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

I

id - Variable in class burlap.behavior.singleagent.vfa.cmac.FVCMACFeatureDatabase.ActionFeatureID

id - Variable in class burlap.behavior.singleagent.vfa.StateFeature

The state feature identifier

IDAStar - Class in burlap.behavior.singleagent.planning.deterministic.informed.astar

Iteratively deepening A* implementation.

IDAStar(Domain, RewardFunction, StateConditionTest, HashableStateFactory, Heuristic) - Constructor for class burlap.behavior.singleagent.planning.deterministic.informed.astar.IDAStar

Initializes the valueFunction.

identifierDependentEquals(ImmutableStateInterface, ImmutableStateInterface) - Method in class burlap.oomdp.statehashing.FixedSizeStateHashableStateFactory

Because the objects are assumed to be in a fixed order.

identifierDependentEquals(State, State) - Method in class burlap.oomdp.statehashing.MaskedHashableStateFactory

identifierDependentEquals(State, State) - Method in class burlap.oomdp.statehashing.SimpleHashableStateFactory

Evaluates whether two states are equal when equality depends on object identifiers/names being equal.

identifierIndependent - Variable in class burlap.oomdp.statehashing.SimpleHashableStateFactory

Whether state evaluations are object identifier independent (the names of objects don't matter).

identifierIndependentEquals(State, State) - Method in class burlap.oomdp.statehashing.MaskedHashableStateFactory

identifierIndependentEquals(State, State) - Method in class burlap.oomdp.statehashing.SimpleHashableStateFactory

Evaluates whether two states are equal when equality is independent of object identifiers/names being equal

identityScalar - Variable in class burlap.behavior.singleagent.learning.lspi.LSPI

The initial LSPI identity matrix scalar; default is 100.

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

Constant for the name of the igloo OO-MDP class

ImmutableHashableObjectFactory - Class in burlap.oomdp.statehashing

This is a HashingFactory specifically for ImmutableObjects.

ImmutableHashableObjectFactory(SimpleHashableStateFactory, boolean) - Constructor for class burlap.oomdp.statehashing.ImmutableHashableObjectFactory

ImmutableHashableObjectFactory.ImmutableHashableObject - Class in burlap.oomdp.statehashing

ImmutableHashableObjectFactory.ImmutableHashableObject(ImmutableObjectInstance) - Constructor for class burlap.oomdp.statehashing.ImmutableHashableObjectFactory.ImmutableHashableObject

ImmutableObjectInstance - Class in burlap.oomdp.core.objects

Object Instances are the primary element for defining states.

ImmutableObjectInstance(ObjectClass, String) - Constructor for class burlap.oomdp.core.objects.ImmutableObjectInstance

Initializes an object instance for a given object class and name.

ImmutableObjectInstance(ObjectInstance) - Constructor for class burlap.oomdp.core.objects.ImmutableObjectInstance

Creates a new object instance that is a shallow copy of the specified object instance's values.

ImmutableObjectInstance(ObjectClass, String, ImmutableList<Value>, int, boolean) - Constructor for class burlap.oomdp.core.objects.ImmutableObjectInstance

ImmutableObjectInstance(String, ImmutableObjectInstance) - Constructor for class burlap.oomdp.core.objects.ImmutableObjectInstance

ImmutableState - Class in burlap.oomdp.core.states

An immutable state cannot be changed (nor subclassed).

ImmutableState() - Constructor for class burlap.oomdp.core.states.ImmutableState

ImmutableState(State) - Constructor for class burlap.oomdp.core.states.ImmutableState

Constructs an immutable copy from any state object.

ImmutableState(List<ImmutableObjectInstance>, TObjectIntHashMap<String>) - Constructor for class burlap.oomdp.core.states.ImmutableState

ImmutableState(ImmutableList<ImmutableObjectInstance>, TObjectIntHashMap<String>, ImmutableList<TIntArrayList>, TObjectIntHashMap<String>, int) - Constructor for class burlap.oomdp.core.states.ImmutableState

ImmutableStateHashableStateFactory - Class in burlap.oomdp.statehashing

This Hashing factory works for states that implement the ImmutableStateInterface.

ImmutableStateHashableStateFactory(boolean) - Constructor for class burlap.oomdp.statehashing.ImmutableStateHashableStateFactory

ImmutableStateHashableStateFactory.ImmutableHashableState - Class in burlap.oomdp.statehashing

ImmutableStateHashableStateFactory.ImmutableHashableState(ImmutableStateInterface) - Constructor for class burlap.oomdp.statehashing.ImmutableStateHashableStateFactory.ImmutableHashableState

ImmutableStateInterface - Interface in burlap.oomdp.core.states

A state that implements this interface implies that it itself is immutable and the ObjectInstances it uses are immutable.

incAngle(State, double, LunarLanderDomain.LLPhysicsParams) - Static method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Turns the lander in the direction indicated by the domains defined change in angle for turn actions.

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

Whether this domain should include the do nothing action or not

ind - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain.RLGlueActionSpecification

The RLGlue action index

ingetDefault() - Method in class burlap.debugtools.RandomFactory

Returns the default random number generator.

ingetMapped(int) - Method in class burlap.debugtools.RandomFactory

Returns the random generator with the associated id or creates it if it does not yet exist

ingetMapped(String) - Method in class burlap.debugtools.RandomFactory

Returns the random generator with the associated String id or creates it if it does not yet exist

ingetOrSeedDefault(long) - Method in class burlap.debugtools.RandomFactory

Either return a the default random generator if it has already been created; or created it with the given seed if it has not been created.

ingetOrSeedMapped(int, long) - Method in class burlap.debugtools.RandomFactory

Either returns the random generator for the given id or creates if with the given seed it does not yet exit

ingetOrSeedMapped(String, long) - Method in class burlap.debugtools.RandomFactory

Either returns the random generator for the given String id or creates if with the given seed it does not yet exit

init(Visualizer, Domain, String, int, int) - Method in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer

Initializes the EpisodeSequenceVisualizer with episodes read from disk.

init(SGDomain, double, LearningRate, HashableStateFactory, ValueFunctionInitialization, SGBackupOperator, boolean, PolicyFromJointPolicy) - Method in class burlap.behavior.stochasticgames.agents.maql.MAQLFactory

Initializes.

init(Visualizer, SGDomain, String, int, int) - Method in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer

Initializes the GameSequenceVisualizer.

init() - Method in class burlap.datastructures.StochasticTree

Initializes the three data structure

init(String, Domain, String[], String[], String) - Method in class burlap.oomdp.core.PropositionalFunction

init(Domain, Environment, Visualizer, int, int) - Method in class burlap.oomdp.singleagent.explorer.VisualExplorer

init(SGDomain, World, Visualizer, int, int) - Method in class burlap.oomdp.stochasticgames.explorers.SGVisualExplorer

Initializes.

init(SGDomain) - Method in class burlap.oomdp.stochasticgames.SGAgent

init(SGDomain, JointActionModel, JointReward, TerminalFunction, SGStateGenerator, StateAbstraction) - Method in class burlap.oomdp.stochasticgames.World

initDataStructures() - Method in class burlap.oomdp.core.states.MutableState

initDefaults() - Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest

initGUI() - Method in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer

Initializes the GUI and presents it to the user.

initGUI() - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionVisualizerGUI

Initializes the GUI and presents it to the user.

initGUI() - Method in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer

Initializes the GUI and presents it to the user.

initGUI() - Method in class burlap.oomdp.singleagent.common.VisualActionObserver

Initializes the visual explorer GUI and presents it to the user.

initGUI() - Method in class burlap.oomdp.singleagent.explorer.VisualExplorer

Initializes the visual explorer GUI and presents it to the user.

initGUI() - Method in class burlap.oomdp.stochasticgames.common.VisualWorldObserver

Initializes the visual world observer GUI and presents it to the user.

initGUI() - Method in class burlap.oomdp.stochasticgames.explorers.SGVisualExplorer

Initializes the GUI and presents it to the user.

initialize(int, int, double) - Method in class burlap.domain.singleagent.gridworld.GridWorldRewardFunction

Initializes the reward matrix.

initializeActionMapAndAugmentedDomain() - Method in class burlap.behavior.stochasticgames.agents.naiveq.history.SGQWActionHistory

Initializes the action map to be an instance of ParameterNaiveActionIdMap and then initializes the history augmented domain using the max players as the number of players in the world which this agent has joined.

initializeAllBeliefValuesTo(double) - Method in class burlap.oomdp.singleagent.pomdp.beliefstate.tabular.TabularBeliefState

Initializes the probability mass of all underlying MDP states to the specified value.

initializeBeliefsUniformly() - Method in class burlap.oomdp.singleagent.pomdp.beliefstate.tabular.TabularBeliefState

Initializes this belief state to a uniform distribution

initializeClusterRFParameters(List<DifferentiableRF>) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL

Initializes the DifferentiableRF parameters for each cluster.

initializeClusters(int, QGradientPlannerFactory) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL

Initializes cluster data; i.e., it initializes RF parameters, cluster prior parameters (to uniform), and creates MLIRLRequest objects for each cluster.

initializeDatastructures() - Method in class burlap.behavior.singleagent.EpisodeAnalysis

initializeDatastructures() - Method in class burlap.behavior.stochasticgames.GameAnalysis

Instantiates the datastructures of this object.

initializeEpisideWithInitialState(State) - Method in class burlap.behavior.singleagent.EpisodeAnalysis

Initializes this object with the initial state in which the episode started.

initializeEpisode(State) - Method in interface burlap.behavior.singleagent.learning.actorcritic.Critic

This method is called whenever a new learning episode begins

initializeEpisode(State) - Method in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda

initializeEpisode(State) - Method in class burlap.behavior.singleagent.learning.actorcritic.critics.TimeIndexedTDLambda

initializeForPlanning(RewardFunction, TerminalFunction, int) - Method in class burlap.behavior.singleagent.learning.actorcritic.ActorCritic

Sets the RewardFunction, TerminalFunction, and the number of simulated episodes to use for planning when the ActorCritic.planFromState(burlap.oomdp.core.states.State) method is called.

initializeForPlanning(RewardFunction, TerminalFunction, int) - Method in class burlap.behavior.singleagent.learning.lspi.LSPI

Sets the RewardFunction, TerminalFunction, and the number of SARSData.SARS samples to use for planning when the LSPI.planFromState(burlap.oomdp.core.states.State) method is called.

initializeForPlanning(RewardFunction, TerminalFunction, int, SARSCollector) - Method in class burlap.behavior.singleagent.learning.lspi.LSPI

Sets the RewardFunction, TerminalFunction, the number of SARSData.SARS samples, and the SARSCollector to use to collect samples for planning when the LSPI.planFromState(burlap.oomdp.core.states.State) method is called.

initializeForPlanning(RewardFunction, TerminalFunction, int) - Method in class burlap.behavior.singleagent.learning.tdmethods.QLearning

Sets the RewardFunction, TerminalFunction, and the number of simulated episodes to use for planning when the QLearning.planFromState(burlap.oomdp.core.states.State) method is called.

initializeForPlanning(RewardFunction, TerminalFunction, int) - Method in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam

Sets the RewardFunction, TerminalFunction, and the number of simulated episodes to use for planning when the GradientDescentSarsaLam.planFromState(burlap.oomdp.core.states.State) method is called.

initializeGameWithInitialState(State) - Method in class burlap.behavior.stochasticgames.GameAnalysis

Clears out any already recorded states, joint actions, and rewards, and sets the initial state of the game.

initializeHistoryAugmentedDomain(int) - Method in class burlap.behavior.stochasticgames.agents.naiveq.history.SGQWActionHistory

Initializes the history augmented domain/state representation the agent will use

initializeOffscreen() - Method in class burlap.oomdp.visualizer.MultiLayerRenderer

Initializes a new offscreen image and context

initializeOptionsForExpectationComputations() - Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming

Options need to to have transition probabilities computed and keep track of the possible termination states using as hashed data structure.

initializePlannerIn(State) - Method in interface burlap.behavior.singleagent.learning.modellearning.ModelLearningPlanner

This is method is expected to be called at the beginning of any new learning episode.

initializePlannerIn(State) - Method in class burlap.behavior.singleagent.learning.modellearning.modelplanners.VIModelLearningPlanner

initializeRollOut() - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT

initializeStateActionWeightVector(int, double) - Method in class burlap.behavior.singleagent.vfa.common.LinearFVVFA

Resets the state-action function weight array to a new array of the given sized and default value.

initializeStateWeightVector(int, double) - Method in class burlap.behavior.singleagent.vfa.common.LinearFVVFA

Resets the state function weight array to a new array of the given sized and default value.

initializeValueObjects() - Method in class burlap.oomdp.core.objects.ImmutableObjectInstance

Creates new value object assignments for each of this object instance class's attributes.

initializeValueObjects() - Method in class burlap.oomdp.core.objects.MutableObjectInstance

Creates new value object assignments for each of this object instance class's attributes.

initialLearningRate - Variable in class burlap.behavior.learningrate.ExponentialDecayLR

The initial learning rate value

initialLearningRate - Variable in class burlap.behavior.learningrate.SoftTimeInverseDecayLR

The initial learning rate value at time 0

initialQ - Variable in class burlap.behavior.singleagent.learning.tdmethods.SarsaLam.EligibilityTrace

The initial numeric Q-value for this trace when it was created.

initialState - Variable in class burlap.behavior.singleagent.learning.modellearning.modelplanners.VIModelLearningPlanner

The last initial state of an episode

initialStateGenerator - Variable in class burlap.oomdp.stochasticgames.tournament.common.ConstantWorldGenerator

initialStateGenerator - Variable in class burlap.oomdp.stochasticgames.World

initialValue - Variable in class burlap.datastructures.HashedAggregator

The initial value for each key

initialWeightValue - Variable in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam.EligibilityTraceVector

The value of the weight when the trace started

initiateInState(State, GroundedAction) - Method in class burlap.behavior.singleagent.options.Option

Tells the option that it is being initiated in the given state with the given parameters.

initiateInStateHelper(State, GroundedAction) - Method in class burlap.behavior.singleagent.options.DeterministicTerminationOption

initiateInStateHelper(State, GroundedAction) - Method in class burlap.behavior.singleagent.options.MacroAction

initiateInStateHelper(State, GroundedAction) - Method in class burlap.behavior.singleagent.options.Option

This method is always called when an option is initiated and begins execution.

initiateInStateHelper(State, GroundedAction) - Method in class burlap.behavior.singleagent.options.PolicyDefinedSubgoalOption

initMAVF(SGDomain, Map<String, SGAgentType>, JointReward, TerminalFunction, double, HashableStateFactory, ValueFunctionInitialization, SGBackupOperator) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.MADynamicProgramming

Initializes all the main datstructres of the value function valueFunction

initParamsWithStringRep(String[]) - Method in class burlap.behavior.policy.Policy.GroundedAnnotatedAction

initParamsWithStringRep(String[]) - Method in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.SGToSADomain.GroundedSAAActionWrapper

initParamsWithStringRep(String[]) - Method in interface burlap.oomdp.core.AbstractGroundedAction

Initializes the parameter values of this AbstractGroundedAction according to the provided string representation of their values.

initParamsWithStringRep(String[]) - Method in class burlap.oomdp.singleagent.common.SimpleGroundedAction

initParamsWithStringRep(String[]) - Method in class burlap.oomdp.singleagent.ObjectParameterizedAction.ObjectParameterizedGroundedAction

initParamsWithStringRep(String[]) - Method in class burlap.oomdp.singleagent.pomdp.BeliefMDPGenerator.GroundedBeliefAction

initParamsWithStringRep(String[]) - Method in class burlap.oomdp.stochasticgames.agentactions.ObParamSGAgentAction.GroundedObParamSGAgentAction

initParamsWithStringRep(String[]) - Method in class burlap.oomdp.stochasticgames.agentactions.SimpleGroundedSGAgentAction

initParamsWithStringRep(String[]) - Method in class burlap.oomdp.stochasticgames.JointAction

initWithDirectEpisodes(Visualizer, Domain, List<EpisodeAnalysis>, int, int) - Method in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer

Initializes the EpisodeSequenceVisualizer with programatically supplied list of EpisodeAnalysis objects to view.

initWithDirectGames(Visualizer, SGDomain, List<GameAnalysis>, int, int) - Method in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer

Initializes the GameSequenceVisualizer.

inputBuf - Variable in class burlap.oomdp.singleagent.explorer.TextAreaStreams

inputDomain - Variable in class burlap.domain.singleagent.tabularized.TabulatedDomainWrapper

The input domain that is to be wrapped into a tabularized domain

inseedDefault(long) - Method in class burlap.debugtools.RandomFactory

Sets the seed of the default random number generator

inseedMapped(int, long) - Method in class burlap.debugtools.RandomFactory

Seeds and returns the random generator with the associated id or creates it if it does not yet exist

inseedMapped(String, long) - Method in class burlap.debugtools.RandomFactory

Seeds and returns the random generator with the associated String id or creates it if it does not yet exist

insert(T) - Method in class burlap.datastructures.HashIndexedHeap

Inserts the element into the heap

insert(double, T) - Method in class burlap.datastructures.StochasticTree

Inserts the given element into the tree with the given weight

insertChart(Container, GridBagConstraints, int, int, int, String, String, String, XYSeriesCollection, YIntervalSeriesCollection) - Method in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter

Adds the most recent trial (if enabled) chart and trial average (if enabled) chart into the provided container.

insertChart(Container, GridBagConstraints, int, int, int, String, String, String, XYSeriesCollection, YIntervalSeriesCollection) - Method in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter

Adds the most recent trial (if enabled) chart and trial average (if enabled) chart into the provided container.

insertHelper(StochasticTree<T>.STNode, double, T) - Method in class burlap.datastructures.StochasticTree

Helper recursive method for inserting an element

insertIntoOpen(HashIndexedHeap<PrioritizedSearchNode>, PrioritizedSearchNode) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.AStar

insertIntoOpen(HashIndexedHeap<PrioritizedSearchNode>, PrioritizedSearchNode) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.DynamicWeightedAStar

insertIntoOpen(HashIndexedHeap<PrioritizedSearchNode>, PrioritizedSearchNode) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.BestFirst

This method is used to insert a prioritized search node into the openQueue.

insertRenderLayerTo(int, RenderLayer) - Method in class burlap.oomdp.visualizer.MultiLayerRenderer

Inserts a render layer at the specified position

intArray - Variable in class burlap.oomdp.core.values.IntArrayValue

IntArrayValue - Class in burlap.oomdp.core.values

This class implements an attribute value that is defined with an int array.

IntArrayValue(Attribute) - Constructor for class burlap.oomdp.core.values.IntArrayValue

IntArrayValue(IntArrayValue) - Constructor for class burlap.oomdp.core.values.IntArrayValue

IntArrayValue(Attribute, int[]) - Constructor for class burlap.oomdp.core.values.IntArrayValue

internalPolicy - Variable in class burlap.behavior.singleagent.planning.deterministic.DeterministicPlanner

Stores the action plan found by the valueFunction as a deterministic policy

internalReward - Variable in class burlap.oomdp.stochasticgames.common.AgentFactoryWithSubjectiveReward

internalRewardFunction - Variable in class burlap.oomdp.stochasticgames.SGAgent

interpolate(float, float, float) - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.LandmarkColorBlendInterpolation

Returns the point that is a normalized distance t between s and e

intMultiples(double, double) - Static method in class burlap.oomdp.statehashing.DiscretizingHashableStateFactory

Returns int result of num / mult; that is, (int)(num / mult).

intMultiples(double, double) - Static method in class burlap.oomdp.statehashing.DiscretizingMaskedHashableStateFactory

Returns int result of num / mult; that is, (int)(num / mult).

intVal - Variable in class burlap.oomdp.core.values.IntValue

The int value

IntValue - Class in burlap.oomdp.core.values

This class provides a value for an integer.

IntValue(Attribute) - Constructor for class burlap.oomdp.core.values.IntValue

Initializes for a given attribute.

IntValue(IntValue) - Constructor for class burlap.oomdp.core.values.IntValue

Initializes from an existing IntUnBound value.

IntValue(Attribute, int) - Constructor for class burlap.oomdp.core.values.IntValue

InvalidActionException - Class in burlap.oomdp.stochasticgames

Created by cayle on 5/22/15.

InvalidActionException() - Constructor for class burlap.oomdp.stochasticgames.InvalidActionException

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

Returns a string that lists the state-action paris that have improper transition dynamics (transitions that don't sum to 1).

invalidMDPReport(Map<Integer, Map<Integer, Set<GraphDefinedDomain.NodeTransitionProbability>>>) - Static method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain

Returns a string that lists the state-action paris that have improper transition dynamics (transitions that don't sum to 1).

InvertedPendulum - Class in burlap.domain.singleagent.cartpole

A simplified version of the CartPoleDomain in which the movement of the pole depends only on gravity and the force applied, and not the velocity of the underlying cart.

InvertedPendulum() - Constructor for class burlap.domain.singleagent.cartpole.InvertedPendulum

InvertedPendulum.ForceAction - Class in burlap.domain.singleagent.cartpole

An action that applies a given force to the cart + uniform random noise in the range defined in the InvertedPendulum.physParams data member.

InvertedPendulum.ForceAction(String, Domain, double, InvertedPendulum.IPPhysicsParams) - Constructor for class burlap.domain.singleagent.cartpole.InvertedPendulum.ForceAction

Initializes the force action

InvertedPendulum.InvertedPendulumRewardFunction - Class in burlap.domain.singleagent.cartpole

A default reward function for this domain.

InvertedPendulum.InvertedPendulumRewardFunction() - Constructor for class burlap.domain.singleagent.cartpole.InvertedPendulum.InvertedPendulumRewardFunction

InvertedPendulum.InvertedPendulumRewardFunction(double) - Constructor for class burlap.domain.singleagent.cartpole.InvertedPendulum.InvertedPendulumRewardFunction

Initializes with a max pole angle as specified in radians

InvertedPendulum.InvertedPendulumTerminalFunction - Class in burlap.domain.singleagent.cartpole

A default terminal function for this domain.

InvertedPendulum.InvertedPendulumTerminalFunction() - Constructor for class burlap.domain.singleagent.cartpole.InvertedPendulum.InvertedPendulumTerminalFunction

InvertedPendulum.InvertedPendulumTerminalFunction(double) - Constructor for class burlap.domain.singleagent.cartpole.InvertedPendulum.InvertedPendulumTerminalFunction

Initializes with a max pole angle as specified in radians

InvertedPendulum.IPPhysicsParams - Class in burlap.domain.singleagent.cartpole

InvertedPendulum.IPPhysicsParams() - Constructor for class burlap.domain.singleagent.cartpole.InvertedPendulum.IPPhysicsParams

InvertedPendulum.IPPhysicsParams(double, double, double, double, double, double, double, double, double) - Constructor for class burlap.domain.singleagent.cartpole.InvertedPendulum.IPPhysicsParams

InvertedPendulumVisualizer - Class in burlap.domain.singleagent.cartpole

InvertedPendulumVisualizer() - Constructor for class burlap.domain.singleagent.cartpole.InvertedPendulumVisualizer

InvertedPendulumVisualizer.PendulumObjectPainter - Class in burlap.domain.singleagent.cartpole

An object painter for the pendulum object.

InvertedPendulumVisualizer.PendulumObjectPainter() - Constructor for class burlap.domain.singleagent.cartpole.InvertedPendulumVisualizer.PendulumObjectPainter

IPSS() - Static method in class burlap.tutorials.scd.ContinuousDomainTutorial

IRLRequest - Class in burlap.behavior.singleagent.learnfromdemo

A data structure for setting the common parameters necessary for an IRL algorithm.

IRLRequest() - Constructor for class burlap.behavior.singleagent.learnfromdemo.IRLRequest

Values will not be initialized.

IRLRequest(Domain, Planner, List<EpisodeAnalysis>) - Constructor for class burlap.behavior.singleagent.learnfromdemo.IRLRequest

Initializes.

is - Variable in class burlap.shell.BurlapShell

isAnnotatingExecutionResults() - Method in class burlap.behavior.singleagent.options.Option

Returns whether this option is annotating recorded action executions with this option's name.

isDefinedFor(State) - Method in class burlap.behavior.policy.BeliefPolicyToPOMDPPolicy

isDefinedFor(State) - Method in class burlap.behavior.policy.BoltzmannQPolicy

isDefinedFor(State) - Method in class burlap.behavior.policy.CachedPolicy

isDefinedFor(State) - Method in class burlap.behavior.policy.DomainMappedPolicy

isDefinedFor(State) - Method in class burlap.behavior.policy.EpsilonGreedy

isDefinedFor(State) - Method in class burlap.behavior.policy.GreedyDeterministicQPolicy

isDefinedFor(State) - Method in class burlap.behavior.policy.GreedyQPolicy

isDefinedFor(State) - Method in class burlap.behavior.policy.Policy

Specifies whether this policy is defined for the input state.

isDefinedFor(State) - Method in class burlap.behavior.policy.RandomPolicy

isDefinedFor(State) - Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearning.RandomPolicy

isDefinedFor(State) - Method in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor

isDefinedFor(State) - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.UnmodeledFavoredPolicy

isDefinedFor(State) - Method in class burlap.behavior.singleagent.planning.deterministic.DDPlannerPolicy

isDefinedFor(State) - Method in class burlap.behavior.singleagent.planning.deterministic.SDPlannerPolicy

isDefinedFor(State) - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTTreeWalkPolicy

isDefinedFor(State) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.ECorrelatedQJointPolicy

isDefinedFor(State) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyJointPolicy

isDefinedFor(State) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyMaxWellfare

isDefinedFor(State) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EMinMaxPolicy

isDefinedFor(State) - Method in class burlap.behavior.stochasticgames.PolicyFromJointPolicy

isEpisodic - Variable in class burlap.oomdp.singleagent.interfaces.rlglue.RLGlueEnvironment

Whether this task is episodic (false will indicate that it is continuing)

isFiniteTrack - Variable in class burlap.domain.singleagent.cartpole.CartPoleDomain.CPPhysicsParams

Whether the track is finite (true) or infinite (false).

isHashed() - Method in class burlap.oomdp.core.objects.ImmutableObjectInstance

isHashed() - Method in class burlap.oomdp.core.states.FixedSizeImmutableState

isHashed() - Method in class burlap.oomdp.core.states.ImmutableState

isHashed() - Method in interface burlap.oomdp.core.states.ImmutableStateInterface

isInTerminalState() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface

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

isInTerminalState() - Method in interface burlap.oomdp.singleagent.environment.Environment

Returns whether the environment is in a terminal state that prevents further action by the agent.

isInTerminalState() - Method in class burlap.oomdp.singleagent.environment.EnvironmentServer

isInTerminalState() - Method in class burlap.oomdp.singleagent.environment.SimulatedEnvironment

isLeaf() - Method in class burlap.datastructures.StochasticTree.STNode

Returns true if this is a left node

isMarkov() - Method in class burlap.behavior.singleagent.options.DeterministicTerminationOption

isMarkov() - Method in class burlap.behavior.singleagent.options.MacroAction

isMarkov() - Method in class burlap.behavior.singleagent.options.Option

Returns whether this option is Markov or not; that is, whether action selection and termination only depends on the current state.

isMarkov() - Method in class burlap.behavior.singleagent.options.PolicyDefinedSubgoalOption

isObjectIdentifierDependent() - Method in class burlap.oomdp.core.Domain

Returns whether this domain's states are object identifier (name) dependent.

isObjectMasked(ObjectInstance) - Method in class burlap.oomdp.statehashing.ImmutableStateHashableStateFactory

isParameterized() - Method in class burlap.behavior.policy.Policy.GroundedAnnotatedAction

isParameterized() - Method in class burlap.behavior.singleagent.learning.modellearning.ModeledDomainGenerator.ModeledAction

isParameterized() - Method in class burlap.behavior.singleagent.options.DeterministicTerminationOption

isParameterized() - Method in class burlap.behavior.singleagent.options.MacroAction

isParameterized() - Method in class burlap.behavior.singleagent.options.PolicyDefinedSubgoalOption

isParameterized() - Method in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.SGToSADomain.SAActionWrapper

isParameterized() - Method in class burlap.domain.singleagent.tabularized.TabulatedDomainWrapper.ActionWrapper

isParameterized() - Method in interface burlap.oomdp.core.AbstractGroundedAction

Returns true if this action uses parameters

isParameterized() - Method in class burlap.oomdp.singleagent.Action

Returns true if this action is parameterized; false otherwise.

isParameterized() - Method in class burlap.oomdp.singleagent.common.SimpleAction

isParameterized() - Method in class burlap.oomdp.singleagent.GroundedAction

isParameterized() - Method in class burlap.oomdp.singleagent.ObjectParameterizedAction

isParameterized() - Method in class burlap.oomdp.singleagent.pomdp.BeliefMDPGenerator.BeliefAction

isParameterized() - Method in class burlap.oomdp.stochasticgames.agentactions.GroundedSGAgentAction

isParameterized() - Method in class burlap.oomdp.stochasticgames.agentactions.ObParamSGAgentAction

isParameterized() - Method in class burlap.oomdp.stochasticgames.agentactions.SGAgentAction

Returns true if this action is parameterized.

isParameterized() - Method in class burlap.oomdp.stochasticgames.agentactions.SimpleSGAgentAction

isParameterized() - Method in class burlap.oomdp.stochasticgames.JointAction

isPrimitive() - Method in class burlap.behavior.singleagent.learning.modellearning.ModeledDomainGenerator.ModeledAction

isPrimitive() - Method in class burlap.behavior.singleagent.options.Option

isPrimitive() - Method in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.SGToSADomain.SAActionWrapper

isPrimitive() - Method in class burlap.domain.singleagent.blocksworld.BlocksWorld.StackAction

isPrimitive() - Method in class burlap.domain.singleagent.blocksworld.BlocksWorld.UnstackAction

isPrimitive() - Method in class burlap.domain.singleagent.tabularized.TabulatedDomainWrapper.ActionWrapper

isPrimitive() - Method in class burlap.oomdp.singleagent.Action

Returns whether this action is a primitive action of the domain or not.

isPrimitive() - Method in class burlap.oomdp.singleagent.common.SimpleAction

isPrimitive() - Method in class burlap.oomdp.singleagent.pomdp.BeliefMDPGenerator.BeliefAction

isRecording - Variable in class burlap.oomdp.singleagent.explorer.VisualExplorer

isRecordingExecutionResults() - Method in class burlap.behavior.singleagent.options.Option

Returns whether this option is recording its executions

isRecordingGame - Variable in class burlap.oomdp.stochasticgames.World

isRfFeaturesAreForNextState() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit

Returns whether the reward function state features are evaluated on the next state of the transition (s' of R(s,a,s')) or the previous state of the transition (s of R(s,a,s'))

isRunning() - Method in class burlap.debugtools.MyTimer

Indicates whether this timer is currently running.

isStochastic() - Method in class burlap.behavior.policy.BeliefPolicyToPOMDPPolicy

isStochastic() - Method in class burlap.behavior.policy.BoltzmannQPolicy

isStochastic() - Method in class burlap.behavior.policy.CachedPolicy

isStochastic() - Method in class burlap.behavior.policy.DomainMappedPolicy

isStochastic() - Method in class burlap.behavior.policy.EpsilonGreedy

isStochastic() - Method in class burlap.behavior.policy.GreedyDeterministicQPolicy

isStochastic() - Method in class burlap.behavior.policy.GreedyQPolicy

isStochastic() - Method in class burlap.behavior.policy.Policy

Indicates whether the policy is stochastic or deterministic.

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

isStochastic() - Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearning.RandomPolicy

isStochastic() - Method in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor

isStochastic() - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.UnmodeledFavoredPolicy

isStochastic() - Method in class burlap.behavior.singleagent.planning.deterministic.DDPlannerPolicy

isStochastic() - Method in class burlap.behavior.singleagent.planning.deterministic.SDPlannerPolicy

isStochastic() - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTTreeWalkPolicy

isStochastic() - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.ECorrelatedQJointPolicy

isStochastic() - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyJointPolicy

isStochastic() - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyMaxWellfare

isStochastic() - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EMinMaxPolicy

isStochastic() - Method in class burlap.behavior.stochasticgames.PolicyFromJointPolicy

isTerminal(State) - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax.PotentialShapedRMaxTerminal

isTerminal(State) - Method in class burlap.behavior.singleagent.options.support.LocalSubgoalTF

isTerminal(State) - Method in class burlap.domain.singleagent.blockdude.BlockDudeTF

isTerminal(State) - Method in class burlap.domain.singleagent.cartpole.CartPoleDomain.CartPoleTerminalFunction

isTerminal(State) - Method in class burlap.domain.singleagent.cartpole.InvertedPendulum.InvertedPendulumTerminalFunction

isTerminal(State) - Method in class burlap.domain.singleagent.frostbite.FrostbiteTF

isTerminal(State) - Method in class burlap.domain.singleagent.graphdefined.GraphTF

isTerminal(State) - Method in class burlap.domain.singleagent.gridworld.GridWorldTerminalFunction

isTerminal(State) - Method in class burlap.domain.singleagent.lunarlander.LunarLanderTF

isTerminal(State) - Method in class burlap.domain.singleagent.mountaincar.MountainCar.ClassicMCTF

isTerminal(State) - Method in class burlap.domain.stochasticgames.gridgame.GridGame.GGTerminalFunction

isTerminal(State) - Method in class burlap.oomdp.auxiliary.common.GoalConditionTF

isTerminal(State) - Method in class burlap.oomdp.auxiliary.common.NullTermination

isTerminal(State) - Method in class burlap.oomdp.auxiliary.common.SinglePFTF

isTerminal(State) - Method in interface burlap.oomdp.core.TerminalFunction

isTerminal(State) - Method in class burlap.tutorials.bd.ExampleGridWorld.ExampleTF

IsTerminalCommand - Class in burlap.shell.command.env

A ShellCommand for checking if the Environment is in a terminal state.

IsTerminalCommand() - Constructor for class burlap.shell.command.env.IsTerminalCommand

isTerminalPosition(int, int) - Method in class burlap.domain.singleagent.gridworld.GridWorldTerminalFunction

Returns true if a position is marked as a terminal position; false otherwise.

IsTerminalSGCommand - Class in burlap.shell.command.world

A ShellCommand for checking whether the current world state is a terminal state or not.

IsTerminalSGCommand() - Constructor for class burlap.shell.command.world.IsTerminalSGCommand

isTrue(State, String...) - Method in class burlap.domain.singleagent.blockdude.BlockDude.AtExitPF

isTrue(State, String...) - Method in class burlap.domain.singleagent.blockdude.BlockDude.HoldingBlockPF

isTrue(State, String...) - Method in class burlap.domain.singleagent.blocksworld.BlocksWorld.ClearPF

isTrue(State, String...) - Method in class burlap.domain.singleagent.blocksworld.BlocksWorld.ColorPF

isTrue(State, String...) - Method in class burlap.domain.singleagent.blocksworld.BlocksWorld.OnBlockPF

isTrue(State, String...) - Method in class burlap.domain.singleagent.blocksworld.BlocksWorld.OnTablePF

isTrue(State, String...) - Method in class burlap.domain.singleagent.frostbite.FrostbiteDomain.IglooBuiltPF

isTrue(State, String...) - Method in class burlap.domain.singleagent.frostbite.FrostbiteDomain.InWaterPF

isTrue(State, String...) - Method in class burlap.domain.singleagent.frostbite.FrostbiteDomain.OnIcePF

isTrue(State, String...) - Method in class burlap.domain.singleagent.frostbite.FrostbiteDomain.OnPlatformPF

isTrue(State, String...) - Method in class burlap.domain.singleagent.frostbite.FrostbiteDomain.PlatformActivePF

isTrue(State, String...) - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain.AtLocationPF

isTrue(State, String...) - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain.WallToPF

isTrue(State, String...) - Method in class burlap.domain.singleagent.gridworld.macro.MacroCellGridWorld.InMacroCellPF

isTrue(int, int) - Method in class burlap.domain.singleagent.gridworld.macro.MacroCellGridWorld.InMacroCellPF

isTrue(State, String...) - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.OnPadPF

isTrue(State, String...) - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.TouchGroundPF

isTrue(State, String...) - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.TouchPadPF

isTrue(State, String...) - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.TouchSurfacePF

isTrue(State) - Method in class burlap.oomdp.core.GroundedProp

Evaluates whether this grounded propositional function is true in the provided state.

isTrue(State, String...) - Method in class burlap.oomdp.core.PropositionalFunction

Returns whether the propositional function is true for the given state with the given parameters This version is preferred to the comma delimited version.

isTrue(State, String...) - Method in class burlap.tutorials.bd.ExampleGridWorld.AtLocation

isValid() - Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest

isValid() - Method in class burlap.behavior.singleagent.learnfromdemo.IRLRequest

Returns true if this request object has valid data members set; false otherwise.

isValid() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MLIRLRequest

isValid() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRLRequest

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

Checks whether the the probability of all state-action outcomes sum to 1 in this graph.

isValidMDPGraph(Map<Integer, Map<Integer, Set<GraphDefinedDomain.NodeTransitionProbability>>>) - Static method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain

Checks whether the the probability of all state-action outcomes sum to 1 in he provided transition dynamics.

isZeroArray(double[]) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver

Returns true if a if the input array is all zeros.

itemStateChanged(ItemEvent) - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionVisualizerGUI

Called when the check back for the policy rendering is checked or unchecked.

iterateExpectationScan(Option.ExpectationSearchNode, double, Map<HashableState, Double>, double[]) - Method in class burlap.behavior.singleagent.options.Option

This method will recursively determine all possible paths that could occur from execution of the option as well as the expected return.

iterationList - Variable in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer

iterationList - Variable in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer

iterationListModel - Variable in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer

iterationListModel - Variable in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer

iterationScroller - Variable in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer

iterationScroller - Variable in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer

iterator() - Method in class burlap.datastructures.HashIndexedHeap

iterator() - Method in class burlap.oomdp.core.objects.ImmutableObjectInstance

iterator() - Method in class burlap.oomdp.core.states.FixedSizeImmutableState

iterator() - Method in class burlap.oomdp.core.states.ImmutableState

iterator() - Method in class burlap.oomdp.stochasticgames.JointAction

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