 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.mdp.stochasticgames.tournament.common.AllPairWiseSameTypeMS

 name  Variable in class burlap.behavior.singleagent.options.MacroAction

The name of the action
 name  Variable in class burlap.behavior.singleagent.options.SubgoalOption

The name of the option
 name()  Method in class burlap.domain.singleagent.blockdude.state.BlockDudeAgent

 name  Variable in class burlap.domain.singleagent.blockdude.state.BlockDudeCell

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

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

 name  Variable in class burlap.domain.singleagent.blocksworld.BlocksWorld.NamedColor

 name  Variable in class burlap.domain.singleagent.blocksworld.BlocksWorldBlock

 name()  Method in class burlap.domain.singleagent.blocksworld.BlocksWorldBlock

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

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

 name  Variable in class burlap.domain.singleagent.frostbite.state.FrostbitePlatform

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

 name  Variable in class burlap.domain.singleagent.gridworld.state.GridAgent

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

 name  Variable in class burlap.domain.singleagent.gridworld.state.GridLocation

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

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

 name  Variable in class burlap.domain.singleagent.lunarlander.state.LLBlock

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

 name  Variable in class burlap.domain.stochasticgames.gridgame.state.GGAgent

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

 name  Variable in class burlap.domain.stochasticgames.gridgame.state.GGGoal

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

 name  Variable in class burlap.domain.stochasticgames.gridgame.state.GGWall

 name()  Method in class burlap.domain.stochasticgames.gridgame.state.GGWall

 name  Variable in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.MatrixAction

 name  Variable in class burlap.mdp.core.action.SimpleAction

 name  Variable in class burlap.mdp.core.oo.propositional.PropositionalFunction

 name()  Method in interface burlap.mdp.core.oo.state.ObjectInstance

Returns the name of this object instance
 name  Variable in class burlap.mdp.singleagent.oo.ObjectParameterizedActionType

 name  Variable in class burlap.mdp.singleagent.oo.ObjectParameterizedActionType.SAObjectParameterizedAction

 NamedColor()  Constructor for class burlap.domain.singleagent.blocksworld.BlocksWorld.NamedColor

 NamedColor(String, Color)  Constructor for class burlap.domain.singleagent.blocksworld.BlocksWorld.NamedColor

 namesToInd  Variable in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.ActionNameMap

 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 Qvalues from a recent experience
 needsUpdate  Variable in class burlap.datastructures.BoltzmannDistribution

Indicates whether the probabilities need to be recomputed
 nextAction  Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent

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

 nextActionMultiplier  Variable in class burlap.behavior.functionapproximation.dense.fourier.FourierBasis

The next action Fourier basis function size multiplier to use for the next newly seen action.
 nextActionMultiplier  Variable in class burlap.behavior.functionapproximation.dense.rbf.RBFFeatures

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
 nextFeatureId  Variable in class burlap.behavior.functionapproximation.sparse.SparseCrossProductFeatures

 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 Qvalue to which the last Qvalue 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.functionapproximation.sparse.tilecoding.TileCodingFeatures

The identifier to use for the next state feature.
 nextStateReference  Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent

Maintains the field to wait for the next state received from RLGlue
 NFGameState  Class in burlap.domain.stochasticgames.normalform

 NFGameState()  Constructor for class burlap.domain.stochasticgames.normalform.NFGameState

Default constructor for serialization
 NFGameState(int)  Constructor for class burlap.domain.stochasticgames.normalform.NFGameState

 NFGameState(String[])  Constructor for class burlap.domain.stochasticgames.normalform.NFGameState

 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.
 NodeTransitionProbability(int, double)  Constructor for class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.NodeTransitionProbability

Initializes transition probability
 NonMarkovOptionScanNode(State)  Constructor for class burlap.behavior.singleagent.options.model.BFSNonMarkovOptionModel.NonMarkovOptionScanNode

 NonMarkovOptionScanNode(BFSNonMarkovOptionModel.NonMarkovOptionScanNode, State, double, double, Action)  Constructor for class burlap.behavior.singleagent.options.model.BFSNonMarkovOptionModel.NonMarkovOptionScanNode

 nonZeroBeliefs()  Method in interface burlap.mdp.singleagent.pomdp.beliefstate.EnumerableBeliefState

Returns the states, and their probability mass, that have nonzero probability mass.
 nonZeroBeliefs()  Method in class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefState

 norm(double)  Method in class burlap.mdp.core.state.vardomain.VariableDomain

Given a value in this variable domain, returns its normalized value.
 NormalizedVariableFeatures  Class in burlap.behavior.functionapproximation.dense

This class is will construct a double array from states by iterating over numeric state variables and setting values
in the double array to the variables normalized value.
 NormalizedVariableFeatures()  Constructor for class burlap.behavior.functionapproximation.dense.NormalizedVariableFeatures

 NormalizedVariableFeatures(Map<Object, VariableDomain>)  Constructor for class burlap.behavior.functionapproximation.dense.NormalizedVariableFeatures

 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.
 normSign  Variable in class burlap.domain.singleagent.cartpole.states.CartPoleFullState

 nothing  Variable in class burlap.domain.singleagent.pomdp.tiger.TigerModel

The reward for do nothing.
 nothingReward  Variable in class burlap.domain.singleagent.pomdp.tiger.TigerDomain

The reward for do nothing.
 nPlayers  Variable in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

Number of players
 nRbfs  Variable in class burlap.behavior.functionapproximation.dense.rbf.RBFFeatures

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
 nSteps  Variable in class burlap.behavior.singleagent.options.model.BFSMarkovOptionModel.OptionScanNode

The number of steps taken to reach this node.
 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
 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

 NullJointRewardFunction  Class in burlap.mdp.stochasticgames.common

A Joint reward function that always returns zero reward for each agent.
 NullJointRewardFunction()  Constructor for class burlap.mdp.stochasticgames.common.NullJointRewardFunction

 NullRewardFunction  Class in burlap.mdp.singleagent.common

This class defines a reward function that always returns 0
 NullRewardFunction()  Constructor for class burlap.mdp.singleagent.common.NullRewardFunction

 NullState  Class in burlap.mdp.core.state

A null state that contains no information.
 NullTermination  Class in burlap.mdp.auxiliary.common

A terminal state function in which no state is considered a terminal state.
 NullTermination()  Constructor for class burlap.mdp.auxiliary.common.NullTermination

 numActions  Variable in class burlap.behavior.functionapproximation.dense.DenseCrossProductFeatures

The number of possible actions
 numActions()  Method in class burlap.behavior.singleagent.Episode

Returns the number of actions, which is 1 less than the number of states.
 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.
 numberPlatformCol  Variable in class burlap.domain.singleagent.frostbite.FrostbiteModel

 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

 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.
 NumericVariableFeatures  Class in burlap.behavior.functionapproximation.dense

A
DenseStateFeatures
that iterates through all state variables in a state
and places them into the returned double array.
 NumericVariableFeatures()  Constructor for class burlap.behavior.functionapproximation.dense.NumericVariableFeatures

 NumericVariableFeatures(Object...)  Constructor for class burlap.behavior.functionapproximation.dense.NumericVariableFeatures

 NumericVariableFeatures(List<Object>)  Constructor for class burlap.behavior.functionapproximation.dense.NumericVariableFeatures

 numFeatures()  Method in class burlap.behavior.functionapproximation.sparse.SparseCrossProductFeatures

 numFeatures()  Method in interface burlap.behavior.functionapproximation.sparse.SparseStateActionFeatures

Returns the total number of features
 numFeatures()  Method in interface burlap.behavior.functionapproximation.sparse.SparseStateFeatures

Returns the total number of features
 numFeatures()  Method in class burlap.behavior.functionapproximation.sparse.tilecoding.TileCodingFeatures

 numGames  Variable in class burlap.mdp.stochasticgames.tournament.Tournament

 numGridPoints  Variable in class burlap.behavior.singleagent.auxiliary.gridset.VariableGridSpec

The number of grid points along this variable
 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.functionapproximation.FunctionGradient

Returns the number of nonzero partial derivatives
 numNonZeroPDs()  Method in class burlap.behavior.functionapproximation.FunctionGradient.SparseGradient

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

 numObjects()  Method in class burlap.domain.singleagent.blocksworld.BlocksWorldState

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

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

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

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

 numObjects()  Method in interface burlap.mdp.core.oo.state.OOState

Returns the number of object instances in this state.
 numOptionsInGAs(List<Action>)  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.functionapproximation.dense.DenseLinearVFA

 numParameters()  Method in class burlap.behavior.functionapproximation.dense.DenseStateActionLinearVFA

 numParameters()  Method in interface burlap.behavior.functionapproximation.ParametricFunction

Returns the number of parameters defining this function.
 numParameters()  Method in class burlap.behavior.functionapproximation.sparse.LinearVFA

 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

 numRenderLayers()  Method in class burlap.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

 numStateFeatures  Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF

The number of state features
 numStates()  Method in class burlap.mdp.singleagent.pomdp.beliefstate.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.functionapproximation.dense.fourier.FourierBasis

The number of state variables on which the produced basis functions operate
 numSteps()  Method in class burlap.behavior.singleagent.options.EnvironmentOptionOutcome

 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.
 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.Episode

Returns the number of time steps in this episode, which is equivalent to the number of states.
 numTimeSteps()  Method in class burlap.behavior.stochasticgames.GameEpisode

Returns the number of time steps recorded which is equal to the number of states observed.
 numUpdates  Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling

The total number of pseudoBellman updates
 numUpdates  Variable in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling

The total number of pseudoBellman 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.StateValuePainter2D

Option used for specifying the number of possible states that will be rendered in a row (i.e., across the xaxis).
 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 yaxis).