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T

tabDomain - Variable in class burlap.domain.singleagent.tabularized.TabulatedDomainWrapper
The output tabularied domain
TabularModel - Class in burlap.behavior.singleagent.learning.modellearning.models
A tabular model using frequencies to model the transition dynamics.
TabularModel(Domain, StateHashFactory, int) - Constructor for class burlap.behavior.singleagent.learning.modellearning.models.TabularModel
Initializes.
TabulatedDomainWrapper - Class in burlap.domain.singleagent.tabularized
In general, it is suggested algorithms be designed to work with either factored state representations or the BURLAP State Hashing.
TabulatedDomainWrapper(Domain, StateHashFactory) - Constructor for class burlap.domain.singleagent.tabularized.TabulatedDomainWrapper
Constructs.
TabulatedDomainWrapper.ActionWrapper - Class in burlap.domain.singleagent.tabularized
An action wrapper that coverts a tabularized state into the source domain state, perform the corresponding source domain action on it getting the resutling source domain state and returns the tabularized version of the resulting source domain state.
TabulatedDomainWrapper.ActionWrapper(Domain, Action) - Constructor for class burlap.domain.singleagent.tabularized.TabulatedDomainWrapper.ActionWrapper
Constructs
target - Variable in class burlap.oomdp.core.values.RelationalValue
A string representing the object target of this value.
targetAgentQName - Variable in class burlap.behavior.stochasticgame.mavaluefunction.policies.EGreedyJointPolicy
The agent whose q-values dictate which joint actions to return
targetAgentQName - Variable in class burlap.behavior.stochasticgame.mavaluefunction.policies.EMinMaxPolicy
The target agent who is maximizing action selection
targetObjects - Variable in class burlap.oomdp.core.values.MultiTargetRelationalValue
The set of object targets to which this value points.
TATTNAME - Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain
Constant for the name of the top boundary attribute for rectangular obstacles and landing pads
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(RewardFunction, TerminalFunction, double, StateHashFactory, double, double, double) - Constructor for class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda
Initializes the algorithm.
TDLambda(RewardFunction, TerminalFunction, double, StateHashFactory, double, ValueFunctionInitialization, 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.
TDLambda.StateEligibilityTrace(StateHashTuple, double, TDLambda.VValue) - Constructor for class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda.StateEligibilityTrace
Initializes with hashed state, eligibility value and the value function value associated with the state.
teardown() - Method in class burlap.testing.TestGridWorld
 
teardown() - Method in class burlap.testing.TestPlanning
 
temperature - Variable in class burlap.datastructures.BoltzmannDistribution
The temperature value.
tempNormalized - Variable in class burlap.datastructures.BoltzmannDistribution
The preference values normalized by the temperature
TERMATT - Static variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueWrappedDomainGenerator
 
TERMCLASS - Static variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueWrappedDomainGenerator
 
TerminalExplorer - Class in burlap.oomdp.singleagent.explorer
This class allows you act as the agent by choosing actions to take in specific states.
TerminalExplorer(Domain) - Constructor for class burlap.oomdp.singleagent.explorer.TerminalExplorer
Initializes the explorer with the specified domain
TerminalExplorer(Domain, Map<String, String>) - Constructor for class burlap.oomdp.singleagent.explorer.TerminalExplorer
Initializes the explorer with the specified domain and short hand names for actions
terminalFunction - Variable in class burlap.behavior.stochasticgame.agents.mavf.MAVFPlannerFactory.MAVIPlannerFactory
The state terminal function.
terminalFunction - Variable in class burlap.behavior.stochasticgame.mavaluefunction.MAValueFunctionPlanner
The state terminal function.
TerminalFunction - Interface in burlap.oomdp.core
And interface for defining terminal states of an MDP.
terminalFunction - Variable in class burlap.oomdp.singleagent.explorer.TerminalExplorer
 
terminalFunction - Variable in class burlap.oomdp.singleagent.explorer.VisualExplorer
 
terminalFunction - Variable in class burlap.oomdp.stochasticgames.explorers.SGTerminalExplorer
 
terminalFunction - Variable in class burlap.oomdp.stochasticgames.explorers.SGVisualExplorer
 
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
terminateMapper - Variable in class burlap.behavior.singleagent.options.Option
An optional mapping from initiation states to terminal states so that the execution of an option does not need to be simulated.
test1() - Static method in class burlap.datastructures.StochasticTree
Another example usage
test2() - Static method in class burlap.datastructures.StochasticTree
An example usage
testAddition() - Method in class burlap.testing.TestTesting
 
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
 
TestGridWorld - Class in burlap.testing
 
TestGridWorld() - Constructor for class burlap.testing.TestGridWorld
 
testGridWorld() - Method in class burlap.testing.TestGridWorld
 
TestPlanning - Class in burlap.testing
 
TestPlanning() - Constructor for class burlap.testing.TestPlanning
 
TestRunner - Class in burlap.testing
 
TestRunner() - Constructor for class burlap.testing.TestRunner
 
TestSuite - Class in burlap.testing
 
TestSuite() - Constructor for class burlap.testing.TestSuite
 
TestTesting - Class in burlap.testing
 
TestTesting() - Constructor for class burlap.testing.TestTesting
 
tf - Variable in class burlap.behavior.singleagent.learnbydemo.mlirl.support.QGradientPlannerFactory.DifferentiableVIFactory
The terminal function that the planner uses.
tf - Variable in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda
The state termination function to indicate end states
tf - Variable in class burlap.behavior.singleagent.learning.modellearning.modelplanners.VIModelPlanner
The model termination function
tf - Variable in class burlap.behavior.singleagent.planning.deterministic.TFGoalCondition
 
tf - Variable in class burlap.behavior.singleagent.planning.OOMDPPlanner
The terminal function for identifying terminal states
tf - Variable in class burlap.behavior.stochasticgame.auxiliary.performance.MultiAgentExperimenter
The terminal function defining when episodes in a trial end
tf - Variable in class burlap.behavior.stochasticgame.auxiliary.performance.MultiAgentPerformancePlotter
Terminal funciton for determining when episodes have ended.
tf - Variable in class burlap.oomdp.singleagent.interfaces.rlglue.RLGlueEnvironment
The terminal function
tf - Variable in class burlap.oomdp.stochasticgames.tournament.common.ConstantWorldGenerator
 
tf - Variable in class burlap.oomdp.stochasticgames.World
 
TFGoalCondition - Class in burlap.behavior.singleagent.planning.deterministic
A simple StateConditionTest wrapper of TerminalFunciton.
TFGoalCondition(TerminalFunction) - Constructor for class burlap.behavior.singleagent.planning.deterministic.TFGoalCondition
Sets this class to return true on any states that are terminal states as indicated by the TerminalFunction.
tHistory - Variable in class burlap.behavior.singleagent.learnbydemo.apprenticeship.ApprenticeshipLearningRequest
the history of scores across each reward function improvement
threshold - Variable in class burlap.domain.singleagent.mountaincar.MountainCar.ClassicMCTF
 
thrustValue - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.ActionThrust
 
thrustValues - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain
List of the thrust forces for each thrust action
tiledObjectsByClass - Variable in class burlap.behavior.singleagent.vfa.cmac.Tiling.StateTile
The tiled version of object instances in the state
tiledVector - Variable in class burlap.behavior.singleagent.vfa.cmac.FVTiling.FVTile
 
tileWidths - Variable in class burlap.behavior.singleagent.interfaces.rlglue.common.RLGlueCMACSarsaLambdaFactory
The tile widths for each attribute
Tiling - Class in burlap.behavior.singleagent.vfa.cmac
This class provides a tiling specification, which tiles a state according to multi-dimensional tiling of specified attributes for specified object classes.
Tiling() - Constructor for class burlap.behavior.singleagent.vfa.cmac.Tiling
Initializes an empty tiling with not attribute specifications.
Tiling.ObjectTile - Class in burlap.behavior.singleagent.vfa.cmac
A class for creating a tiling of a single OO-MDP object instance which will be combined with other object instance tiles to create a single state tiling.
Tiling.ObjectTile(ObjectInstance) - Constructor for class burlap.behavior.singleagent.vfa.cmac.Tiling.ObjectTile
Creates a tile for the given object instance
Tiling.StateTile - Class in burlap.behavior.singleagent.vfa.cmac
A class for representing a tile, which can be treated as a state feature.
Tiling.StateTile(State) - Constructor for class burlap.behavior.singleagent.vfa.cmac.Tiling.StateTile
Creates a state tile for the given input state
tilings - Variable in class burlap.behavior.singleagent.vfa.cmac.CMACFeatureDatabase
The set of tilings for producing state features
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(RewardFunction, TerminalFunction, double, StateHashFactory, double, double, double) - Constructor for class burlap.behavior.singleagent.learning.actorcritic.critics.TimeIndexedTDLambda
Initializes the algorithm.
TimeIndexedTDLambda(RewardFunction, TerminalFunction, double, StateHashFactory, double, double, double, int) - Constructor for class burlap.behavior.singleagent.learning.actorcritic.critics.TimeIndexedTDLambda
Initializes the algorithm.
TimeIndexedTDLambda(RewardFunction, TerminalFunction, double, StateHashFactory, double, ValueFunctionInitialization, 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.
TimeIndexedTDLambda.StateTimeElibilityTrace(StateHashTuple, int, double, TDLambda.VValue) - Constructor for class burlap.behavior.singleagent.learning.actorcritic.critics.TimeIndexedTDLambda.StateTimeElibilityTrace
Initializes with hashed state, eligibility value, time/depth of the state, and the value function value associated with the state.
TitForTat - Class in burlap.behavior.stochasticgame.agents.twoplayer.repeatedsinglestage
A class for an agent that plays tit-for-tat.
TitForTat(SGDomain, SingleAction, SingleAction) - Constructor for class burlap.behavior.stochasticgame.agents.twoplayer.repeatedsinglestage.TitForTat
Initializes with the specified cooperate and defect actions for both players.
TitForTat(SGDomain, SingleAction, SingleAction, SingleAction, SingleAction) - Constructor for class burlap.behavior.stochasticgame.agents.twoplayer.repeatedsinglestage.TitForTat
Initializes with differently specified cooperate and defect actions for both players.
TitForTat.TitForTatAgentFactory - Class in burlap.behavior.stochasticgame.agents.twoplayer.repeatedsinglestage
An agent factory for a TitForTat player.
TitForTat.TitForTatAgentFactory(SGDomain, SingleAction, SingleAction) - Constructor for class burlap.behavior.stochasticgame.agents.twoplayer.repeatedsinglestage.TitForTat.TitForTatAgentFactory
Initializes with the specified cooperate and defect actions for both players.
TitForTat.TitForTatAgentFactory(SGDomain, SingleAction, SingleAction, SingleAction, SingleAction) - Constructor for class burlap.behavior.stochasticgame.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.stochasticgame.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.RLGlueAgentShell
Toggles whether debug information should be printed
toggleDebugPrinting(boolean) - Method in class burlap.behavior.singleagent.learnbydemo.mlirl.MLIRL
Sets whether information during learning is printed to the terminal.
toggleDebugPrinting(boolean) - Method in class burlap.behavior.singleagent.learnbydemo.mlirl.MultipleIntentionsMLIRL
Sets whether information during learning is printed to the terminal.
toggleDebugPrinting(boolean) - Method in class burlap.behavior.singleagent.planning.OOMDPPlanner
Toggles whether the planner's calls to DPrint should be printed.
toggleDebugPrinting(boolean) - Method in class burlap.oomdp.core.Domain
Toggles whether debug messages are printed
toggleReachabiltiyTerminalStatePruning(boolean) - Method in class burlap.behavior.singleagent.learnbydemo.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.
toggleShouldAnnotateOptionDecomposition(boolean) - Method in class burlap.behavior.singleagent.learning.tdmethods.QLearning
Sets whether options that are decomposed into primitives will have the option that produced them and listed.
toggleShouldAnnotateOptionDecomposition(boolean) - Method in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam
Sets whether options that are decomposed into primitives will have the option that produced them and listed.
toggleShouldAnnotateResults(boolean) - Method in class burlap.behavior.singleagent.options.Option
Toggle whether the last recorded option execution will annotate the actions taken with this option's name
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 produced 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.
toggleShouldRecordResults(boolean) - Method in class burlap.behavior.singleagent.options.Option
Change whether the options last execution will be recorded or not.
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.stochasticgame.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.
toggleUseCachedTransitionDynamics(boolean) - Method in class burlap.behavior.singleagent.planning.ValueFunctionPlanner
Sets whether this object should cache hashed transition dynamics for each for faster look up, or whether to procedurally generate the transition dynamics as needed from the Action objects.
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.stochasticgame.auxiliary.performance.MultiAgentExperimenter
Toggles whether plots should be displayed or not.
toInt() - Method in enum burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.PolicyGlyphPainter2D.PolicyGlyphRenderStyle
 
toInt() - Method in enum burlap.behavior.singleagent.vfa.cmac.CMACFeatureDatabase.TilingArrangement
 
toInt() - Method in enum burlap.oomdp.core.Attribute.AttributeType
 
toString() - Method in class burlap.behavior.singleagent.learnbydemo.mlirl.support.DifferentiableRF
 
toString() - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.StrategyProfile
 
toString() - Method in class burlap.oomdp.core.GroundedProp
Returns a string representation of this grounded prop.
toString() - Method in class burlap.oomdp.core.PropositionalFunction
 
toString() - Method in class burlap.oomdp.core.State
 
toString() - Method in class burlap.oomdp.core.Value
 
toString() - Method in class burlap.oomdp.singleagent.GroundedAction
 
toString() - Method in class burlap.oomdp.stochasticgames.GroundedSingleAction
 
toString() - Method in class burlap.oomdp.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.stochasticgame.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.stochasticgame.agents.maql.MultiAgentQLearning
The total number of learning steps performed by this agent.
totalNumberOfSteps - Variable in class burlap.behavior.stochasticgame.agents.naiveq.SGNaiveQLAgent
The total number of learning steps performed by this agent.
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.stochasticgame.auxiliary.performance.MultiAgentPerformancePlotter.Trial
the total number of steps in the trial
touchingPad - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderRF
 
touchingSurface - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderRF
 
Tournament - Class in burlap.oomdp.stochasticgames.tournament
This class is designed to run tournaments of sets of users.
Tournament(int, MatchSelector, WorldGenerator) - Constructor for class burlap.oomdp.stochasticgames.tournament.Tournament
Initializes the Tournament
Tournament(int, int, MatchSelector, WorldGenerator) - Constructor for class burlap.oomdp.stochasticgames.tournament.Tournament
Initializes the Tournament
Tournament(List<AgentFactory>, int, MatchSelector, WorldGenerator) - Constructor for class burlap.oomdp.stochasticgames.tournament.Tournament
Initializes the Tournament
Tournament(List<AgentFactory>, int, int, MatchSelector, WorldGenerator) - Constructor for class burlap.oomdp.stochasticgames.tournament.Tournament
Initializes the Tournament
tournamentCumulatedReward - Variable in class burlap.oomdp.stochasticgames.tournament.Tournament
 
tps - Variable in class burlap.behavior.stochasticgame.mavaluefunction.MAValueFunctionPlanner.JointActionTransitions
 
traces - Variable in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda
The eligibility traces for the current episode.
trackingRewardFunction - Variable in class burlap.oomdp.singleagent.explorer.VisualExplorer
 
train(List<SupervisedVFA.SupervisedVFAInstance>) - Method in interface burlap.behavior.singleagent.planning.vfa.fittedvi.SupervisedVFA
Uses supervised learning (regression) to learn a value function approximation of the input training data.
train(List<SupervisedVFA.SupervisedVFAInstance>) - Method in class burlap.behavior.singleagent.planning.vfa.fittedvi.WekaVFATrainer
 
transitionDynamics - Variable in class burlap.behavior.singleagent.planning.ValueFunctionPlanner
A data structure for storing the hashed transition dynamics from each state, if this algorithm is set to use them.
transitionDynamics - Variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain
Matrix specifying the transition dynamics in terms of movement directions.
transitionDynamics - Variable in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphAction
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
Matrix specifying the transition dynamics in terms of movement directions.
transitionIsModeled(State, GroundedAction) - Method in class burlap.behavior.singleagent.learning.modellearning.Model
Indicates whether this model "knows" how the transition dynamics from the given input state and action work.
transitionIsModeled(State, GroundedAction) - Method in class burlap.behavior.singleagent.learning.modellearning.models.TabularModel
 
TransitionProbability - Class in burlap.oomdp.core
Represents the probability of transition to a given state.
TransitionProbability(State, double) - Constructor for class burlap.oomdp.core.TransitionProbability
 
transitionProbsFor(State, JointAction) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics
 
transitionProbsFor(State, JointAction) - Method in class burlap.oomdp.stochasticgames.common.StaticRepeatedGameActionModel
 
transitionProbsFor(State, JointAction) - Method in class burlap.oomdp.stochasticgames.JointActionModel
Returns the transition probabilities for applying the provided JointAction action in the given state.
transitions - Variable in class burlap.behavior.singleagent.planning.ActionTransitions
 
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.NodeTransitionProbibility
The resulting state
translateAction(GroundedAction, Map<String, String>) - Method in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor
Takes a parameterized GroundedAction and returns an action with its parameters shifting according to a provided object matching from the state in which the action was applied and some other state's object name identifiers.
translateAction(GroundedAction, Map<String, String>) - Method in class burlap.behavior.singleagent.planning.OOMDPPlanner
Takes a source parameterized GroundedAction and a matching between object instances of two different states and returns a GroudnedAction with parameters using the matched parameters.
translateAction(GroundedSingleAction, Map<String, String>) - Method in class burlap.behavior.stochasticgame.agents.naiveq.SGNaiveQLAgent
Takes an input action and mapping objects in the source state for the action to objects in another state and returns a action with its object parameters mapped to the matched objects.
translateParameters(State, State) - Method in class burlap.oomdp.core.AbstractGroundedAction
This method will translate this object's parameters that were assigned for a given source state, into object parameters in the target state that are equal.
translateParameters(State, State) - Method in class burlap.oomdp.stochasticgames.JointAction
 
transposeMatrix(double[][]) - Static method in class burlap.behavior.stochasticgame.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
 
trialLength - Variable in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter
The length of each trial
trialLength - Variable in class burlap.behavior.stochasticgame.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.stochasticgame.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.stochasticgame.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.stochasticgame.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.stochasticgame.auxiliary.performance.MultiAgentPerformancePlotter
Synchronization object to ensure proper threaded plot updating
type - Variable in class burlap.oomdp.core.Attribute
type of values attribute holds
typeName - Variable in class burlap.oomdp.stochasticgames.AgentType
 
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