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

T

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

Value for being on the table

TabularBeliefState - Class in burlap.mdp.singleagent.pomdp.beliefstate

A class for storing a sparse tabular representation of the belief state.

TabularBeliefState() - Constructor for class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefState

TabularBeliefState(TabularBeliefState) - Constructor for class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefState

Constructs a new TabularBeliefState from a source TabularBeliefState.

TabularBeliefState(PODomain) - Constructor for class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefState

TabularBeliefState(PODomain, StateEnumerator) - Constructor for class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefState

Constructs a new TabularBeliefState.

TabularBeliefUpdate - Class in burlap.mdp.singleagent.pomdp.beliefstate

A BeliefUpdate that operates on TabularBeliefState instances.

TabularBeliefUpdate(PODomain) - Constructor for class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefUpdate

TabularBeliefUpdate(PODomain, StateEnumerator) - Constructor for class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefUpdate

TabularModel - Class in burlap.behavior.singleagent.learning.modellearning.models

A tabular model using frequencies to model the transition dynamics.

TabularModel(SADomain, HashableStateFactory, int) - Constructor for class burlap.behavior.singleagent.learning.modellearning.models.TabularModel

Initializes.

targetAgent - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyJointPolicy

The agent whose q-values dictate which joint actions to return

targetAgent - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EMinMaxPolicy

The target agent who is maximizing action selection

TaskFactoredModel - Interface in burlap.mdp.singleagent.model

An interface for a SampleModel that computes its rewards and terminal states using RewardFunction and TerminalFunction objects that can be modified.

TDLambda - Class in burlap.behavior.singleagent.learning.actorcritic.critics

An implementation of TDLambda that can be used as a critic for ActorCritic algorithms [1].

TDLambda(double, HashableStateFactory, double, double, double) - Constructor for class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda

Initializes the algorithm.

TDLambda(double, HashableStateFactory, double, ValueFunction, double) - Constructor for class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda

Initializes the algorithm.

TDLambda.StateEligibilityTrace - Class in burlap.behavior.singleagent.learning.actorcritic.critics

A data structure for storing the elements of an eligibility trace.

teardown() - Method in class burlap.testing.TestBlockDude

teardown() - Method in class burlap.testing.TestGridWorld

teardown() - Method in class burlap.testing.TestPlanning

temp - Variable in class burlap.behavior.singleagent.planning.stochastic.dpoperator.SoftmaxOperator

temperature - Variable in class burlap.datastructures.BoltzmannDistribution

The temperature value.

tempNormalized - Variable in class burlap.datastructures.BoltzmannDistribution

The preference values normalized by the temperature

terminal(State) - Method in class burlap.behavior.singleagent.learnfromdemo.CustomRewardModel

terminal(State) - Method in class burlap.behavior.singleagent.learnfromdemo.RewardValueProjection.CustomRewardNoTermModel

terminal(State) - Method in class burlap.behavior.singleagent.learning.modellearning.models.TabularModel

terminal(State) - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.RMaxModel

terminal(State) - Method in class burlap.behavior.singleagent.options.model.BFSMarkovOptionModel

terminal(State) - Method in class burlap.domain.singleagent.pomdp.tiger.TigerModel

terminal(State) - Method in class burlap.mdp.singleagent.model.DelegatedModel

terminal(State) - Method in class burlap.mdp.singleagent.model.FactoredModel

terminal(State) - Method in interface burlap.mdp.singleagent.model.SampleModel

Indicates whether a state is a terminal state (i.e., no more action occurs and zero reward received from there on out)

terminal(State) - Method in class burlap.mdp.singleagent.pomdp.BeliefMDPGenerator.BeliefModel

terminalFunction - Variable in class burlap.behavior.stochasticgames.agents.madp.MADPPlannerFactory.MAVIPlannerFactory

The state terminal function.

terminalFunction - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.MADynamicProgramming

The state terminal function.

TerminalFunction - Interface in burlap.mdp.core

An interface for defining terminal states of an MDP.

terminalFunction() - Method in class burlap.mdp.singleagent.model.FactoredModel

terminalFunction() - Method in interface burlap.mdp.singleagent.model.TaskFactoredModel

Returns the TerminalFunction this model uses to determine terminal states

terminalPositions - Variable in class burlap.domain.singleagent.gridworld.GridWorldTerminalFunction

The set of positions marked as terminal positions.

terminalStates - Variable in class burlap.behavior.singleagent.learning.modellearning.models.TabularModel

The set of states marked as terminal states.

terminalStates - Variable in class burlap.domain.singleagent.graphdefined.GraphTF

The set of nodes ids in the graph that are terminal states

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

Indicates the number of times a terminal state has been visited by the agent within the same episode.

terminated - Variable in class burlap.mdp.singleagent.environment.EnvironmentOutcome

Whether the next state to which the environment transitioned is a terminal state (true if so, false otherwise)

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

terminationStates - Variable in class burlap.behavior.singleagent.options.SubgoalOption

The states in which the option terminates deterministically

test1() - Static method in class burlap.datastructures.StochasticTree

Another example usage

test2() - Static method in class burlap.datastructures.StochasticTree

An example usage

testAStar() - Method in class burlap.testing.TestPlanning

testBFS() - Method in class burlap.testing.TestPlanning

TestBlockDude - Class in burlap.testing

TestBlockDude() - Constructor for class burlap.testing.TestBlockDude

testDFS() - Method in class burlap.testing.TestPlanning

testDude() - Method in class burlap.testing.TestBlockDude

testDude(State) - Method in class burlap.testing.TestBlockDude

testEnvironment - Variable in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter

The test Environment in which experiments will be performed.

TestGridWorld - Class in burlap.testing

TestGridWorld() - Constructor for class burlap.testing.TestGridWorld

testGridWorld() - Method in class burlap.testing.TestGridWorld

testGridWorld(State) - Method in class burlap.testing.TestGridWorld

TestHashing - Class in burlap.testing

TestHashing() - Constructor for class burlap.testing.TestHashing

testHashingScheme() - Method in class burlap.testing.TestHashing

TestPlanning - Class in burlap.testing

TestPlanning() - Constructor for class burlap.testing.TestPlanning

TestRunner - Class in burlap.testing

TestRunner() - Constructor for class burlap.testing.TestRunner

testSimpleHashFactory() - Method in class burlap.testing.TestHashing

testSimpleHashFactoryIdentifierDependent() - Method in class burlap.testing.TestHashing

testSimpleHashFactoryIdentifierIndependent() - Method in class burlap.testing.TestHashing

testSimpleHashFactoryLargeState() - Method in class burlap.testing.TestHashing

testSimpleHashFactoryLargeState(HashableStateFactory, int, int, boolean) - Method in class burlap.testing.TestHashing

testSimpleHashFactoryLargeStateIdentifierDependent() - Method in class burlap.testing.TestHashing

TestSuite - Class in burlap.testing

TestSuite() - Constructor for class burlap.testing.TestSuite

TextAreaStreams - Class in burlap.shell.visual

Object that provides an InputStream and OutputStream that affect the content of a JTextArea.

TextAreaStreams(JTextArea) - Constructor for class burlap.shell.visual.TextAreaStreams

TextAreaStreams.TextIn - Class in burlap.shell.visual

TextAreaStreams.TextOut - Class in burlap.shell.visual

TextIn() - Constructor for class burlap.shell.visual.TextAreaStreams.TextIn

TextOut() - Constructor for class burlap.shell.visual.TextAreaStreams.TextOut

tf - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.support.QGradientPlannerFactory.DifferentiableVIFactory

The terminal function that the valueFunction uses.

tf - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter

The terminal function defining when episodes in a trial end

tf - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter

Terminal funciton for determining when episodes have ended.

tf - Variable in class burlap.domain.singleagent.blockdude.BlockDude

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

tf - Variable in class burlap.domain.singleagent.cartpole.CartPoleDomain

tf - Variable in class burlap.domain.singleagent.cartpole.InvertedPendulum

tf - Variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain

tf - Variable in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain

tf - Variable in class burlap.domain.singleagent.gridworld.GridWorldDomain

tf - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

tf - Variable in class burlap.domain.singleagent.mountaincar.MountainCar

tf - Variable in class burlap.mdp.auxiliary.stateconditiontest.TFGoalCondition

tf - Variable in class burlap.mdp.singleagent.model.FactoredModel

tf - Variable in class burlap.mdp.stochasticgames.tournament.common.ConstantWorldGenerator

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

TFGoalCondition - Class in burlap.mdp.auxiliary.stateconditiontest

A simple StateConditionTest wrapper of TerminalFunciton.

TFGoalCondition(TerminalFunction) - Constructor for class burlap.mdp.auxiliary.stateconditiontest.TFGoalCondition

Sets this class to return true on any states that are terminal states as indicated by the TerminalFunction.

theTaskSpec - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain

The TaskSpec used to generate the BURLAP Domain

tHistory - Variable in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest

the history of scores across each reward function improvement

threshold - Variable in class burlap.domain.singleagent.mountaincar.MountainCar.ClassicMCTF

thrust - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.ThrustType.ThrustAction

ThrustAction() - Constructor for class burlap.domain.singleagent.lunarlander.LunarLanderDomain.ThrustType.ThrustAction

ThrustAction(double) - Constructor for class burlap.domain.singleagent.lunarlander.LunarLanderDomain.ThrustType.ThrustAction

ThrustType(List<Double>) - Constructor for class burlap.domain.singleagent.lunarlander.LunarLanderDomain.ThrustType

thrustValues - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

List of the thrust forces for each thrust action

TigerDomain - Class in burlap.domain.singleagent.pomdp.tiger

An implementation of the classic Tiger domain.

TigerDomain() - Constructor for class burlap.domain.singleagent.pomdp.tiger.TigerDomain

Initializes.

TigerDomain(boolean) - Constructor for class burlap.domain.singleagent.pomdp.tiger.TigerDomain

Initializes.

TigerDomain(boolean, double) - Constructor for class burlap.domain.singleagent.pomdp.tiger.TigerDomain

Initializes

TigerModel - Class in burlap.domain.singleagent.pomdp.tiger

TigerModel(double, double, double, double) - Constructor for class burlap.domain.singleagent.pomdp.tiger.TigerModel

TigerObservation - Class in burlap.domain.singleagent.pomdp.tiger

TigerObservation() - Constructor for class burlap.domain.singleagent.pomdp.tiger.TigerObservation

TigerObservation(String) - Constructor for class burlap.domain.singleagent.pomdp.tiger.TigerObservation

TigerObservations - Class in burlap.domain.singleagent.pomdp.tiger

Defines the Tiger domain observation function

TigerObservations(double, boolean) - Constructor for class burlap.domain.singleagent.pomdp.tiger.TigerObservations

TigerState - Class in burlap.domain.singleagent.pomdp.tiger

TigerState() - Constructor for class burlap.domain.singleagent.pomdp.tiger.TigerState

TigerState(String) - Constructor for class burlap.domain.singleagent.pomdp.tiger.TigerState

TileCodingFeatures - Class in burlap.behavior.functionapproximation.sparse.tilecoding

A feature database using CMACs [1] AKA Tiling Coding for states that are first converted into a feature vector.

TileCodingFeatures(DenseStateFeatures) - Constructor for class burlap.behavior.functionapproximation.sparse.tilecoding.TileCodingFeatures

Initializes specifying the kind of state feature vector generator to use for turning OO-MDP states into feature vectors.

TileCodingFeatures.ActionFeatureID - Class in burlap.behavior.functionapproximation.sparse.tilecoding

A class for associating a Action with a feature id.

tiledVector - Variable in class burlap.behavior.functionapproximation.sparse.tilecoding.Tiling.FVTile

Tiling - Class in burlap.behavior.functionapproximation.sparse.tilecoding

This class provides a tiling of a provided feature vector.

Tiling(double[], double[]) - Constructor for class burlap.behavior.functionapproximation.sparse.tilecoding.Tiling

Constructs a tiling using the given widths, offset of each dimension's tiling, and assuming the tiling is over all dimensions.

Tiling(double[], double[], boolean[]) - Constructor for class burlap.behavior.functionapproximation.sparse.tilecoding.Tiling

Constructs a tiling using the given widths, offset of each dimension's tiling, and which dimensions are actually used in the tiling.

Tiling.FVTile - Class in burlap.behavior.functionapproximation.sparse.tilecoding

Stores a tiled version of a feature vector with a hashcode and equality comparions methods implemented.

TilingArrangement - Enum in burlap.behavior.functionapproximation.sparse.tilecoding

Enum for specifying whether tilings should have their tile alignments should be chossen so that they are randomly jittered from each other, or if each subsequent tiling should be offset by a uniform amount.

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

The time between each action selection

timeDelta - Variable in class burlap.domain.singleagent.cartpole.InvertedPendulum.IPPhysicsParams

The time between each action selection

timeDelta - Variable in class burlap.domain.singleagent.mountaincar.MountainCar.MCPhysicsParams

The time difference to pass in each update

timeIndex - Variable in class burlap.behavior.singleagent.learning.actorcritic.critics.TimeIndexedTDLambda.StateTimeElibilityTrace

The time/depth of the state this eligibility represents.

TimeIndexedTDLambda - Class in burlap.behavior.singleagent.learning.actorcritic.critics

An implementation of TDLambda that can be used as a critic for ActorCritic algorithms [1], except that this class treats states at different depths as unique states.

TimeIndexedTDLambda(double, HashableStateFactory, double, double, double) - Constructor for class burlap.behavior.singleagent.learning.actorcritic.critics.TimeIndexedTDLambda

Initializes the algorithm.

TimeIndexedTDLambda(RewardFunction, TerminalFunction, double, HashableStateFactory, double, double, double, int) - Constructor for class burlap.behavior.singleagent.learning.actorcritic.critics.TimeIndexedTDLambda

Initializes the algorithm.

TimeIndexedTDLambda(double, HashableStateFactory, double, ValueFunction, double, int) - Constructor for class burlap.behavior.singleagent.learning.actorcritic.critics.TimeIndexedTDLambda

Initializes the algorithm.

TimeIndexedTDLambda.StateTimeElibilityTrace - Class in burlap.behavior.singleagent.learning.actorcritic.critics

Extends the standard TDLambda.StateEligibilityTrace to include time/depth information.

tin - Variable in class burlap.shell.visual.TextAreaStreams

TitForTat - Class in burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage

A class for an agent that plays tit-for-tat.

TitForTat(SGDomain, Action, Action) - Constructor for class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.TitForTat

Initializes with the specified cooperate and defect actions for both players.

TitForTat(SGDomain, Action, Action, Action, Action) - Constructor for class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.TitForTat

Initializes with differently specified cooperate and defect actions for both players.

TitForTat.TitForTatAgentFactory - Class in burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage

An agent factory for a TitForTat player.

TitForTatAgentFactory(SGDomain, Action, Action) - Constructor for class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.TitForTat.TitForTatAgentFactory

Initializes with the specified cooperate and defect actions for both players.

TitForTatAgentFactory(SGDomain, Action, Action, Action, Action) - Constructor for class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.TitForTat.TitForTatAgentFactory

Initializes with differently specified cooperate and defect actions for both players.

toggleBatchMode(boolean) - Method in class burlap.behavior.singleagent.planning.stochastic.rtdp.RTDP

When batch mode is set, Bellman updates will be stalled until a roll out is complete and then run in reverse.

toggleCode(int, boolean) - Static method in class burlap.debugtools.DPrint

Enables/disables print commands to the given debug code

toggleDataCollection(boolean) - Method in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter

Toggle whether performance data collected from the action observation is recorded or not

toggleDataCollection(boolean) - Method in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter

Toggle whether performance data collected from the action observation is recorded or not

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

Toggles whether debug information should be printed

toggleDebugPrinting(boolean) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MLIRL

Sets whether information during learning is printed to the terminal.

toggleDebugPrinting(boolean) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL

Sets whether information during learning is printed to the terminal.

toggleDebugPrinting(boolean) - Method in class burlap.behavior.singleagent.MDPSolver

toggleDebugPrinting(boolean) - Method in interface burlap.behavior.singleagent.MDPSolverInterface

Toggles whether the solver's calls to DPrint should be printed.

toggleReachabiltiyTerminalStatePruning(boolean) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableVI

Sets whether the state reachability search to generate the state space will be prune the search from terminal states.

toggleReachabiltiyTerminalStatePruning(boolean) - Method in class burlap.behavior.singleagent.planning.stochastic.valueiteration.ValueIteration

Sets whether the state reachability search to generate the state space will be prune the search from terminal states.

toggleShouldDecomposeOption(boolean) - Method in class burlap.behavior.singleagent.learning.tdmethods.QLearning

Sets whether the primitive actions taken during an options will be included as steps in returned EpisodeAnalysis objects.

toggleShouldDecomposeOption(boolean) - Method in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam

Sets whether the primitive actions taken during an options will be included as steps in produced EpisodeAnalysis objects.

toggleTrialLengthInterpretation(boolean) - Method in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter

Changes whether the trial length provided in the constructor is interpreted as the number of episodes or total number of steps.

toggleTrialLengthInterpretation(boolean) - Method in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter

Changes whether the trial length provided in the constructor is interpreted as the number of episodes or total number of steps.

toggleUniversal(boolean) - Static method in class burlap.debugtools.DPrint

Specify whether previously unset debug codes will by default be allowed to print or not.

toggleValueStringRendering(boolean) - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.StateValuePainter2D

Enables or disables the rendering the text specifying the value of a state in its cell.

toggleVisualPlots(boolean) - Method in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter

Toggles whether plots should be displayed or not.

toggleVisualPlots(boolean) - Method in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter

Toggles whether plots should be displayed or not.

toInt() - Method in enum burlap.behavior.functionapproximation.sparse.tilecoding.TilingArrangement

toInt() - Method in enum burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.PolicyGlyphPainter2D.PolicyGlyphRenderStyle

top - Variable in class burlap.domain.singleagent.lunarlander.state.LLBlock

toString() - Method in class burlap.behavior.policy.support.ActionProb

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

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

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

toString() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF

toString() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateDifferentiableRF

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

toString() - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.MatrixAction

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

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

toString() - Method in class burlap.mdp.core.oo.propositional.GroundedProp

Returns a string representation of this grounded prop.

toString() - Method in class burlap.mdp.core.oo.propositional.PropositionalFunction

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

toString() - Method in class burlap.mdp.core.oo.state.OOVariableKey

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

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

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

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

totalEpisodes - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.Trial

The total number of episodes in the trial

totalEpisodes - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.Trial

The total number of episodes in the trial

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

The total number of learning steps performed by this agent.

totalNumberOfSteps - Variable in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda

The total number of learning steps performed by this agent.

totalNumberOfSteps - Variable in class burlap.behavior.singleagent.learning.tdmethods.QLearning

The total number of learning steps performed by this agent.

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

The total number of learning steps performed by this agent.

totalNumberOfSteps - Variable in class burlap.behavior.stochasticgames.agents.maql.MultiAgentQLearning

The total number of learning steps performed by this agent.

totalNumberOfSteps - Variable in class burlap.behavior.stochasticgames.agents.naiveq.SGNaiveQLAgent

The total number of learning steps performed by this agent.

totalPolicyIterations - Variable in class burlap.behavior.singleagent.planning.stochastic.policyiteration.PolicyIteration

The total number of policy iterations performed

totalSteps - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.Trial

the total number of steps in the trial

totalSteps - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.Trial

the total number of steps in the trial

totalValueIterations - Variable in class burlap.behavior.singleagent.planning.stochastic.policyiteration.PolicyIteration

The total number of value iterations used to evaluated policies performed

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

Copies the object with the given name, and updates its index in this state.

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

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

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

TouchGroundPF(String) - Constructor for class burlap.domain.singleagent.lunarlander.LunarLanderDomain.TouchGroundPF

Initializes to be evaluated on an agent object.

TouchGroundPF(String, double) - Constructor for class burlap.domain.singleagent.lunarlander.LunarLanderDomain.TouchGroundPF

Initializes to be evaluated on an agent object.

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

touchingPad - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderRF

touchingSurface - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderRF

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

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

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

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

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

TouchPadPF(String) - Constructor for class burlap.domain.singleagent.lunarlander.LunarLanderDomain.TouchPadPF

Initializes to be evaluated on an agent object and landing pad object.

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

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

TouchSurfacePF(String) - Constructor for class burlap.domain.singleagent.lunarlander.LunarLanderDomain.TouchSurfacePF

Initializes to be evaluated on an agent object and obstacle object.

Tournament - Class in burlap.mdp.stochasticgames.tournament

This class is designed to run tournaments of sets of users.

Tournament(int, MatchSelector, WorldGenerator) - Constructor for class burlap.mdp.stochasticgames.tournament.Tournament

Initializes the Tournament

Tournament(int, int, MatchSelector, WorldGenerator) - Constructor for class burlap.mdp.stochasticgames.tournament.Tournament

Initializes the Tournament

Tournament(List<AgentFactory>, int, MatchSelector, WorldGenerator) - Constructor for class burlap.mdp.stochasticgames.tournament.Tournament

Initializes the Tournament

Tournament(List<AgentFactory>, int, int, MatchSelector, WorldGenerator) - Constructor for class burlap.mdp.stochasticgames.tournament.Tournament

Initializes the Tournament

tournamentCumulatedReward - Variable in class burlap.mdp.stochasticgames.tournament.Tournament

tout - Variable in class burlap.shell.visual.TextAreaStreams

tps - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.MADynamicProgramming.JointActionTransitions

traces - Variable in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda

The eligibility traces for the current episode.

train(List<SupervisedVFA.SupervisedVFAInstance>) - Method in interface burlap.behavior.functionapproximation.supervised.SupervisedVFA

Uses supervised learning (regression) to learn a value function approximation of the input training data.

transition(Action, State, double) - Method in class burlap.behavior.singleagent.Episode

Records a transition event where the agent applied the usingAction action in the last state in this object's state sequence, transitioned to state nextState, and received reward r,.

transition(EnvironmentOutcome) - Method in class burlap.behavior.singleagent.Episode

Records a transition event from the EnvironmentOutcome.

transition(JointAction, State, double[]) - Method in class burlap.behavior.stochasticgames.GameEpisode

Records a transition from the last recorded state in this object using the specififed joint action to the specified next state and with the specified joint reward being received as a result.

transitionDynamics - Variable in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphActionType

The transition dynamics to use

transitionDynamics - Variable in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphStateModel

The transition dynamics to use

transitionDynamics - Variable in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain

The state-action stochastic transition dynamics from each state node.

transitionDynamics - Variable in class burlap.domain.singleagent.gridworld.GridWorldDomain.GridWorldModel

Matrix specifying the transition dynamics in terms of movement directions.

transitionDynamics - Variable in class burlap.domain.singleagent.gridworld.GridWorldDomain

Matrix specifying the transition dynamics in terms of movement directions.

transitionIsModeled(State, Action) - Method in interface burlap.behavior.singleagent.learning.modellearning.KWIKModel

Indicates whether this model "knows" how the transition dynamics from the given input state and action work.

transitionIsModeled(State, Action) - Method in class burlap.behavior.singleagent.learning.modellearning.models.TabularModel

transitionIsModeled(State, Action) - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.RMaxModel

TransitionProb - Class in burlap.mdp.singleagent.model

Tuple for the probability of a given transition in an MDP.

TransitionProb() - Constructor for class burlap.mdp.singleagent.model.TransitionProb

Default constructor, primarily for serialization purposes.

TransitionProb(double, EnvironmentOutcome) - Constructor for class burlap.mdp.singleagent.model.TransitionProb

Initializes

transitions(State, Action) - Method in class burlap.behavior.singleagent.learnfromdemo.CustomRewardModel

transitions(State, Action) - Method in class burlap.behavior.singleagent.learning.modellearning.models.TabularModel

transitions(State, Action) - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.RMaxModel

transitions(State, Action) - Method in class burlap.behavior.singleagent.options.model.BFSMarkovOptionModel

transitions(State, Action) - Method in class burlap.domain.singleagent.pomdp.tiger.TigerModel

transitions(State, Action) - Method in class burlap.mdp.singleagent.model.DelegatedModel

transitions(State, Action) - Method in class burlap.mdp.singleagent.model.FactoredModel

transitions(State, Action) - Method in interface burlap.mdp.singleagent.model.FullModel

Returns the set of possible transitions when Action is applied in State s.

transitions(State, Action) - Method in class burlap.mdp.singleagent.pomdp.BeliefMDPGenerator.BeliefModel

transitionSamples - Variable in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI

The number of transition samples used when computing the bellman operator.

transitionTo - Variable in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.NodeTransitionProbability

The resulting state

transposeMatrix(double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.GeneralBimatrixSolverTools

Creates and returns a new matrix that is a transpose of m.

treeRollOut(UCTStateNode, int, int) - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT

Performs a rollout in the UCT tree from the given node, keeping track of how many new nodes can be added to the tree.

treeSize - Variable in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT

Trial() - Constructor for class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.Trial

Trial() - Constructor for class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.Trial

trialLength - Variable in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter

The length of each trial

trialLength - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter

The length of each trial

trialLengthIsInEpisodes - Variable in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter

Whether the trial length specifies a number of episodes (which is the default) or the total number of steps

trialLengthIsInEpisodes - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter

Whether the trial length specifies a number of episodes (which is the default) or the total number of steps

trialMode - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter

specifies whether the most recent trial, average of all trials, or both plots will be displayed

TrialMode - Enum in burlap.behavior.singleagent.auxiliary.performance

Enumerator for specifying the what kinds of plots for each PerformanceMetric will be plotted by PerformancePlotter.

trialMode - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter

specifies whether the most recent trial, average of all trials, or both plots will be displayed

trials - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.DatasetsAndTrials

All the trials with this agent

trialUpdateComplete - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter

Synchronization object to ensure proper threaded plot updating

trialUpdateComplete - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter

Synchronization object to ensure proper threaded plot updating

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

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

type - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueState.RLGlueVarKey

type - Variable in class burlap.domain.singleagent.gridworld.state.GridLocation

type - Variable in class burlap.domain.stochasticgames.gridgame.state.GGGoal

type - Variable in class burlap.domain.stochasticgames.gridgame.state.GGWall

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

typeName() - Method in class burlap.behavior.singleagent.options.OptionType

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

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

typeName() - Method in interface burlap.mdp.core.action.ActionType

The unique name of this ActionType

typeName - Variable in class burlap.mdp.core.action.UniversalActionType

The type name of this ActionType

typeName() - Method in class burlap.mdp.core.action.UniversalActionType

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

typeName - Variable in class burlap.mdp.stochasticgames.agent.SGAgentType

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