 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

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

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

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

 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 qvalues 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

 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

 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 OOMDP 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

 tin  Variable in class burlap.shell.visual.TextAreaStreams

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

A class for an agent that plays titfortat.
 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

 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 stateaction 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

 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

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

 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
