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N

n - Variable in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTActionNode
The number of of times this action node has been taken
n - Variable in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTStateNode
The number of times this node has been visited
n - Variable in class burlap.oomdp.stochasticgames.tournament.common.AllPairWiseSameTypeMS
 
name - Variable in class burlap.oomdp.core.Attribute
name of the attribute
name - Variable in class burlap.oomdp.core.ObjectClass
 
name - Variable in class burlap.oomdp.core.objects.MutableObjectInstance
The unique name identifier of this object.
name - Variable in class burlap.oomdp.core.PropositionalFunction
 
name - Variable in class burlap.oomdp.singleagent.Action
The name of the action that can uniquely identify it
name - Variable in class burlap.oomdp.stateserialization.simple.SimpleSerializedObjectInstance
 
nCols() - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.EquilibriumPlayingSGAgent.BimatrixTuple
Returns the number of columns
nConfident - Variable in class burlap.behavior.singleagent.learning.modellearning.models.TabularModel
The number of transitions necessary to be confident in a model's prediction.
needsClearing - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter
Whether the current plots need their series data cleared for a new trial
needsClearing - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter
Whether the current plots need their series data cleared for a new trial
needsToUpdateQValue - Variable in class burlap.behavior.stochasticgames.agents.maql.MultiAgentQLearning
Whether the agent needs to update its Q-values from a recent experience
needsUpdate - Variable in class burlap.datastructures.BoltzmannDistribution
Indicates whether the probabilities need to be recomputed
needToRecomputeHashCode - Variable in class burlap.oomdp.statehashing.HashableObject.CachedHashableObject
 
needToRecomputeHashCode - Variable in class burlap.oomdp.statehashing.HashableState.CachedHashableState
 
newInstance() - Method in class burlap.oomdp.core.Domain
Will return a new instance of this Domain's class (either SADomain or SGDomain)
newInstance() - Method in class burlap.oomdp.singleagent.SADomain
 
newInstance() - Method in class burlap.oomdp.stochasticgames.SGDomain
 
nextAction - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface
Maintains the current RLGlue action to be performed.
nextAction - Variable in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface
The next action selected by the single agent
nextAction - Variable in class burlap.shell.command.world.ManualAgentsCommands.ManualSGAgent
 
nextActionFeatureId - Variable in class burlap.behavior.singleagent.vfa.cmac.CMACFeatureDatabase
The identifier to use for the next state-action pair feature
nextActionFeatureId - Variable in class burlap.behavior.singleagent.vfa.cmac.FVCMACFeatureDatabase
The identifier to use for the next state-action pair feature
nextActionMultiplier - Variable in class burlap.behavior.singleagent.vfa.common.FVToFeatureDatabase
The next action Fourier basis function size multiplier to use for the next newly seen action.
nextActionMultiplier - Variable in class burlap.behavior.singleagent.vfa.fourier.FourierBasis
The next action Fourier basis function size multiplier to use for the next newly seen action.
nextActionMultiplier - Variable in class burlap.behavior.singleagent.vfa.rbf.FVRBFFeatureDatabase
The next action RBF size multiplier to use for the next newly seen action.
nextActionMultiplier - Variable in class burlap.behavior.singleagent.vfa.rbf.RBFFeatureDatabase
The next action RBF size multiplier to use for the next newly seen action.
nextEnumeratedID - Variable in class burlap.behavior.singleagent.auxiliary.StateEnumerator
The id to use for the next unique state that is added
nextLRVal(double) - Method in class burlap.behavior.learningrate.ExponentialDecayLR
Returns the value of an input current learning rate after it has been decayed by one time step.
nextQValue - Variable in class burlap.behavior.stochasticgames.agents.maql.MultiAgentQLearning
The new Q-value to which the last Q-value needs to be udpated
nextState - Variable in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface
The next state received
nextStateFeatureId - Variable in class burlap.behavior.singleagent.vfa.cmac.CMACFeatureDatabase
The identifier to use for the next state feature.
nextStateFeatureId - Variable in class burlap.behavior.singleagent.vfa.cmac.FVCMACFeatureDatabase
The identifier to use for the next state feature.
nextStateReference - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface
Maintains the field to wait for the next state received from RLGlue
nodeComparator - Variable in class burlap.behavior.singleagent.planning.deterministic.informed.astar.IDAStar
The comparator to use for checking which nodes to expand first.
nodeMap - Variable in class burlap.datastructures.StochasticTree
A map from elements to the node that holds them.
nodesArray - Variable in class burlap.datastructures.HashIndexedHeap
Heap ordered list of objects
nodesByHeight - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling
The tree nodes indexed by state and height.
nodesByHeight - Variable in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling
The tree nodes indexed by state and height.
noParametersActionDescription() - Method in class burlap.oomdp.stochasticgames.JointAction
Returns a string representation of this joint aciton without including the parameters of any parameterized actions.
normalizeValues - Variable in class burlap.behavior.singleagent.vfa.common.ConcatenatedObjectFeatureVectorGenerator
Whether object values should be normalized.
normalRTDP(State) - Method in class burlap.behavior.singleagent.planning.stochastic.rtdp.RTDP
Runs normal RTDP in which bellman updates are performed after each action selection.
nothing - Variable in class burlap.domain.singleagent.pomdp.tiger.TigerDomain.TigerRF
The reward for do nothing.
nPlayers - Variable in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame
Number of players
nRbfs - Variable in class burlap.behavior.singleagent.vfa.rbf.FVRBFFeatureDatabase
The number of RBF units, not including an offset unit.
nRbfs - Variable in class burlap.behavior.singleagent.vfa.rbf.RBFFeatureDatabase
The number of RBF units, not including an offset unit.
nRows() - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.EquilibriumPlayingSGAgent.BimatrixTuple
Returns the number of rows
nTilings - Variable in class burlap.behavior.singleagent.vfa.cmac.CMACFeatureDatabase
The number of tilings
nTrials - Variable in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter
The number of trials that each agent is evaluated
nTrials - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter
The number of trials that each agent is evaluted
NullAbstraction - Class in burlap.oomdp.auxiliary.common
A StateAbstraction class that does nothing but returns a copy of input state.
NullAbstraction() - Constructor for class burlap.oomdp.auxiliary.common.NullAbstraction
 
NullAbstractionNoCopy - Class in burlap.oomdp.auxiliary.common
A StateAbstraction class the input state without copying it.
NullAbstractionNoCopy() - Constructor for class burlap.oomdp.auxiliary.common.NullAbstractionNoCopy
 
NullAction - Class in burlap.oomdp.singleagent.common
 
NullAction(String) - Constructor for class burlap.oomdp.singleagent.common.NullAction
 
NullAction(String, Domain) - Constructor for class burlap.oomdp.singleagent.common.NullAction
 
NullHeuristic - Class in burlap.behavior.singleagent.planning.deterministic.informed
A Heuristic implementation that always returns 0.
NullHeuristic() - Constructor for class burlap.behavior.singleagent.planning.deterministic.informed.NullHeuristic
 
NullJointReward - Class in burlap.oomdp.stochasticgames.common
A Joint reward function that always returns zero reward for each agent.
NullJointReward() - Constructor for class burlap.oomdp.stochasticgames.common.NullJointReward
 
NullRewardFunction - Class in burlap.oomdp.singleagent.common
This class defines a reward function that always returns 0
NullRewardFunction() - Constructor for class burlap.oomdp.singleagent.common.NullRewardFunction
 
NullTermination - Class in burlap.oomdp.auxiliary.common
A terminal state function in which no state is considered a terminal state.
NullTermination() - Constructor for class burlap.oomdp.auxiliary.common.NullTermination
 
numAttributes() - Method in class burlap.oomdp.core.ObjectClass
Returns the number of attributes that define this object class.
numBellmanUpdates - Variable in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP
Keeps track of the number of Bellman updates that have been performed across all planning.
numberOfBellmanUpdates - Variable in class burlap.behavior.singleagent.planning.stochastic.rtdp.RTDP
Stores the number of Bellman updates made across all planning.
numberOfFeatures() - Method in class burlap.behavior.singleagent.vfa.cmac.CMACFeatureDatabase
 
numberOfFeatures() - Method in class burlap.behavior.singleagent.vfa.cmac.FVCMACFeatureDatabase
 
numberOfFeatures() - Method in class burlap.behavior.singleagent.vfa.common.FVToFeatureDatabase
 
numberOfFeatures() - Method in interface burlap.behavior.singleagent.vfa.FeatureDatabase
Returns the number of features this database tracks.
numberOfFeatures() - Method in class burlap.behavior.singleagent.vfa.fourier.FourierBasis
 
numberOfFeatures() - Method in class burlap.behavior.singleagent.vfa.rbf.FVRBFFeatureDatabase
 
numberOfFeatures() - Method in class burlap.behavior.singleagent.vfa.rbf.RBFFeatureDatabase
 
numContinuousAtts - Variable in class burlap.oomdp.singleagent.interfaces.rlglue.RLGlueEnvironment
The number of RLGlue continuous attributes that will be used
numDiscreteAtts - Variable in class burlap.oomdp.singleagent.interfaces.rlglue.RLGlueEnvironment
The number of RLGlue discrete attributes that will be used
numEMIterations - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL
The number of EM iterations to run.
numEpisodesForPlanning - Variable in class burlap.behavior.singleagent.learning.actorcritic.ActorCritic
The number of simulated learning episodes to use when the ActorCritic.planFromState(State) method is called.
numEpisodesForPlanning - Variable in class burlap.behavior.singleagent.learning.tdmethods.QLearning
The maximum number of episodes to use for planning
numEpisodesForPlanning - Variable in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam
The maximum number of episodes to use for planning
numEpisodesToStore - Variable in class burlap.behavior.singleagent.learning.actorcritic.ActorCritic
The number of most recent learning episodes to store.
numEpisodesToStore - Variable in class burlap.behavior.singleagent.learning.lspi.LSPI
The number of the most recent learning episodes to store.
numEpisodesToStore - Variable in class burlap.behavior.singleagent.learning.modellearning.artdp.ARTDP
The number of the most recent learning episodes to store.
numEpisodesToStore - Variable in class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax
The number of the most recent learning episodes to store.
numEpisodesToStore - Variable in class burlap.behavior.singleagent.learning.tdmethods.QLearning
The number of the most recent learning episodes to store.
numEpisodesToStore - Variable in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam
The number of the most recent learning episodes to store.
numGames - Variable in class burlap.oomdp.stochasticgames.tournament.Tournament
 
numGridPoints - Variable in class burlap.behavior.singleagent.auxiliary.StateGridder.AttributeSpecification
The number of grid points along this attribute
numIterations - Variable in class burlap.tutorials.cpl.VITutorial
 
numLocationTypes - Variable in class burlap.domain.singleagent.gridworld.GridWorldDomain
The number of possible location types
numNodes - Variable in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain
The number of state nodes in the graph
numNonZeroPDs() - Method in interface burlap.behavior.singleagent.vfa.FunctionGradient
Returns the number of non-zero partial derivatives
numNonZeroPDs() - Method in class burlap.behavior.singleagent.vfa.FunctionGradient.SparseGradient
 
numObjects - Variable in class burlap.oomdp.singleagent.interfaces.rlglue.RLGlueEnvironment
The total number of objects that will appear in all states
numObjectsOfEachClass - Variable in class burlap.oomdp.singleagent.interfaces.rlglue.RLGlueEnvironment
The number of objects of each object class that will appear in all states.
numObservableObjects() - Method in class burlap.oomdp.core.states.FixedSizeImmutableState
Returns the number of observable object instances in this state.
numObservableObjects() - Method in class burlap.oomdp.core.states.ImmutableState
Returns the number of observable object instances in this state.
numOptionsInGAs(List<GroundedAction>) - Method in class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.DFS
Returns the number of options present in a list of possible actions.
numParameters() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF
 
numParameters() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateDifferentiableRF
 
numParameters() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.DiffVFRF
 
numParameters() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit
 
numParameters() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearStateDiffVF
 
numParameters() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.VanillaDiffVinit
 
numParameters() - Method in class burlap.behavior.singleagent.vfa.common.LinearFVVFA
 
numParameters() - Method in class burlap.behavior.singleagent.vfa.common.LinearVFA
 
numParameters() - Method in interface burlap.behavior.singleagent.vfa.ParametricFunction
Returns the number of parameters defining this function.
numRenderLayers() - Method in class burlap.oomdp.visualizer.MultiLayerRenderer
Returns the number of render layers
numRollouts - Variable in class burlap.behavior.singleagent.planning.stochastic.rtdp.RTDP
the number of rollouts to perform when planning is started unless the value function delta is small enough.
numRollOutsFromRoot - Variable in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT
 
numSamplesForPlanning - Variable in class burlap.behavior.singleagent.learning.lspi.LSPI
the number of samples that are acquired for this object's dataset when the LSPI.planFromState(State) method is called.
numStateFeatures - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF
The number of state features
numStates() - Method in class burlap.oomdp.singleagent.pomdp.beliefstate.tabular.TabularBeliefState
Returns the size of the observed underlying MDP state space.
numStatesEnumerated() - Method in class burlap.behavior.singleagent.auxiliary.StateEnumerator
Returns the number of states that have been enumerated
numStateVariables - Variable in class burlap.behavior.singleagent.vfa.fourier.FourierBasis
The number of state varibles on which the produced basis functions operate
numSteps - Variable in class burlap.behavior.singleagent.options.support.EnvironmentOptionOutcome
The number of time steps for which the option was executed.
numSteps - Variable in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP
Keeps track of the number of rollout steps that have been performed across all planning rollouts.
numSteps - Variable in class burlap.oomdp.singleagent.explorer.VisualExplorer
 
numStepsSinceLastLearningPI - Variable in class burlap.behavior.singleagent.learning.lspi.LSPI
Number of new observations received from learning episodes since LSPI was run
numTimeSteps() - Method in class burlap.behavior.singleagent.EpisodeAnalysis
Returns the number of time steps in this episode, which is equivalent to the number of states.
numTimeSteps() - Method in class burlap.behavior.stochasticgames.GameAnalysis
Returns the number of time steps recorded which is equal to the number of states observed.
numTotalObjects() - Method in class burlap.oomdp.core.states.FixedSizeImmutableState
Returns the number of observable and hidden object instances in this state.
numTotalObjects() - Method in class burlap.oomdp.core.states.ImmutableState
Returns the number of observable and hidden object instances in this state.
numTotalObjects() - Method in class burlap.oomdp.core.states.MutableState
Returns the number of object instances in this state.
numTotalObjects() - Method in interface burlap.oomdp.core.states.State
Returns the number of object instances in this state.
numTotalObjects() - Method in class burlap.oomdp.singleagent.pomdp.beliefstate.tabular.TabularBeliefState
 
numTotalObjects() - Method in class burlap.oomdp.statehashing.HashableState
 
numUpdates - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling
The total number of pseudo-Bellman updates
numUpdates - Variable in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling
The total number of pseudo-Bellman updates
numVisits - Variable in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT
 
numVisted - Variable in class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.DFS
Planning statistic for keeping track of how many nodes DFS expanded.
numXCells - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.PolicyGlyphPainter2D
Option used for specifying the number of possible states that will be rendered in a row (i.e., across the x-axis).
numXCells - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.StateValuePainter2D
Option used for specifying the number of possible states that will be rendered in a row (i.e., across the x-axis).
numYCells - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.PolicyGlyphPainter2D
Option used for specifying the number of possible states that will be rendered in a column (i.e., across the y-axis).
numYCells - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.StateValuePainter2D
Option used for specifying the number of possible states that will be rendered in a column (i.e., across the y-axis).
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