 FactoredModel  Class in burlap.mdp.singleagent.model

 FactoredModel()  Constructor for class burlap.mdp.singleagent.model.FactoredModel

 FactoredModel(SampleStateModel, RewardFunction, TerminalFunction)  Constructor for class burlap.mdp.singleagent.model.FactoredModel

Initializes
 featureGenerator  Variable in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest

The state feature generator that turns a state into a feature vector on which the reward function is assumed to be modeled
 features(State)  Method in class burlap.behavior.functionapproximation.dense.ConcatenatedObjectFeatures

 features(State, Action)  Method in class burlap.behavior.functionapproximation.dense.DenseCrossProductFeatures

 features(State, Action)  Method in interface burlap.behavior.functionapproximation.dense.DenseStateActionFeatures

Returns a feature vector represented as a double array for a given input stateaction pair.
 features  Variable in class burlap.behavior.functionapproximation.dense.DenseStateActionLinearVFA

 features(State)  Method in interface burlap.behavior.functionapproximation.dense.DenseStateFeatures

Returns a feature vector represented as a double array for a given input state.
 features(State)  Method in class burlap.behavior.functionapproximation.dense.fourier.FourierBasis

 features(State)  Method in class burlap.behavior.functionapproximation.dense.NormalizedVariableFeatures

 features(State)  Method in class burlap.behavior.functionapproximation.dense.NumericVariableFeatures

 features(State)  Method in class burlap.behavior.functionapproximation.dense.PFFeatures

 features(State)  Method in class burlap.behavior.functionapproximation.dense.rbf.RBFFeatures

 features(State)  Method in class burlap.behavior.functionapproximation.dense.SparseToDenseFeatures

 features(State, Action)  Method in class burlap.behavior.functionapproximation.sparse.SparseCrossProductFeatures

 features(State, Action)  Method in interface burlap.behavior.functionapproximation.sparse.SparseStateActionFeatures

Returns nonzero stateaction features for a given state and action.
 features(State)  Method in interface burlap.behavior.functionapproximation.sparse.SparseStateFeatures

Returns nonzero state features for a given state.
 features(State)  Method in class burlap.behavior.functionapproximation.sparse.tilecoding.TileCodingFeatures

 featuresAreForNextState  Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateDifferentiableRF

Whether features are based on the next state or previous state.
 FeaturesMap()  Constructor for class burlap.behavior.functionapproximation.sparse.SparseCrossProductFeatures.FeaturesMap

 FeaturesMap(Map<Integer, Integer>)  Constructor for class burlap.behavior.functionapproximation.sparse.SparseCrossProductFeatures.FeaturesMap

 featureVectorGenerator  Variable in class burlap.behavior.functionapproximation.sparse.tilecoding.TileCodingFeatures

The generator that turns OOMDP state objects into state feature vectors.
 featureWiseMap  Variable in class burlap.behavior.learningrate.ExponentialDecayLR

The state feature dependent or state featureaction dependent learning rates
 featureWiseMap  Variable in class burlap.behavior.learningrate.SoftTimeInverseDecayLR

The state feature dependent or state featureaction dependent learning rate time indicies
 fillColor  Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.ArrowActionGlyph

The color of the arrow
 findPF(List<PropositionalFunction>, String)  Static method in class burlap.mdp.core.oo.propositional.PropositionalFunction

 findReachableStatesAndEnumerate(State)  Method in class burlap.behavior.singleagent.auxiliary.StateEnumerator

Finds all states that are reachable from an input state and enumerates them
 finished  Variable in class burlap.shell.command.env.EpisodeRecordingCommands

 fireAllAverages()  Method in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.AgentDatasets

Causes all average trial data series to tell their plots that they've updated and need to be refreshed
 fireAllAverages()  Method in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.AgentDatasets

Causes all average trial data series to tell their plots that they've updated and need to be refreshed
 FittedVI  Class in burlap.behavior.singleagent.planning.vfa.fittedvi

A class for performing Fitted Value Iteration [1].
 FittedVI(SADomain, double, SupervisedVFA, int, double, int)  Constructor for class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI

Initializes.
 FittedVI(SADomain, double, SupervisedVFA, List<State>, int, double, int)  Constructor for class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI

Initializes.
 FittedVI.VFAVInit  Class in burlap.behavior.singleagent.planning.vfa.fittedvi

A class for
QFunction
that always points to the outer class's current value function approximation.
 FlatStateGridder  Class in burlap.behavior.singleagent.auxiliary.gridset

This class is used to generate a set of continuous states that are spaced over grid points.
 FlatStateGridder()  Constructor for class burlap.behavior.singleagent.auxiliary.gridset.FlatStateGridder

 flatStateKeys(OOState)  Static method in class burlap.mdp.core.oo.state.OOStateUtilities

Returns all objectvariable_key keys.
 flatStatesEqual(State, State)  Method in class burlap.statehashing.simple.IDSimpleHashableState

 flatStatesEqual(State, State)  Method in class burlap.statehashing.simple.IISimpleHashableState

 FLimtedDFS(PrioritizedSearchNode, double, double)  Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.IDAStar

Recursive method to perform A* up to a fscore depth
 floorSegment(int[][], int, int, int)  Static method in class burlap.domain.singleagent.blockdude.BlockDudeLevelConstructor

 followAndRecordPolicy(Policy, Environment, Episode)  Static method in class burlap.behavior.policy.PolicyUtils

Follows this policy for one time step in the provided
Environment
and
records the interaction in the provided
Episode
object.
 forceMDPPlanningFromAllStates()  Method in class burlap.behavior.singleagent.pomdp.qmdp.QMDP

 forgetPreviousPlanResults  Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling

Whether previous planning results should be forgotten or reused; default is reused (false).
 forgetPreviousPlanResults  Variable in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling

Whether previous planning results should be forgetten or reused; default is reused (false).
 forwardMaxProbability  Variable in class burlap.behavior.singleagent.planning.stochastic.valueiteration.PrioritizedSweeping.BPTR

The maximum probability tha the back node will transition to the implicitly defined forward state node.
 fouierBasisFunctions  Variable in class burlap.behavior.functionapproximation.dense.fourier.FourierBasisLearningRateWrapper

The Fourier basis functions that are used.
 foundGoal  Variable in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT

 foundGoalOnRollout  Variable in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT

 foundReachableStates  Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableVI

Indicates whether the reachable states has been computed yet.
 foundReachableStates  Variable in class burlap.behavior.singleagent.planning.stochastic.policyiteration.PolicyIteration

Indicates whether the reachable states has been computed yet.
 foundReachableStates  Variable in class burlap.behavior.singleagent.planning.stochastic.valueiteration.ValueIteration

Indicates whether the reachable states has been computed yet.
 FourierBasis  Class in burlap.behavior.functionapproximation.dense.fourier

An implementation of Fourier Basis functions [1].
 FourierBasis(DenseStateFeatures, int)  Constructor for class burlap.behavior.functionapproximation.dense.fourier.FourierBasis

Initializes.
 FourierBasis(DenseStateFeatures, int, int)  Constructor for class burlap.behavior.functionapproximation.dense.fourier.FourierBasis

Initializes.
 FourierBasisLearningRateWrapper  Class in burlap.behavior.functionapproximation.dense.fourier

 FourierBasisLearningRateWrapper(LearningRate, FourierBasis)  Constructor for class burlap.behavior.functionapproximation.dense.fourier.FourierBasisLearningRateWrapper

Initializes.
 freshStart  Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter

Indicates whether this observer has observed any outcomes yet.
 fromInt(int)  Static method in enum burlap.behavior.functionapproximation.sparse.tilecoding.TilingArrangement

 FrostbiteAgent  Class in burlap.domain.singleagent.frostbite.state

 FrostbiteAgent()  Constructor for class burlap.domain.singleagent.frostbite.state.FrostbiteAgent

 FrostbiteAgent(int, int, int)  Constructor for class burlap.domain.singleagent.frostbite.state.FrostbiteAgent

 FrostbiteAgent(int, int)  Constructor for class burlap.domain.singleagent.frostbite.state.FrostbiteAgent

 FrostbiteDomain  Class in burlap.domain.singleagent.frostbite

A simplified version of the classic Atari Frostbite domain.
 FrostbiteDomain()  Constructor for class burlap.domain.singleagent.frostbite.FrostbiteDomain

 FrostbiteDomain.IglooBuiltPF  Class in burlap.domain.singleagent.frostbite

 FrostbiteDomain.InWaterPF  Class in burlap.domain.singleagent.frostbite

 FrostbiteDomain.OnIcePF  Class in burlap.domain.singleagent.frostbite

 FrostbiteDomain.OnPlatformPF  Class in burlap.domain.singleagent.frostbite

 FrostbiteDomain.PlatformActivePF  Class in burlap.domain.singleagent.frostbite

 FrostbiteIgloo  Class in burlap.domain.singleagent.frostbite.state

 FrostbiteIgloo()  Constructor for class burlap.domain.singleagent.frostbite.state.FrostbiteIgloo

 FrostbiteIgloo(int)  Constructor for class burlap.domain.singleagent.frostbite.state.FrostbiteIgloo

 FrostbiteModel  Class in burlap.domain.singleagent.frostbite

 FrostbiteModel(int)  Constructor for class burlap.domain.singleagent.frostbite.FrostbiteModel

 FrostbitePlatform  Class in burlap.domain.singleagent.frostbite.state

 FrostbitePlatform()  Constructor for class burlap.domain.singleagent.frostbite.state.FrostbitePlatform

 FrostbitePlatform(int, int, int, boolean, String)  Constructor for class burlap.domain.singleagent.frostbite.state.FrostbitePlatform

 FrostbiteRF  Class in burlap.domain.singleagent.frostbite

 FrostbiteRF(OODomain)  Constructor for class burlap.domain.singleagent.frostbite.FrostbiteRF

 FrostbiteState  Class in burlap.domain.singleagent.frostbite.state

 FrostbiteState()  Constructor for class burlap.domain.singleagent.frostbite.state.FrostbiteState

 FrostbiteState(int, int)  Constructor for class burlap.domain.singleagent.frostbite.state.FrostbiteState

 FrostbiteState(int, int, int)  Constructor for class burlap.domain.singleagent.frostbite.state.FrostbiteState

 FrostbiteState(FrostbiteAgent, FrostbiteIgloo, List<FrostbitePlatform>)  Constructor for class burlap.domain.singleagent.frostbite.state.FrostbiteState

 FrostbiteState(FrostbiteAgent, FrostbiteIgloo, FrostbitePlatform...)  Constructor for class burlap.domain.singleagent.frostbite.state.FrostbiteState

 FrostbiteTF  Class in burlap.domain.singleagent.frostbite

 FrostbiteTF(OODomain)  Constructor for class burlap.domain.singleagent.frostbite.FrostbiteTF

 FrostbiteVisualizer  Class in burlap.domain.singleagent.frostbite

 FrostbiteVisualizer.AgentPainter  Class in burlap.domain.singleagent.frostbite

 FrostbiteVisualizer.IglooPainter  Class in burlap.domain.singleagent.frostbite

 FrostbiteVisualizer.PlatformPainter  Class in burlap.domain.singleagent.frostbite

 FullJointModel  Interface in burlap.mdp.stochasticgames.model

 FullJointModel.Helper  Class in burlap.mdp.stochasticgames.model

 FullModel  Interface in burlap.mdp.singleagent.model

An interface extension for
SampleModel
that not only can provide samples of transitions, but can enumerate the probability distribution
of the transitions.
 FullModel.Helper  Class in burlap.mdp.singleagent.model

 FullStateModel  Interface in burlap.mdp.singleagent.model.statemodel

An extension of
SampleStateModel
for models that can enumerate the full probability distribution for a state
transition function.
 FullStateModel.Helper  Class in burlap.mdp.singleagent.model.statemodel

 FunctionGradient  Interface in burlap.behavior.functionapproximation

An interface for defining and querying the gradient of a function.
 FunctionGradient.PartialDerivative  Class in burlap.behavior.functionapproximation

A class for storing a partial derivative.
 FunctionGradient.SparseGradient  Class in burlap.behavior.functionapproximation

A sparse
FunctionGradient
that only explicitly stores
the partial derivative for parameters with nonzero partial derivatives.
 fvGen  Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF

The state feature vector generator to use
 fvGen  Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateDifferentiableRF

The state feature vector generator.
 fvgen  Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearStateDiffVF

The state feature vector generator over which the linear function operates
 FVTile(int[])  Constructor for class burlap.behavior.functionapproximation.sparse.tilecoding.Tiling.FVTile
