- v - Variable in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda.StateEligibilityTrace
-
The value associated with the state.
- v - Variable in class burlap.behavior.singleagent.planning.vfa.fittedvi.SupervisedVFA.SupervisedVFAInstance
-
The state's associated value
- v(K) - Method in class burlap.datastructures.HashedAggregator
-
The current value associated with key ind.
- val - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgentShell.MutableInt
-
- val - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgentShell.MutableState
-
- val - Variable in class burlap.behavior.stochasticgame.agents.interfacing.singleagent.SingleAgentInterface.MutableState
-
- value(State) - Method in class burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit
-
- value(State) - Method in class burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.diffvinit.LinearStateDiffVF
-
- value(State) - Method in class burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.diffvinit.VanillaDiffVinit
-
- value(State) - Method in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda
-
- value(State) - Method in interface burlap.behavior.singleagent.planning.ValueFunction
-
Returns the value function evaluation of the given state.
- value(State) - Method in class burlap.behavior.singleagent.planning.ValueFunctionPlanner
-
Returns the value function evaluation of the given state.
- value(StateHashTuple) - Method in class burlap.behavior.singleagent.planning.ValueFunctionPlanner
-
Returns the value function evaluation of the given hashed state.
- value(State) - Method in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI
-
- value(State) - Method in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI.VFAVInit
-
- value(State) - Method in class burlap.behavior.singleagent.planning.vfa.fittedvi.WekaVFATrainer.WekaVFA
-
- value - Variable in class burlap.behavior.singleagent.ValueFunctionInitialization.ConstantValueFunctionInitialization
-
The constant value to return for all initializations.
- value(State) - Method in class burlap.behavior.singleagent.ValueFunctionInitialization.ConstantValueFunctionInitialization
-
- value - Variable in class burlap.behavior.singleagent.vfa.StateFeature
-
The value of the state feature
- Value - Class in burlap.oomdp.core
-
An abstract class for representing a value assignment for an attribute.
- Value(Attribute) - Constructor for class burlap.oomdp.core.Value
-
Initializes this value to be an assignment for Attribute attribute.
- Value(Value) - Constructor for class burlap.oomdp.core.Value
-
Initializes this value as a copy from the source Value object v.
- valueConstructor() - Method in class burlap.oomdp.core.Attribute
-
Returns a Value object compatible with this Attributes type (i.e., discrete or real).
- valueEquals(ObjectInstance) - Method in class burlap.oomdp.core.ObjectInstance
-
Returns true if the value assignments in this object instance are the same as they are in the target object instance.
- ValueFunction - Interface in burlap.behavior.singleagent.planning
-
An interface for algorithms that can return the value for states.
- valueFunction - Variable in class burlap.behavior.singleagent.planning.ValueFunctionPlanner
-
A map for storing the current value function estimate for each state.
- valueFunction - Variable in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI
-
The current value function approximation
- valueFunction - Variable in class burlap.behavior.stochasticgame.mavaluefunction.MAValueFunctionPlanner.BackupBasedQSource
-
The tabular value function
- ValueFunctionApproximation - Interface in burlap.behavior.singleagent.vfa
-
A general interface for defining state value or Q-value function approximation and interacting with it
via gradient descent methods.
- ValueFunctionInitialization - Interface in burlap.behavior.singleagent
-
This interface may be used by planning and learning algorithms that require an initialization value for the Q-value function or the value function.
- ValueFunctionInitialization.ConstantValueFunctionInitialization - Class in burlap.behavior.singleagent
-
- ValueFunctionInitialization.ConstantValueFunctionInitialization() - Constructor for class burlap.behavior.singleagent.ValueFunctionInitialization.ConstantValueFunctionInitialization
-
Will cause this object to return 0 for all initialization values.
- ValueFunctionInitialization.ConstantValueFunctionInitialization(double) - Constructor for class burlap.behavior.singleagent.ValueFunctionInitialization.ConstantValueFunctionInitialization
-
Will cause this object to return value for all initialization values.
- ValueFunctionPlanner - Class in burlap.behavior.singleagent.planning
-
This class extends the OOMDP planner to define a class of planners that compute state value functions
using the tabular Bellman update, such as ValueIteraiton.
- ValueFunctionPlanner() - Constructor for class burlap.behavior.singleagent.planning.ValueFunctionPlanner
-
- ValueFunctionPlanner.StaticVFPlanner - Class in burlap.behavior.singleagent.planning
-
This class is used to store tabular value function values that can be manipulated with the
ValueFunctionPlanner
methods.
- ValueFunctionPlanner.StaticVFPlanner(Domain, RewardFunction, double, StateHashFactory, List<Action>, Map<StateHashTuple, Double>) - Constructor for class burlap.behavior.singleagent.planning.ValueFunctionPlanner.StaticVFPlanner
-
Initializes.
- ValueFunctionRenderLayer - Class in burlap.behavior.singleagent.auxiliary.valuefunctionvis
-
Used to visualize the value function for a collection of states.
- ValueFunctionRenderLayer(Collection<State>, StateValuePainter, QComputablePlanner) - Constructor for class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionRenderLayer
-
Initializes the visualizer.
- valueFunctionTrainer - Variable in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI
-
The
SupervisedVFA instance used to train the value function on each iteration.
- ValueFunctionVisualizerGUI - Class in burlap.behavior.singleagent.auxiliary.valuefunctionvis
-
Provides a GUI for a value function and policy visualizer.
- ValueFunctionVisualizerGUI(List<State>, StateValuePainter, QComputablePlanner) - Constructor for class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionVisualizerGUI
-
Initializes the visualizer GUI.
- valueGradient - Variable in class burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.DifferentiableVFPlanner
-
The value function gradient for each state.
- valueHasBeenSet() - Method in class burlap.oomdp.core.Value
-
Returns whether the value has been set to a meaningful value.
- valueHasBeenSet() - Method in class burlap.oomdp.core.values.DiscreteValue
-
- valueHasBeenSet() - Method in class burlap.oomdp.core.values.DoubleArrayValue
-
- valueHasBeenSet() - Method in class burlap.oomdp.core.values.IntArrayValue
-
- valueHasBeenSet() - Method in class burlap.oomdp.core.values.IntValue
-
- valueHasBeenSet() - Method in class burlap.oomdp.core.values.MultiTargetRelationalValue
-
- valueHasBeenSet() - Method in class burlap.oomdp.core.values.RealValue
-
- valueHasBeenSet() - Method in class burlap.oomdp.core.values.RelationalValue
-
- valueHasBeenSet() - Method in class burlap.oomdp.core.values.StringValue
-
- valueInitializer - Variable in class burlap.behavior.singleagent.planning.ValueFunctionPlanner
-
The value function initialization to use; defaulted to an initialization of 0 everywhere.
- ValueIteration - Class in burlap.behavior.singleagent.planning.stochastic.valueiteration
-
An implementation of asynchronous value iteration.
- ValueIteration(Domain, RewardFunction, TerminalFunction, double, StateHashFactory, double, int) - Constructor for class burlap.behavior.singleagent.planning.stochastic.valueiteration.ValueIteration
-
Initializers the planner.
- valueOf(String) - Static method in enum burlap.behavior.singleagent.auxiliary.performance.PerformanceMetric
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum burlap.behavior.singleagent.auxiliary.performance.TrialMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.PolicyGlyphPainter2D.PolicyGlyphRenderStyle
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP.StateSelectionMode
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum burlap.behavior.singleagent.vfa.cmac.CMACFeatureDatabase.TilingArrangement
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum burlap.behavior.stochasticgame.solvers.CorrelatedEquilibriumSolver.CorrelatedEquilibriumObjective
-
Returns the enum constant of this type with the specified name.
- valueOf(String) - Static method in enum burlap.oomdp.core.Attribute.AttributeType
-
Returns the enum constant of this type with the specified name.
- values() - Static method in enum burlap.behavior.singleagent.auxiliary.performance.PerformanceMetric
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum burlap.behavior.singleagent.auxiliary.performance.TrialMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.PolicyGlyphPainter2D.PolicyGlyphRenderStyle
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP.StateSelectionMode
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum burlap.behavior.singleagent.vfa.cmac.CMACFeatureDatabase.TilingArrangement
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum burlap.behavior.stochasticgame.solvers.CorrelatedEquilibriumSolver.CorrelatedEquilibriumObjective
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values() - Static method in enum burlap.oomdp.core.Attribute.AttributeType
-
Returns an array containing the constants of this enum type, in
the order they are declared.
- values - Variable in class burlap.oomdp.core.ObjectInstance
-
- valueSet() - Method in class burlap.datastructures.HashedAggregator
-
The set of values stored.
- VanillaDiffVinit - Class in burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.diffvinit
-
A class for the default condition when a value function initialization returns an unparameterized value
for each state, but must be differentiable
with respect to the reward function parameters for use with a differentiable finite horizon planner.
- VanillaDiffVinit(ValueFunctionInitialization, DifferentiableRF) - Constructor for class burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.diffvinit.VanillaDiffVinit
-
Initializes.
- vectorGenerator - Variable in class burlap.behavior.singleagent.vfa.rbf.metrics.EuclideanDistance
-
- vertical1DEastWall(int, int, int) - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain
-
Creates a sequence of 1D east walls spanning the specified start and end y coordinates.
- verticalWall(int, int, int) - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain
-
Creates a sequence of complete cell walls spanning the specified start and end y coordinates
- vfa - Variable in class burlap.behavior.singleagent.learning.lspi.LSPI
-
The object that performs value function approximation given the weights that are estimated
- vfa - Variable in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam
-
The object that performs value function approximation
- vfLayer - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionVisualizerGUI
-
The value function renderer
- VFPInit(Domain, RewardFunction, TerminalFunction, double, StateHashFactory) - Method in class burlap.behavior.singleagent.planning.ValueFunctionPlanner
-
Common init method for ValueFunction Planners.
- vi - Variable in class burlap.behavior.singleagent.learning.modellearning.modelplanners.VIModelPlanner
-
The value iteration planning object
- VIModelPlanner - Class in burlap.behavior.singleagent.learning.modellearning.modelplanners
-
A model learning interface wrapper to VI that causes VI to be performed every time the model is updated or whenever a novel state is seen
that was not previously expected to be reachable.
- VIModelPlanner(Domain, RewardFunction, TerminalFunction, double, StateHashFactory, double, int) - Constructor for class burlap.behavior.singleagent.learning.modellearning.modelplanners.VIModelPlanner
-
Initializes
- VIModelPlanner.VIModelPlannerGenerator - Class in burlap.behavior.singleagent.learning.modellearning.modelplanners
-
- VIModelPlanner.VIModelPlannerGenerator(StateHashFactory, double, int) - Constructor for class burlap.behavior.singleagent.learning.modellearning.modelplanners.VIModelPlanner.VIModelPlannerGenerator
-
- vIndex - Variable in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda
-
The state value function.
- vinit - Variable in class burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.DifferentiableSparseSampling
-
The state value used for leaf nodes; default is zero.
- vinit - Variable in class burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.diffvinit.VanillaDiffVinit
-
The source value function initialization.
- vinit - Variable in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling
-
The state value used for leaf nodes; default is zero.
- vinit - Variable in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI
-
The initial value function to use
- vInit - Variable in class burlap.behavior.stochasticgame.mavaluefunction.MAValueFunctionPlanner
-
The Q-value initialization function to use.
- vinitDim - Variable in class burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit
-
The dimensionality of the value function initialization parameters
- vInitFunction - Variable in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda
-
Defines how the value function is initialized for unvisited states
- vinitFvGen - Variable in class burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit
-
The state feature vector generator.
- VisualActionObserver - Class in burlap.oomdp.singleagent.common
-
This class enables the live rendering of action calls, updating the visualizer to show the resulting state of an action call.
- VisualActionObserver(Domain, Visualizer) - Constructor for class burlap.oomdp.singleagent.common.VisualActionObserver
-
Initializes with a visualizer size of 800x800
- VisualActionObserver(Domain, Visualizer, int, int) - Constructor for class burlap.oomdp.singleagent.common.VisualActionObserver
-
Initializes with a visualizer
- VisualExplorer - Class in burlap.oomdp.singleagent.explorer
-
This class allows you act as the agent by choosing actions to take in specific states.
- VisualExplorer(Domain, Visualizer, State) - Constructor for class burlap.oomdp.singleagent.explorer.VisualExplorer
-
Initializes the visual explorer with the domain to explorer, the visualizer to use, and the base state from which to explore.
- VisualExplorer(Domain, Visualizer, State, int, int) - Constructor for class burlap.oomdp.singleagent.explorer.VisualExplorer
-
Initializes the visual explorer with the domain to explorer, the visualizer to use, the base state from which to explore,
and the dimensions of the visualizer.
- VisualExplorer(Domain, Visualizer, StateGenerator, int, int) - Constructor for class burlap.oomdp.singleagent.explorer.VisualExplorer
-
Initializes the visual explorer with the domain to explorer, the visualizer to use, and an initial state generator from which to explore,
and the dimensions of the visualizer.
- VisualExplorer.SaveEpisodeAction - Class in burlap.oomdp.singleagent.explorer
-
Class for receiving key presses from a
VisualExplorer
that handles it as ending episode recoding and saving all recorded episodes to disk.
- VisualExplorer.SaveEpisodeAction(String, StateParser) - Constructor for class burlap.oomdp.singleagent.explorer.VisualExplorer.SaveEpisodeAction
-
Initializes
- visualizer - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionVisualizerGUI
-
The multi-layer render layer canvas
- Visualizer - Class in burlap.oomdp.visualizer
-
- Visualizer() - Constructor for class burlap.oomdp.visualizer.Visualizer
-
- Visualizer(StateRenderLayer) - Constructor for class burlap.oomdp.visualizer.Visualizer
-
- VisualWorldObserver - Class in burlap.oomdp.stochasticgames.common
-
A
WorldObserver that visualizes each transition with a fixed refresh delay between when the transition is rendered and when control
is returned to the client.
- VisualWorldObserver(SGDomain, Visualizer) - Constructor for class burlap.oomdp.stochasticgames.common.VisualWorldObserver
-
Iniitalizes for the given domain and visualizer.
- VisualWorldObserver(SGDomain, Visualizer, int, int) - Constructor for class burlap.oomdp.stochasticgames.common.VisualWorldObserver
-
Initializes
- vmax - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.LLPhysicsParams
-
The maximum speed in any velocity component that the agent can move
- vmax - Variable in class burlap.domain.singleagent.mountaincar.MountainCar.MCPhysicsParams
-
The maximum velocity of the agent
- vmin - Variable in class burlap.domain.singleagent.mountaincar.MountainCar.MCPhysicsParams
-
The minimum velocity of the agent
- vsFontColor - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.StateValuePainter2D
-
The font color of the value strings
- vsFontSize - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.StateValuePainter2D
-
The font point size of the value string
- vsOffsetFromLeft - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.StateValuePainter2D
-
A value between 0 and 1 indicating how far from the left of a value cell the value string should start being rendered.
- vsOffsetFromTop - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.StateValuePainter2D
-
A value between 0 and 1 indicating how from from the top of a value cell the value string should start be rendered.
- vsPrecision - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.StateValuePainter2D
-
The precision (number of decimals) shown in the value string.
- vTIndex - Variable in class burlap.behavior.singleagent.learning.actorcritic.critics.TimeIndexedTDLambda
-
The time/depth indexed value function
- VXATTNAME - Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain
-
Constant for the name of the x velocity attribute.
- VYATTNAME - Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain
-
Constant for the name of the y velocity attribute.