPPhysicsParams() - Constructor for class burlap.domain.singleagent.cartpole.CartPoleDomain.CPPhysicsParams

CPPhysicsParams(double, double, double, double, double, double, double, double, double, double, double, double, boolean, boolean) - Constructor for class burlap.domain.singleagent.cartpole.CartPoleDomain.CPPhysicsParams

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, Object, Object, VariableDomain, VariableDomain, double, double, 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(EnvironmentOutcome) - Method in interface burlap.behavior.singleagent.learning.actorcritic.Critic

This method's implementation provides the critique for some specific instance of the behavior.

critiqueAndUpdate(EnvironmentOutcome) - Method in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda

critiqueAndUpdate(EnvironmentOutcome) - 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, Action, 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

cumulativeDiscountedReward - Variable in class burlap.behavior.singleagent.options.model.BFSMarkovOptionModel.OptionScanNode

The cumulative discounted reward received reaching this node.

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.mdp.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

curHState - Variable in class burlap.behavior.stochasticgames.agents.naiveq.history.SGQWActionHistory

curObservation - Variable in class burlap.mdp.singleagent.pomdp.SimulatedPOEnvironment

The current observation from the POMDP environment

currentActionOffset - Variable in class burlap.behavior.functionapproximation.dense.DenseLinearVFA

currentFeatures - Variable in class burlap.behavior.functionapproximation.dense.DenseStateActionLinearVFA

currentFeatures - Variable in class burlap.behavior.functionapproximation.sparse.LinearVFA

currentGameEpisodeRecord - Variable in class burlap.mdp.stochasticgames.world.World

currentGradient - Variable in class burlap.behavior.functionapproximation.dense.DenseLinearVFA

currentGradient - Variable in class burlap.behavior.functionapproximation.dense.DenseStateActionLinearVFA

currentGradient - Variable in class burlap.behavior.functionapproximation.sparse.LinearVFA

currentObservation() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent

currentObservation() - Method in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface

currentObservation() - Method in interface burlap.mdp.singleagent.environment.Environment

Returns the current observation of the environment as a State.

currentObservation() - Method in class burlap.mdp.singleagent.environment.extensions.EnvironmentServer

currentObservation() - Method in class burlap.mdp.singleagent.environment.SimulatedEnvironment

currentObservation() - Method in class burlap.mdp.singleagent.pomdp.SimulatedPOEnvironment

currentState - Variable in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface

The current state of the world

currentState - Variable in class burlap.mdp.stochasticgames.world.World

currentStateFeatures - Variable in class burlap.behavior.functionapproximation.dense.DenseLinearVFA

currentValue - Variable in class burlap.behavior.functionapproximation.dense.DenseLinearVFA

currentValue - Variable in class burlap.behavior.functionapproximation.dense.DenseStateActionLinearVFA

currentValue - Variable in class burlap.behavior.functionapproximation.sparse.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.RLGlueAgent

The current state of the environment

curState - Variable in class burlap.behavior.stochasticgames.agents.naiveq.history.HistoryState

curState - Variable in class burlap.domain.singleagent.rlglue.RLGlueEnvironment

The current state of the environment

curState - Variable in class burlap.mdp.singleagent.environment.SimulatedEnvironment

The current state of the environment

curState - Variable in class burlap.visualizer.StateRenderLayer

the current state to be painted next

curStateIsTerminal - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent

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

CustomRewardModel - Class in burlap.behavior.singleagent.learnfromdemo

CustomRewardModel(SampleModel, RewardFunction) - Constructor for class burlap.behavior.singleagent.learnfromdemo.CustomRewardModel

CustomRewardNoTermModel(SampleModel, RewardFunction) - Constructor for class burlap.behavior.singleagent.learnfromdemo.RewardValueProjection.CustomRewardNoTermModel

CWGInit(SGDomain, JointRewardFunction, TerminalFunction, StateGenerator, StateMapping) - Method in class burlap.mdp.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.mdp.singleagent.common.VisualActionObserver

The width of the painter

cWidth - Variable in class burlap.mdp.stochasticgames.common.VisualWorldObserver

The width of the painter

cWidth - Variable in class burlap.shell.visual.SGVisualExplorer

cWidth - Variable in class burlap.shell.visual.VisualExplorer

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