- 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.ObjectInstance
-
- 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
- NameDependentStateHashFactory - Class in burlap.behavior.statehashing
-
This hashing factory provides hashing and state equality checks for domains in which the object name references are important.
- NameDependentStateHashFactory() - Constructor for class burlap.behavior.statehashing.NameDependentStateHashFactory
-
- NameDependentStateHashFactory.NameDependentStateHashTuple - Class in burlap.behavior.statehashing
-
- NameDependentStateHashFactory.NameDependentStateHashTuple(State) - Constructor for class burlap.behavior.statehashing.NameDependentStateHashFactory.NameDependentStateHashTuple
-
- nCols() - Method in class burlap.behavior.stochasticgame.agents.twoplayer.singlestage.equilibriumplayer.EquilibriumPlayingAgent.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.stochasticgame.auxiliary.performance.MultiAgentPerformancePlotter
-
Whether the current plots need their series data cleared for a new trial
- needsToStartEpisode - Variable in class burlap.behavior.stochasticgame.agents.interfacing.singleagent.SingleAgentInterface
-
whether a new single agent learning episode needs to be started for the next action request
- needsToUpdateQValue - Variable in class burlap.behavior.stochasticgame.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.behavior.statehashing.StateHashTuple
-
- 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.RLGlueAgentShell
-
Maintains the current RLGlue action to be performed.
- nextAction - Variable in class burlap.behavior.stochasticgame.agents.interfacing.singleagent.SingleAgentInterface
-
A mutable action holding the next action to be taken by the agent
- 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.stochasticgame.agents.maql.MultiAgentQLearning
-
The new Q-value to which the last Q-value needs to be udpated
- nextState - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgentShell
-
Maintains the state received from RLGlue
- nextState - Variable in class burlap.behavior.stochasticgame.agents.interfacing.singleagent.SingleAgentInterface
-
A mutable state holding the next state for the single agent
- 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.
- 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.learnbydemo.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.
- 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.stochasticgame.agents.twoplayer.singlestage.equilibriumplayer.EquilibriumPlayingAgent.BimatrixTuple
-
Returns the number of rows
- nTiles - Variable in class burlap.behavior.singleagent.interfaces.rlglue.common.RLGlueCMACSarsaLambdaFactory
-
The number of tilings to use
- 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 evaluted
- nTrials - Variable in class burlap.behavior.stochasticgame.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, String) - Constructor for class burlap.oomdp.singleagent.common.NullAction
-
- NullAction(String, Domain, String[]) - Constructor for class burlap.oomdp.singleagent.common.NullAction
-
- NullAction(String, Domain, String[], String[]) - 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
-
- 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.learnbydemo.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.LearningAgent.LearningAgentBookKeeping
-
- 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.
- numFeatures() - Method in class burlap.behavior.singleagent.vfa.common.LinearFVVFA
-
- numFeatures() - Method in class burlap.behavior.singleagent.vfa.common.LinearVFA
-
- numFeatures() - Method in interface burlap.behavior.singleagent.vfa.ValueFunctionApproximation
-
Returns the number of features used in this approximator.
- 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
- numHiddenObjects() - Method in class burlap.oomdp.core.State
-
Returns the number of hidden object instances in this state.
- 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
- 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.
- numObservableAttributes() - Method in class burlap.oomdp.core.ObjectClass
-
Returns the number of observable attribtues that define this object class.
- numObservableObjects() - Method in class burlap.oomdp.core.State
-
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.
- 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
-
- numStateFeatures - Variable in class burlap.behavior.singleagent.learnbydemo.mlirl.commonrfs.LinearStateActionDifferentiableRF
-
The number of state features
- 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.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.stochasticgame.GameAnalysis
-
Returns the number of time steps recorded which is equal to the number of states observed.
- numTotalObjets() - Method in class burlap.oomdp.core.State
-
Returns the number of observable and hidden object instances in this state.
- numUpdates - Variable in class burlap.behavior.singleagent.learnbydemo.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).