D-Index

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

D

dataset - Variable in class burlap.behavior.singleagent.learning.lspi.LSPI: The SARS dataset on which LSPI is performed
dataset - Variable in class burlap.behavior.singleagent.learning.lspi.SARSData: The underlying list of SARSData.SARS tuples.
datasets - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.DatasetsAndTrials: The series datasets for this agent
DDPlannerPolicy - Class in burlap.behavior.singleagent.planning.deterministic: This is a dynamic deterministic valueFunction policy, which means if the source deterministic valueFunction has not already computed and cached the plan for a query state, then this policy will first compute a plan using the valueFunction and then return the answer
DDPlannerPolicy() - Constructor for class burlap.behavior.singleagent.planning.deterministic.DDPlannerPolicy
DDPlannerPolicy(DeterministicPlanner) - Constructor for class burlap.behavior.singleagent.planning.deterministic.DDPlannerPolicy: Initializes with the deterministic valueFunction
debugCode - Variable in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter: The debug code used for debug printing.
debugCode - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface: Debug code used for printing debug information.
debugCode - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.MLIRL: The debug code used for printing information to the terminal.
debugCode - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL: The debug code used for printing information to the terminal.
debugCode - Variable in class burlap.behavior.singleagent.MDPSolver: The debug code use for calls to DPrint
debugCode - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter: The debug code used for debug printing.
debugCode - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: The debug code used for debug printing.
debugCode - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.dpplanners.MAValueIteration: The debug code used for printing VI progress.
debugCode - Variable in class burlap.oomdp.core.Domain
debugCodeRFWeights - Static variable in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearning
debugCodeScore - Static variable in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearning
DebugFlags - Class in burlap.debugtools: A data structure for specifying debug flags that can be accessed and modified from any class
DebugFlags() - Constructor for class burlap.debugtools.DebugFlags
debugID - Static variable in class burlap.behavior.singleagent.auxiliary.StateReachability: The debugID used for making calls to DPrint.
debugId - Variable in class burlap.oomdp.stochasticgames.tournament.Tournament
debugId - Variable in class burlap.oomdp.stochasticgames.World
decayConstantShift - Variable in class burlap.behavior.learningrate.SoftTimeInverseDecayLR: The division scale offset
decayRate - Variable in class burlap.behavior.learningrate.ExponentialDecayLR: The exponential base by which the learning rate is decayed
deepCopyActionNameMapArray(SingleStageNormalFormGame.ActionNameMap[]) - Static method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.ActionNameMap
DEFAULT_EPSILON - Static variable in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest
DEFAULT_MAXITERATIONS - Static variable in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest
DEFAULT_POLICYCOUNT - Static variable in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest
DEFAULT_USEMAXMARGIN - Static variable in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest
DEFAULTBIMATRIXACTIONBASENAME - Static variable in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame: When this generator is constructed with a generic bimatrix or zero sum definition (SingleStageNormalFormGame.SingleStageNormalFormGame(String[][], double[][][]) or SingleStageNormalFormGame.SingleStageNormalFormGame(String[][]), respectively), action names for each row/column will take the form of: DEFAULTBIMATRIXACTIONBASENAMEi where i is the row/column index.
defaultCost(String, JointAction) - Method in class burlap.domain.stochasticgames.gridgame.GridGame.GGJointRewardFunction: Returns a default cost for an agent assuming the agent didn't transition to a goal state.
DEFAULTHEIGHT - Static variable in class burlap.domain.singleagent.gridworld.macro.MacroCellGridWorld
defaultMultiple - Variable in class burlap.oomdp.statehashing.DiscretizingHashableStateFactory: The default multiple to use for any continuous attributes that have not been specifically set.
defaultMultiple - Variable in class burlap.oomdp.statehashing.DiscretizingMaskedHashableStateFactory: The default multiple to use for any continuous attributes that have not been specifically set.
defaultQ - Variable in class burlap.behavior.stochasticgames.agents.naiveq.SGNaiveQFactory: The default Q-value to which Q-values will be initialized
defaultReward - Variable in class burlap.behavior.singleagent.options.support.LocalSubgoalRF: Defines the reward returned for transitions to applicable states, but not subgoal states; default -1
defaultReward - Variable in class burlap.domain.singleagent.frostbite.FrostbiteRF
defaultReward - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderRF: The default reward received for moving through the air
defaultReward - Variable in class burlap.oomdp.singleagent.common.GoalBasedRF
defaultToLowerValueAfterPlanning - Variable in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP: Sets what the DynamicProgramming valueFunction reference points to (the lower bound or upperbound) once a planning rollout is complete.
defaultWeight - Variable in class burlap.behavior.singleagent.vfa.common.LinearFVVFA: A default weight value for the functions weights.
defaultWeight - Variable in class burlap.behavior.singleagent.vfa.common.LinearVFA: A default weight for the functions
DEFAULTWIDTH - Static variable in class burlap.domain.singleagent.gridworld.macro.MacroCellGridWorld
delay - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: the delay in milliseconds between which the charts are updated automatically
delay - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: the delay in milliseconds between which the charts are updated automatically
delegate - Variable in class burlap.behavior.policy.Policy.GroundedAnnotatedAction: The GroundedAction delegate to be annotated that handles all methods except the Policy.GroundedAnnotatedAction.toString() method.
delegate - Variable in class burlap.oomdp.singleagent.environment.EnvironmentServer: the Environment delegate that handles all primary Environment functionality.
delta - Static variable in class burlap.testing.TestPlanning
DenseBeliefVector - Interface in burlap.oomdp.singleagent.pomdp.beliefstate: An interface to be used in conjunction with BeliefState instances for belief states that can generate a dense belief vector representation.
depth - Variable in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTStateNode: The depth the UCT tree
depthMap - Variable in class burlap.behavior.singleagent.planning.deterministic.informed.astar.DynamicWeightedAStar: Data structure for storing the depth of explored states
deserialize(Domain) - Method in class burlap.domain.singleagent.cartpole.SerializableCartPoleStateFactory.SerializableCartPoleState
deserialize(Domain) - Method in class burlap.domain.singleagent.cartpole.SerializableInvertedPendulumStateFactory.SerializableInvertedPendulumState
deserialize(Domain) - Method in class burlap.domain.singleagent.frostbite.SerializableFrostbiteStateFactory.SerializableFrostbiteState
deserialize(Domain) - Method in class burlap.domain.singleagent.gridworld.SerializableGridWorldStateFactory.SerializableGridWorldState
deserialize(Domain) - Method in class burlap.domain.singleagent.lunarlander.SerializableLunarLanderStateFactory.SerializableLunarLanderState
deserialize(Domain) - Method in class burlap.domain.singleagent.mountaincar.SerializableMountainCarStateFactory.SerializableMountainCarState
deserialize(Domain) - Method in class burlap.oomdp.stateserialization.SerializableState: Unpacks this SerializableState into an actual State in which the ObjectClass, Attribute and other Domain information refers to the provided Domain.
deserialize(Domain) - Method in class burlap.oomdp.stateserialization.simple.SimpleSerializableState
deserialize(Domain) - Method in class burlap.oomdp.stateserialization.simple.SimpleSerializedObjectInstance: Turns this representation into an actual ObjectInstance whose class and attributes are associated with the input Domain
deserializeStates(List<SerializableState>, Domain) - Static method in class burlap.oomdp.stateserialization.SerializableState: Takes a List of SerializableState objects and calls the SerializableState.deserialize(burlap.oomdp.core.Domain) method on them to turn it into a List of State objects.
DeterministicPlanner - Class in burlap.behavior.singleagent.planning.deterministic: This class extends the OOMDPlanner to provide the interface and common mechanisms for classic deterministic forward search planners.
DeterministicPlanner() - Constructor for class burlap.behavior.singleagent.planning.deterministic.DeterministicPlanner
DeterministicPlanner.PlanningFailedException - Exception in burlap.behavior.singleagent.planning.deterministic: Exception class for indicating that a solution failed to be found by the planning algorithm.
DeterministicPlanner.PlanningFailedException() - Constructor for exception burlap.behavior.singleagent.planning.deterministic.DeterministicPlanner.PlanningFailedException
deterministicPlannerInit(Domain, RewardFunction, TerminalFunction, StateConditionTest, HashableStateFactory) - Method in class burlap.behavior.singleagent.planning.deterministic.DeterministicPlanner: Initializes the valueFunction.
DeterministicTerminationOption - Class in burlap.behavior.singleagent.options: An option with a defined policy, initiation state set and termination state set.
DeterministicTerminationOption(String, Policy, StateConditionTest, StateConditionTest) - Constructor for class burlap.behavior.singleagent.options.DeterministicTerminationOption: Initializes.
DeterministicTerminationOption(String, StateConditionTestIterable, StateConditionTest, Planner, SolverDerivedPolicy) - Constructor for class burlap.behavior.singleagent.options.DeterministicTerminationOption: Initializes the option by creating the policy uses some provided option.
DeterministicTerminationOption(String, StateConditionTest, StateConditionTest, List<State>, Planner, SolverDerivedPolicy) - Constructor for class burlap.behavior.singleagent.options.DeterministicTerminationOption: Initializes the option by creating the policy uses some provided option.
deterministicTransition(State, GroundedAction) - Method in class burlap.oomdp.singleagent.Action: Returns the transition dynamics by assuming the action to be deterministic and wrapping the result of a Action.performAction(burlap.oomdp.core.states.State, burlap.oomdp.singleagent.GroundedAction) method with a 1.0 probable TransitionProbability object and inserting it in the returned list.
deterministicTransitionProbsFor(State, JointAction) - Method in class burlap.oomdp.stochasticgames.JointActionModel: A helper method for deterministic transition dynamics.
DFS - Class in burlap.behavior.singleagent.planning.deterministic.uninformed.dfs: Implements depth-first search.
DFS(Domain, StateConditionTest, HashableStateFactory) - Constructor for class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.DFS: Basic constructor for standard DFS without a depth limit
DFS(Domain, StateConditionTest, HashableStateFactory, int) - Constructor for class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.DFS: Basic constructor for standard DFS with a depth limit
DFS(Domain, StateConditionTest, HashableStateFactory, int, boolean) - Constructor for class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.DFS: Constructor of DFS with specification of depth limit and whether to maintain a closed list that affects exploration.
DFS(Domain, StateConditionTest, HashableStateFactory, int, boolean, boolean) - Constructor for class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.DFS: Constructor of DFS with specification of depth limit, whether to maintain a closed list that affects exploration, and whether paths generated by options should be explored first.
dfs(SearchNode, int, Set<HashableState>) - Method in class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.DFS: Runs DFS from a given search node, keeping track of its current depth.
dfs(SearchNode, int, Set<HashableState>) - Method in class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.LimitedMemoryDFS: Runs DFS from a given search node, keeping track of its current depth.
DFSExample(String) - Method in class burlap.tutorials.bpl.BasicBehavior
DFSInit(Domain, TerminalFunction, StateConditionTest, HashableStateFactory, int, boolean, boolean) - Method in class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.DFS: Constructor of DFS with specification of depth limit, whether to maintain a closed list that affects exploration, and whether paths generated by options should be explored first.
dheight - Variable in class burlap.domain.singleagent.gridworld.GridWorldVisualizer.CellPainter
dheight - Variable in class burlap.domain.singleagent.gridworld.GridWorldVisualizer.LocationPainter
dheight - Variable in class burlap.domain.singleagent.gridworld.GridWorldVisualizer.MapPainter
dheight - Variable in class burlap.domain.singleagent.gridworld.macro.MacroCellVisualizer.MacroCellRewardWeightPainter
DifferentiableDP - Class in burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners: A class for performing dynamic programming with a differentiable value backup operator.
DifferentiableDP() - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableDP
DifferentiableRF - Interface in burlap.behavior.singleagent.learnfromdemo.mlirl.support: An interface for defining differentiable reward functions.
DifferentiableSparseSampling - Class in burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners: A Differentiable finite horizon valueFunction that can also use sparse sampling over the transition dynamics when the transition function is very large or infinite.
DifferentiableSparseSampling(Domain, DifferentiableRF, TerminalFunction, double, HashableStateFactory, int, int, double) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling: Initializes.
DifferentiableSparseSampling.DiffStateNode - Class in burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners: A class for value differentiable state nodes.
DifferentiableSparseSampling.DiffStateNode(HashableState, int) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling.DiffStateNode
DifferentiableSparseSampling.QAndQGradient - Class in burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners: A tuple for storing Q-values and their gradients.
DifferentiableSparseSampling.QAndQGradient(List<QValue>, List<QGradientTuple>) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling.QAndQGradient
DifferentiableSparseSampling.QAndQGradient(int) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling.QAndQGradient
DifferentiableSparseSampling.VAndVGradient - Class in burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners: A tuple for storing a state value and its gradient.
DifferentiableSparseSampling.VAndVGradient(double, FunctionGradient) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling.VAndVGradient
DifferentiableStateActionValue - Interface in burlap.behavior.singleagent.vfa: An extension of ParametricFunction.ParametricStateActionFunction that is differentiable.
DifferentiableStateValue - Interface in burlap.behavior.singleagent.vfa: An extension of ParametricFunction.ParametricStateFunction that that is differentiable.
DifferentiableVI - Class in burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners: Performs Differentiable Value Iteration using the Boltzmann backup operator and a DifferentiableRF.
DifferentiableVI(Domain, DifferentiableRF, TerminalFunction, double, double, HashableStateFactory, double, int) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableVI: Initializes the valueFunction.
DifferentiableVInit - Interface in burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit: An interface for value function initialization that is differentiable with respect to some parameters.
DiffVFRF - Class in burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit: A differentiable reward function wrapper for use with MLIRL when the reward function is known, but the value function initialization for leaf nodes is to be learned.
DiffVFRF(RewardFunction, DifferentiableVInit) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.DiffVFRF
diffVInit - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.DiffVFRF
dim - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF: The dimension of this reward function
dim - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateDifferentiableRF: The dimension of this reward function
dim - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.DiffVFRF
dim - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit
dim - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearStateDiffVF
dim - Variable in class burlap.behavior.singleagent.vfa.common.FVToFeatureDatabase: The dimensionality of the state features produced by the feature vector generator
dimensionMask - Variable in class burlap.behavior.singleagent.vfa.cmac.FVTiling: The dimensions on which this tiling are dependent
dir - Variable in class burlap.domain.singleagent.blockdude.BlockDude.MoveAction
directEpisodes - Variable in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer
directGames - Variable in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer
direction - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.ArrowActionGlyph: The direction of the arrow.0: north; 1: south; 2: east; 3:west
directionProbs - Variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain.MovementAction: Probabilities of the actual direction the agent will go
directionProbs - Variable in class burlap.domain.singleagent.gridworld.GridWorldDomain.MovementAction: Probabilities of the actual direction the agent will go
directionProbs - Variable in class burlap.tutorials.bd.ExampleGridWorld.Movement
DirectOptionTerminateMapper - Interface in burlap.behavior.singleagent.options.support: If an option deterministically terminates with a fixed number of steps, then it may be useful for an option to immediately transition from the state in which the option was initiated to the end terminal state, rather than having to simulate each step of execution.
DISCATT - Static variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain: The base name of a discrete attribute.
discount - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface: The RLGlue specified discount factor
discount - Variable in class burlap.behavior.singleagent.options.support.EnvironmentOptionOutcome: The discount factor to apply to the value of time steps immediately following the application of an Option.
discount - Variable in class burlap.behavior.singleagent.shaping.potential.PotentialShapedRF: The discount factor the MDP (required for this to shaping to preserve policy optimality)
discount - Variable in class burlap.behavior.stochasticgames.agents.madp.MADPPlannerFactory.MAVIPlannerFactory: The discount factor in [0, 1]
discount - Variable in class burlap.behavior.stochasticgames.agents.maql.MAQLFactory
discount - Variable in class burlap.behavior.stochasticgames.agents.maql.MultiAgentQLearning: The discount factor
discount - Variable in class burlap.behavior.stochasticgames.agents.naiveq.history.SGQWActionHistoryFactory: The discount rate the Q-learning algorithm will use
discount - Variable in class burlap.behavior.stochasticgames.agents.naiveq.SGNaiveQFactory: The discount rate the Q-learning algorithm will use
discount - Variable in class burlap.behavior.stochasticgames.agents.naiveq.SGNaiveQLAgent: The discount factor
discount - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.MADynamicProgramming: The discount factor in [0, 1]
discount - Variable in class burlap.oomdp.singleagent.interfaces.rlglue.RLGlueEnvironment: The discount factor of the task
discountFactor - Variable in class burlap.behavior.singleagent.options.Option: discount factor of the MDP in which this option will be applied
DISCRETECLASS - Static variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain: The object class name for the object that holds the RLGlue discrete attributes
DiscreteValue - Class in burlap.oomdp.core.values: A discrete value subclass in which discrete values are stored as int values.
DiscreteValue(Attribute) - Constructor for class burlap.oomdp.core.values.DiscreteValue: Initializes this value to be an assignment for Attribute attribute.
DiscreteValue(DiscreteValue) - Constructor for class burlap.oomdp.core.values.DiscreteValue: Initializes this value as a copy from the source Value object v.
DiscreteValue(Attribute, int) - Constructor for class burlap.oomdp.core.values.DiscreteValue
DiscretizingHashableStateFactory - Class in burlap.oomdp.statehashing: A factory for producing HashableState objects that computes hash codes and test for state equality after discretizing any real values.
DiscretizingHashableStateFactory(double) - Constructor for class burlap.oomdp.statehashing.DiscretizingHashableStateFactory: Initializes with object identifier independence and no hash code caching.
DiscretizingHashableStateFactory(boolean, double) - Constructor for class burlap.oomdp.statehashing.DiscretizingHashableStateFactory: Initializes with non hash code caching
DiscretizingHashableStateFactory(boolean, boolean, double) - Constructor for class burlap.oomdp.statehashing.DiscretizingHashableStateFactory: Initializes.
DiscretizingMaskedHashableStateFactory - Class in burlap.oomdp.statehashing: A class for producing HashableState objects that computes hash codes and tests for State equality by discretizing real-valued attributes and by masking (ignoring) either Attributes and/or ObjectClasses.
DiscretizingMaskedHashableStateFactory(double) - Constructor for class burlap.oomdp.statehashing.DiscretizingMaskedHashableStateFactory: Initializes with object identifier independence, no hash code caching and object class or attribute masks.
DiscretizingMaskedHashableStateFactory(boolean, double) - Constructor for class burlap.oomdp.statehashing.DiscretizingMaskedHashableStateFactory: Initializes with non hash code caching and object class or attribute masks
DiscretizingMaskedHashableStateFactory(boolean, boolean, double) - Constructor for class burlap.oomdp.statehashing.DiscretizingMaskedHashableStateFactory: Initializes.
DiscretizingMaskedHashableStateFactory(boolean, boolean, double, boolean, String...) - Constructor for class burlap.oomdp.statehashing.DiscretizingMaskedHashableStateFactory: Initializes with a specified attribute or object class mask.
discVal - Variable in class burlap.oomdp.core.values.DiscreteValue: The discrete value stored as an integer.
discValues - Variable in class burlap.oomdp.core.Attribute: The possible categorical values for a discrete or boolean attribute.
discValuesHash - Variable in class burlap.oomdp.core.Attribute: maps categorical names of discrete values to int values
displayPlots - Variable in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter: Whether the performance should be visually plotted (by default they will)
displayPlots - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter: Whether the performance should be visually plotted (by default they will)
distance(State, State) - Method in interface burlap.behavior.singleagent.vfa.rbf.DistanceMetric
distance(double[], double[]) - Method in interface burlap.behavior.singleagent.vfa.rbf.FVDistanceMetric: Returns the distance between state s0 and state s1.
distance(State, State) - Method in class burlap.behavior.singleagent.vfa.rbf.metrics.EuclideanDistance
distance(double[], double[]) - Method in class burlap.behavior.singleagent.vfa.rbf.metrics.FVEuclideanDistance
DistanceMetric - Interface in burlap.behavior.singleagent.vfa.rbf: An interface for defining distant metrics between OO-MDP State objects.
domain - Variable in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer
domain - Variable in class burlap.behavior.singleagent.auxiliary.StateEnumerator: The domain whose states will be enumerated
domain - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface: The BURLAP Domain specifying the RLGlue problem representation and action space.
domain - Variable in class burlap.behavior.singleagent.learnfromdemo.IRLRequest: The domain in which IRL is to be performed
domain - Variable in class burlap.behavior.singleagent.learnfromdemo.RewardValueProjection
domain - Variable in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor: The domain in which this agent will act
domain - Variable in class burlap.behavior.singleagent.MDPSolver: The domain to solve
domain - Variable in class burlap.behavior.stochasticgames.agents.madp.MADPPlanAgentFactory
domain - Variable in class burlap.behavior.stochasticgames.agents.madp.MADPPlannerFactory.MAVIPlannerFactory: The domain in which planning is to be performed
domain - Variable in class burlap.behavior.stochasticgames.agents.maql.MAQLFactory
domain - Variable in class burlap.behavior.stochasticgames.agents.naiveq.history.ParameterNaiveActionIdMap: The domain for which the action values should be created.
domain - Variable in class burlap.behavior.stochasticgames.agents.naiveq.history.SGQWActionHistoryFactory: The stochastic games domain in which the agent will act
domain - Variable in class burlap.behavior.stochasticgames.agents.naiveq.SGNaiveQFactory: The stochastic games domain in which the agent will act
domain - Variable in class burlap.behavior.stochasticgames.agents.SetStrategySGAgent.SetStrategyAgentFactory: The domain in which the agent will play
domain - Variable in class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.GrimTrigger.GrimTriggerAgentFactory: The domain in which the agent will play
domain - Variable in class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.TitForTat.TitForTatAgentFactory: The domain in which the agent will play
domain - Variable in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer
domain - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.MADynamicProgramming: The domain in which planning is to be performed
domain - Variable in class burlap.domain.singleagent.gridworld.SerializableGridWorldStateFactory.GridWorldStateParser
domain - Variable in class burlap.oomdp.core.Attribute: domain that holds this attribute
Domain - Class in burlap.oomdp.core: This is the base class for a problem domain.
Domain() - Constructor for class burlap.oomdp.core.Domain: Initializes the data structures for indexing the object classes, attributes, and propositional functions
domain - Variable in class burlap.oomdp.core.ObjectClass
domain - Variable in class burlap.oomdp.core.PropositionalFunction
domain - Variable in class burlap.oomdp.legacy.StateJSONParser: The domain holding the object class definitions that states represented in JSON strings will be converted to.
domain - Variable in class burlap.oomdp.legacy.StateYAMLParser: The domain holding the object class definitions that states represented in yaml strings will be converted to.
domain - Variable in class burlap.oomdp.singleagent.Action: The domain with which this action is associated
domain - Variable in class burlap.oomdp.singleagent.common.VisualActionObserver: The domain this visualizer is rendering
domain - Variable in class burlap.oomdp.singleagent.environment.SimulatedEnvironment: The domain of this environment
domain - Variable in class burlap.oomdp.singleagent.explorer.VisualExplorer
domain - Variable in class burlap.oomdp.singleagent.interfaces.rlglue.RLGlueEnvironment: The BURLAP domain
domain - Variable in class burlap.oomdp.singleagent.pomdp.beliefstate.tabular.TabularBeliefState: The POMDP domain with which this belief state is associated.
domain - Variable in class burlap.oomdp.singleagent.pomdp.ObservationFunction: The POMDP domain with which this ObservationFunction is associated.
domain - Variable in class burlap.oomdp.stochasticgames.agentactions.SGAgentAction
domain - Variable in class burlap.oomdp.stochasticgames.common.VisualWorldObserver: The domain this visualizer is rendering
domain - Variable in class burlap.oomdp.stochasticgames.explorers.SGVisualExplorer
domain - Variable in class burlap.oomdp.stochasticgames.SGAgent
domain - Variable in class burlap.oomdp.stochasticgames.tournament.common.ConstantWorldGenerator
domain - Variable in class burlap.oomdp.stochasticgames.World
domain - Variable in class burlap.shell.BurlapShell
domain - Variable in class burlap.shell.command.env.AddStateObjectCommand
domain - Variable in class burlap.shell.command.env.ExecuteActionCommand
domain - Variable in class burlap.shell.command.world.AddStateObjectSGCommand
DomainGenerator - Interface in burlap.oomdp.auxiliary: This class provides a simple interface for constructing domains, but it is not required to create domains.
DomainMappedPolicy - Class in burlap.behavior.policy: If you have a policy defined for one domain, and want to map it to use actions in another domain that have the same name, you can use this policy to perform the mapping.
DomainMappedPolicy(Domain, Policy) - Constructor for class burlap.behavior.policy.DomainMappedPolicy: Initializes.
domainSet - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface: A variable for synchronized checking if the domain has been set.
dot(double[], double[]) - Static method in class burlap.behavior.stochasticgames.solvers.GeneralBimatrixSolverTools: Returns the dot product of two vectors
doubleArray - Variable in class burlap.oomdp.core.values.DoubleArrayValue
DoubleArrayValue - Class in burlap.oomdp.core.values: This class implements an attribute value that is defined with a double array.
DoubleArrayValue(Attribute) - Constructor for class burlap.oomdp.core.values.DoubleArrayValue
DoubleArrayValue(DoubleArrayValue) - Constructor for class burlap.oomdp.core.values.DoubleArrayValue
DoubleArrayValue(Attribute, double[]) - Constructor for class burlap.oomdp.core.values.DoubleArrayValue
doubleEpislon - Static variable in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.BimatrixEquilibriumSolver: The epislon difference used to test for double equality.
doubleEquality(double, double) - Static method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.BimatrixEquilibriumSolver: Returns true if |a - b| < BimatrixEquilibriumSolver.doubleEpislon; false otherwise.
dp - Variable in class burlap.behavior.singleagent.planning.deterministic.DDPlannerPolicy
dp - Variable in class burlap.behavior.singleagent.planning.deterministic.SDPlannerPolicy
DPPInit(Domain, RewardFunction, TerminalFunction, double, HashableStateFactory) - Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming: Common init method for DynamicProgramming instances.
DPrint - Class in burlap.debugtools: A class for managing debug print statements.
DPrint() - Constructor for class burlap.debugtools.DPrint
dwidth - Variable in class burlap.domain.singleagent.gridworld.GridWorldVisualizer.CellPainter
dwidth - Variable in class burlap.domain.singleagent.gridworld.GridWorldVisualizer.LocationPainter
dwidth - Variable in class burlap.domain.singleagent.gridworld.GridWorldVisualizer.MapPainter
dwidth - Variable in class burlap.domain.singleagent.gridworld.macro.MacroCellVisualizer.MacroCellRewardWeightPainter
DynamicProgramming - Class in burlap.behavior.singleagent.planning.stochastic: A class for performing dynamic programming operations: updating the value function using a Bellman backup.
DynamicProgramming() - Constructor for class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming
DynamicProgramming.StaticVFPlanner - Class in burlap.behavior.singleagent.planning.stochastic: This class is used to store tabular value function values that can be manipulated with the DynamicProgramming methods.
DynamicProgramming.StaticVFPlanner(Domain, RewardFunction, double, HashableStateFactory, List<Action>, Map<HashableState, Double>) - Constructor for class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming.StaticVFPlanner: Initializes.
DynamicWeightedAStar - Class in burlap.behavior.singleagent.planning.deterministic.informed.astar: Dynamic Weighted A* [1] uses a dynamic heuristic weight that is based on depth of the current search tree and based on an expected depth of the search.
DynamicWeightedAStar(Domain, RewardFunction, StateConditionTest, HashableStateFactory, Heuristic, double, int) - Constructor for class burlap.behavior.singleagent.planning.deterministic.informed.astar.DynamicWeightedAStar: Initializes the valueFunction.

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