R-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

R

r - Variable in class burlap.behavior.singleagent.learning.lspi.SARSData.SARS: The resulting reward received
r - Variable in class burlap.oomdp.singleagent.environment.EnvironmentOutcome: The reward received
rand - Variable in class burlap.behavior.policy.EpsilonGreedy
rand - Variable in class burlap.behavior.policy.GreedyQPolicy
rand - Variable in class burlap.behavior.policy.RandomPolicy: The random factory used to randomly select actions.
rand - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL: A random object used for initializing each cluster's RF parameters randomly.
rand - Variable in class burlap.behavior.singleagent.learning.modellearning.Model: Random number generator
rand - Variable in class burlap.behavior.singleagent.options.Option: Random object for following stochastic option policies
rand - Variable in class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.DFS: A random object for random walks
rand - Variable in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT
rand - Variable in class burlap.behavior.singleagent.vfa.cmac.CMACFeatureDatabase: A random object for jittering the tile alignments.
rand - Variable in class burlap.behavior.singleagent.vfa.cmac.FVCMACFeatureDatabase: A random object for jittering the tile alignments.
rand - Variable in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.EquilibriumPlayingSGAgent: Random generator for selecting actions according to the solved solution
rand - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyJointPolicy: A random object used for sampling
rand - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyMaxWellfare: A random object used for sampling
rand - Variable in class burlap.datastructures.BoltzmannDistribution: The random object to use for sampling.
rand - Variable in class burlap.datastructures.StochasticTree: A random object used for sampling.
rand - Variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain.MovementAction: Random object for sampling distribution
rand - Variable in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphAction: Random object for sampling the stochastic graph transitions
rand - Variable in class burlap.domain.singleagent.gridworld.GridWorldDomain.MovementAction: Random object for sampling distribution
RandomFactory - Class in burlap.debugtools: Random factory that allows you to logically group various random generators.
RandomFactory() - Constructor for class burlap.debugtools.RandomFactory: Initializes the map structures
randomizeParameters(DifferentiableRF) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL: Randomizes the parameters for a given DifferentiableRF.
randomizeParameters(double[]) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL: Randomizes parameters in the given vector between -1 and 1.
RandomPolicy - Class in burlap.behavior.policy: A uniform random policy for single agent domains.
RandomPolicy(Domain) - Constructor for class burlap.behavior.policy.RandomPolicy: Initializes by copying all the primitive actions references defined for the domain into an internal action list for this policy.
RandomPolicy(List<Action>) - Constructor for class burlap.behavior.policy.RandomPolicy: Initializes by copying all the actions references defined in the provided list into an internal action list for this policy.
RandomSGAgent - Class in burlap.behavior.stochasticgames.agents: Stochastic games agent that chooses actions uniformly randomly.
RandomSGAgent() - Constructor for class burlap.behavior.stochasticgames.agents.RandomSGAgent
randomSideStateGenerator(PODomain) - Static method in class burlap.domain.singleagent.pomdp.tiger.TigerDomain: Returns a StateGenerator that 50% of the time generates an hidden tiger state with the tiger on the left side, and 50% time on the right.
randomSideStateGenerator(PODomain, double) - Static method in class burlap.domain.singleagent.pomdp.tiger.TigerDomain: Returns a StateGenerator that some of the of the time generates an hidden tiger state with the tiger on the left side, and others on the right.
RandomStartStateGenerator - Class in burlap.oomdp.auxiliary.common: This class will return a random state from a set of states that are reachable from a source seed state.
RandomStartStateGenerator(SADomain, State) - Constructor for class burlap.oomdp.auxiliary.common.RandomStartStateGenerator: Will discover the reachable states from which to randomly select.
RandomStartStateGenerator(SADomain, State, HashableStateFactory) - Constructor for class burlap.oomdp.auxiliary.common.RandomStartStateGenerator: Will discover reachable states from which to randomly select.
RATTNAME - Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain: Constant for the name of the right boundary attribute for rectangular obstacles and landing pads
RBF - Class in burlap.behavior.singleagent.vfa.rbf: An abstract class for defining RBF units.
RBF(State, DistanceMetric) - Constructor for class burlap.behavior.singleagent.vfa.rbf.RBF: Initializes with a center state for this unit and a distance metric to compare input states to it.
RBFFeatureDatabase - Class in burlap.behavior.singleagent.vfa.rbf: A feature database of RBF units that can be used for linear value function approximation.
RBFFeatureDatabase(boolean) - Constructor for class burlap.behavior.singleagent.vfa.rbf.RBFFeatureDatabase: Initializes with an empty list of RBF units.
rbfs - Variable in class burlap.behavior.singleagent.vfa.rbf.FVRBFFeatureDatabase: The list of RBF units in this database
rbfs - Variable in class burlap.behavior.singleagent.vfa.rbf.RBFFeatureDatabase: The list of RBF units in this database
read() - Method in class burlap.oomdp.singleagent.explorer.TextAreaStreams.TextIn
REALATT - Static variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain: The base name of a real (double) attribute.
REALCLASS - Static variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain: The object class name for the object that holds the RLGlue real-valued (double) attributes
realVal - Variable in class burlap.oomdp.core.values.RealValue: The real value stored as a double.
RealValue - Class in burlap.oomdp.core.values: A real-valued value subclass in which real-values are stored as doubles.
RealValue(Attribute) - Constructor for class burlap.oomdp.core.values.RealValue: Initializes this value to be an assignment for Attribute attribute.
RealValue(RealValue) - Constructor for class burlap.oomdp.core.values.RealValue: Initializes this value as a copy from the source Value object v.
RealValue(Attribute, double) - Constructor for class burlap.oomdp.core.values.RealValue
recCommand - Variable in class burlap.shell.command.env.EpisodeRecordingCommands
receiveInput(String) - Method in class burlap.oomdp.singleagent.explorer.TextAreaStreams: Adds data to the InputStream
recomputeReachableStates() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableVI: Calling this method will force the valueFunction to recompute the reachable states when the DifferentiableVI.planFromState(burlap.oomdp.core.states.State) method is called next.
recomputeReachableStates() - Method in class burlap.behavior.singleagent.planning.stochastic.policyiteration.PolicyIteration: Calling this method will force the valueFunction to recompute the reachable states when the PolicyIteration.planFromState(State) method is called next.
recomputeReachableStates() - Method in class burlap.behavior.singleagent.planning.stochastic.valueiteration.ValueIteration: Calling this method will force the valueFunction to recompute the reachable states when the ValueIteration.planFromState(State) method is called next.
recordedEpisodes - Variable in class burlap.oomdp.singleagent.explorer.VisualExplorer
recordedLast - Variable in class burlap.shell.command.env.EpisodeRecordingCommands
recording - Variable in class burlap.shell.command.env.EpisodeRecordingCommands
recordTransitionTo(State, GroundedAction, double) - Method in class burlap.behavior.singleagent.EpisodeAnalysis: Deprecated.
recordTransitionTo(GroundedAction, State, double) - Method in class burlap.behavior.singleagent.EpisodeAnalysis: Records an transition event where the agent applied the usingAction action in the last state in this object's state sequence, transitioned to state nextState, and received reward r,.
recordTransitionTo(JointAction, State, Map<String, Double>) - Method in class burlap.behavior.stochasticgames.GameAnalysis: Records a transition from the last recorded state in this object using the specififed joint action to the specified next state and with the specified joint reward being recieved as a result.
referencesSuccessor(UCTStateNode) - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTActionNode: Returns whether this action node has a observed a given successor state node in the past
refreshPriority(T) - Method in class burlap.datastructures.HashIndexedHeap: Calling this method indicates that the priority of the object passed to the method has been modified and that this heap needs to reorder its elements as a result
regCommand - Variable in class burlap.shell.command.world.ManualAgentsCommands
registerAgent(SGAgent, SGAgentType) - Method in class burlap.oomdp.stochasticgames.World: Registers an agent to be a participant in this world.
RelationalValue - Class in burlap.oomdp.core.values: A relational valued value subclass in which values are stored as a single String object for the name of the object instance to which it is linked.
RelationalValue(Attribute) - Constructor for class burlap.oomdp.core.values.RelationalValue: Initializes this value to be an assignment for Attribute attribute.
RelationalValue(RelationalValue) - Constructor for class burlap.oomdp.core.values.RelationalValue: Initializes this value as a copy from the source Value object v.
RelationalValue(Attribute, String) - Constructor for class burlap.oomdp.core.values.RelationalValue
remove(int) - Method in class burlap.behavior.singleagent.learning.lspi.SARSData: Removes the SARSData.SARS tuple at the ith index
remove(T) - Method in class burlap.datastructures.StochasticTree: Removes the given element from the tree.
removeAction(String) - Method in class burlap.behavior.policy.RandomPolicy: Removes an action from consideration.
removeAlias(String) - Method in class burlap.shell.BurlapShell
removeAllObjects(Collection<ObjectInstance>) - Method in class burlap.oomdp.core.states.FixedSizeImmutableState
removeAllObjects(Collection<ObjectInstance>) - Method in class burlap.oomdp.core.states.ImmutableState
removeAllObjects(Collection<ObjectInstance>) - Method in class burlap.oomdp.core.states.MutableState
removeAllObjects(Collection<ObjectInstance>) - Method in interface burlap.oomdp.core.states.State: Removes the collection of objects from the state
removeAllObjects(Collection<ObjectInstance>) - Method in class burlap.oomdp.singleagent.pomdp.beliefstate.tabular.TabularBeliefState
removeAllObjects(Collection<ObjectInstance>) - Method in class burlap.oomdp.statehashing.HashableState
removeAttributeMasks(String...) - Method in class burlap.oomdp.statehashing.MaskedHashableStateFactory: Removes Attribute masks.
removeCommand(String) - Method in class burlap.shell.BurlapShell
removeEdge(int, int, int) - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain: Removes a given edge from the transition dynamics.
removeHelper(StochasticTree<T>.STNode) - Method in class burlap.datastructures.StochasticTree: A recursive method for removing a node
removeObject(String) - Method in class burlap.oomdp.core.states.FixedSizeImmutableState
removeObject(ObjectInstance) - Method in class burlap.oomdp.core.states.FixedSizeImmutableState
removeObject(String) - Method in class burlap.oomdp.core.states.ImmutableState
removeObject(ObjectInstance) - Method in class burlap.oomdp.core.states.ImmutableState
removeObject(String) - Method in class burlap.oomdp.core.states.MutableState: Removes the object instance with the name oname from this state.
removeObject(ObjectInstance) - Method in class burlap.oomdp.core.states.MutableState: Removes the object instance o from this state.
removeObject(String) - Method in interface burlap.oomdp.core.states.State: Removes the object instance with the name oname from this state.
removeObject(ObjectInstance) - Method in interface burlap.oomdp.core.states.State: Removes the object instance o from this state.
removeObject(String) - Method in class burlap.oomdp.singleagent.pomdp.beliefstate.tabular.TabularBeliefState
removeObject(ObjectInstance) - Method in class burlap.oomdp.singleagent.pomdp.beliefstate.tabular.TabularBeliefState
removeObject(String) - Method in class burlap.oomdp.statehashing.HashableState
removeObject(ObjectInstance) - Method in class burlap.oomdp.statehashing.HashableState
removeObjectClassMasks(String...) - Method in class burlap.oomdp.statehashing.MaskedHashableStateFactory: Removes ObjectClass masks.
removeObservers(EnvironmentObserver...) - Method in class burlap.oomdp.singleagent.environment.EnvironmentServer: Removes one or more EnvironmentObservers from this server.
removeObservers(EnvironmentObserver...) - Method in interface burlap.oomdp.singleagent.environment.EnvironmentServerInterface: Removes one or more EnvironmentObservers from this server.
removeObservers(EnvironmentObserver...) - Method in class burlap.oomdp.singleagent.environment.SimulatedEnvironment
removeRelationalTarget(String, String) - Method in class burlap.oomdp.core.objects.ImmutableObjectInstance: Removes an object target from the specified relational attribute.
removeRelationalTarget(String, String) - Method in class burlap.oomdp.core.objects.MutableObjectInstance: Removes an object target from the specified relational attribute.
removeRelationalTarget(String, String) - Method in interface burlap.oomdp.core.objects.ObjectInstance: Removes an object target from the specified relational attribute.
removeRelationalTarget(String) - Method in class burlap.oomdp.core.values.MultiTargetRelationalValue
removeRelationalTarget(String) - Method in class burlap.oomdp.core.values.OOMDPValue: Removes a specific relational target from the relational value in relational attribute.
removeRelationalTarget(String) - Method in class burlap.oomdp.core.values.RelationalValue
removeRelationalTarget(String) - Method in interface burlap.oomdp.core.values.Value: Removes a specific relational target from the relational value in relational attribute.
removeRelationalTarget(String, String) - Method in class burlap.oomdp.statehashing.HashableObject
RemoveRelationCommand - Class in burlap.shell.command.env: A ShellCommand for removing a relational target from an attribute for the current Environment State.
RemoveRelationCommand() - Constructor for class burlap.shell.command.env.RemoveRelationCommand
RemoveRelationSGCommand - Class in burlap.shell.command.world: A ShellCommand for removing a relational target from an attribute for the current World State.
RemoveRelationSGCommand() - Constructor for class burlap.shell.command.world.RemoveRelationSGCommand
removeRenderLayer(int) - Method in class burlap.oomdp.visualizer.MultiLayerRenderer: Removes the render layer at teh specified position.
RemoveStateObjectCommand - Class in burlap.shell.command.env: A ShellCommand for removing an OO-MDP object from the current Environment State.
RemoveStateObjectCommand() - Constructor for class burlap.shell.command.env.RemoveStateObjectCommand
RemoveStateObjectSGCommand - Class in burlap.shell.command.world: A ShellCommand for removing an OO-MDP object from the current World State.
RemoveStateObjectSGCommand() - Constructor for class burlap.shell.command.world.RemoveStateObjectSGCommand
removeTerminals(int...) - Method in class burlap.domain.singleagent.graphdefined.GraphTF: Removes nodes as being marked as terminal states
removeWorldObserver(WorldObserver) - Method in class burlap.oomdp.stochasticgames.World: Removes the specified world observer from this world
removeZeroProbTransitions(List<TransitionProbability>) - Static method in class burlap.oomdp.singleagent.FullActionModel.FullActionModelHelper: Takes a list of fully enumerated State transitions specified with TransitionProbability objects, and returns a new list of TransitionProbability objects that excludes any objects assigned probability 0.
removeZeroRows(double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver: Takes an input 2D double matrix and returns a new matrix will all the all zero rows removed.
renameObject(ObjectInstance, String) - Method in class burlap.oomdp.core.states.FixedSizeImmutableState: Renames the identifier for object instance o in this state to newName.
renameObject(ObjectInstance, String) - Method in class burlap.oomdp.core.states.ImmutableState: Renames the identifier for object instance o in this state to newName.
renameObject(ObjectInstance, String) - Method in class burlap.oomdp.core.states.MutableState: Renames the identifier for object instance o in this state to newName.
renameObject(String, String) - Method in class burlap.oomdp.core.states.OOMDPState: Renames the identifier for the object instance currently named originalName with the name newName.
renameObject(String, String) - Method in interface burlap.oomdp.core.states.State: Renames the identifier for the object instance currently named originalName with the name newName.
renameObject(ObjectInstance, String) - Method in interface burlap.oomdp.core.states.State: Renames the identifier for object instance o in this state to newName.
renameObject(String, String) - Method in class burlap.oomdp.singleagent.pomdp.beliefstate.tabular.TabularBeliefState
renameObject(ObjectInstance, String) - Method in class burlap.oomdp.singleagent.pomdp.beliefstate.tabular.TabularBeliefState
renameObject(String, String) - Method in class burlap.oomdp.statehashing.HashableState
renameObject(ObjectInstance, String) - Method in class burlap.oomdp.statehashing.HashableState
renameObjects(State) - Method in class burlap.testing.TestHashing
render(Graphics2D, float, float) - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.PolicyRenderLayer
render(Graphics2D, float, float) - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionRenderLayer
render(Graphics2D, float, float) - Method in interface burlap.oomdp.visualizer.RenderLayer
render(Graphics2D, float, float) - Method in class burlap.oomdp.visualizer.StateActionRenderLayer
render(Graphics2D, float, float) - Method in class burlap.oomdp.visualizer.StateRenderLayer
renderAction - Variable in class burlap.oomdp.visualizer.StateActionRenderLayer: The current AbstractGroundedAction to render
RenderLayer - Interface in burlap.oomdp.visualizer: A RenderLayer is a 2 dimensional layer that paints to a provided 2D graphics context.
renderLayers - Variable in class burlap.oomdp.visualizer.MultiLayerRenderer: The layers that will be rendered in order from index 0 to n
renderState - Variable in class burlap.oomdp.visualizer.StateActionRenderLayer: The current State to render
renderStateAction(Graphics2D, State, AbstractGroundedAction, float, float) - Method in class burlap.oomdp.visualizer.StateActionRenderLayer: Method to be implemented by subclasses that will render the input state-action to the given graphics context.
renderStyle - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.PolicyGlyphPainter2D: The render style to use
renderValueString - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.StateValuePainter2D: Whether the numeric string for the value of the state should be rendered in its cell or not.
repaintOnActionInitiation - Variable in class burlap.oomdp.singleagent.common.VisualActionObserver: If true, then a a state-action pair is rendered on calls to VisualActionObserver.observeEnvironmentActionInitiation(burlap.oomdp.core.states.State, burlap.oomdp.singleagent.GroundedAction) so long as the input Visualizer has a set StateActionRenderLayer.
repaintStateOnEnvironmentInteraction - Variable in class burlap.oomdp.singleagent.common.VisualActionObserver: If true (which is default), then the post-state in an VisualActionObserver.observeEnvironmentInteraction(burlap.oomdp.singleagent.environment.EnvironmentOutcome) is rendered.
replaceAllObjects(List<ImmutableObjectInstance>, List<ImmutableObjectInstance>) - Method in class burlap.oomdp.core.states.FixedSizeImmutableState
replaceAllObjects(List<ImmutableObjectInstance>, List<ImmutableObjectInstance>) - Method in class burlap.oomdp.core.states.ImmutableState
replaceAllObjects(List<ImmutableObjectInstance>, List<ImmutableObjectInstance>) - Method in interface burlap.oomdp.core.states.ImmutableStateInterface
replaceAllObjectsUnsafe(List<ObjectInstance>) - Method in class burlap.oomdp.core.states.ImmutableState
replaceAndHash(ImmutableList<ImmutableObjectInstance>, int) - Method in class burlap.oomdp.core.states.FixedSizeImmutableState
replaceAndHash(ImmutableList<ImmutableObjectInstance>, int) - Method in class burlap.oomdp.core.states.ImmutableState
replaceAndHash(ImmutableList<ImmutableObjectInstance>, int) - Method in interface burlap.oomdp.core.states.ImmutableStateInterface
replaceObject(ObjectInstance, ObjectInstance) - Method in class burlap.oomdp.core.states.FixedSizeImmutableState
replaceObject(ObjectInstance, ObjectInstance) - Method in class burlap.oomdp.core.states.ImmutableState
replaceObject(ObjectInstance, ObjectInstance) - Method in interface burlap.oomdp.core.states.ImmutableStateInterface
replayEpisode(EpisodeAnalysis) - Method in class burlap.oomdp.singleagent.common.VisualActionObserver: Causes the visualizer to replay through the provided EpisodeAnalysis object.
replayGame(GameAnalysis) - Method in class burlap.oomdp.stochasticgames.common.VisualWorldObserver: Causes the visualizer to be replayed for the given GameAnalysis object.
request - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.MLIRL: The MLRIL request defining the IRL problem.
request - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL: The source problem request defining the problem to be solved.
rerunVI() - Method in class burlap.behavior.singleagent.learning.modellearning.modelplanners.VIModelLearningPlanner: Reruns VI on the new updated model.
rescale(double, double) - Method in interface burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.ColorBlend: Tells this object the minimum value and the maximum value it can receive.
rescale(double, double) - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.LandmarkColorBlendInterpolation
rescale(double, double) - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.StateValuePainter2D
rescale(double, double) - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.StateValuePainter: Used to tell this painter that it should render state values so that the minimum possible value is lowerValue and the maximum is upperValue.
rescaleRect(float, float, float, float, float) - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.PolicyGlyphPainter2D: Takes in a rectangle specification and scales it equally along each direction by a scale factor.
reserved - Variable in class burlap.shell.BurlapShell
resetAvgs() - Method in class burlap.debugtools.MyTimer: Resets to zero the average and total time recorded over all start-stop calls.
resetData() - Method in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor
resetData() - Method in class burlap.behavior.singleagent.learning.actorcritic.Actor: Used to reset any data that was created/modified during learning so that learning can be begin anew.
resetData() - Method in interface burlap.behavior.singleagent.learning.actorcritic.Critic: Used to reset any data that was created/modified during learning so that learning can be begin anew.
resetData() - Method in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda
resetData() - Method in class burlap.behavior.singleagent.learning.actorcritic.critics.TimeIndexedTDLambda
resetDecay() - Method in class burlap.behavior.learningrate.ConstantLR
resetDecay() - Method in class burlap.behavior.learningrate.ExponentialDecayLR
resetDecay() - Method in interface burlap.behavior.learningrate.LearningRate: Causes any learnign rate decay to reset to where it started.
resetDecay() - Method in class burlap.behavior.learningrate.SoftTimeInverseDecayLR
resetDecay() - Method in class burlap.behavior.singleagent.vfa.fourier.FourierBasisLearningRateWrapper
ResetEnvCommand - Class in burlap.shell.command.env: A ShellCommand for resetting the Environment.
ResetEnvCommand() - Constructor for class burlap.shell.command.env.ResetEnvCommand
resetEnvironment() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface
resetEnvironment() - Method in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface
resetEnvironment() - Method in interface burlap.oomdp.singleagent.environment.Environment: Resets this environment to some initial state, if the functionality exists.
resetEnvironment() - Method in class burlap.oomdp.singleagent.environment.EnvironmentServer
resetEnvironment() - Method in class burlap.oomdp.singleagent.environment.SimulatedEnvironment
resetEnvironment() - Method in class burlap.oomdp.singleagent.pomdp.SimulatedPOEnvironment
resetMatchSelections() - Method in class burlap.oomdp.stochasticgames.tournament.common.AllPairWiseSameTypeMS
resetMatchSelections() - Method in interface burlap.oomdp.stochasticgames.tournament.MatchSelector: Resets the match selections and causes the MatchSelector.getNextMatch() method to start from the beginning of matches
resetModel() - Method in class burlap.behavior.singleagent.learning.modellearning.Model: Resets the model data so that learning can begin anew.
resetModel() - Method in class burlap.behavior.singleagent.learning.modellearning.models.TabularModel
resetParameters() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF
resetParameters() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateDifferentiableRF
resetParameters() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.DiffVFRF
resetParameters() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit
resetParameters() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearStateDiffVF
resetParameters() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.VanillaDiffVinit
resetParameters() - Method in class burlap.behavior.singleagent.vfa.common.LinearFVVFA
resetParameters() - Method in class burlap.behavior.singleagent.vfa.common.LinearVFA
resetParameters() - Method in interface burlap.behavior.singleagent.vfa.ParametricFunction: Resets the parameters of this function to default values.
resetSolver() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableDP
resetSolver() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling
resetSolver() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableVI
resetSolver() - Method in class burlap.behavior.singleagent.learning.actorcritic.ActorCritic
resetSolver() - Method in class burlap.behavior.singleagent.learning.lspi.LSPI
resetSolver() - Method in class burlap.behavior.singleagent.learning.modellearning.artdp.ARTDP
resetSolver() - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax
resetSolver() - Method in class burlap.behavior.singleagent.learning.tdmethods.QLearning
resetSolver() - Method in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam
resetSolver() - Method in class burlap.behavior.singleagent.MDPSolver
resetSolver() - Method in interface burlap.behavior.singleagent.MDPSolverInterface: This method resets all solver results so that a solver can be restarted fresh as if had never solved the MDP.
resetSolver() - Method in class burlap.behavior.singleagent.planning.deterministic.DeterministicPlanner
resetSolver() - Method in class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.DFS
resetSolver() - Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming
resetSolver() - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT
resetSolver() - Method in class burlap.behavior.singleagent.planning.stochastic.policyiteration.PolicyIteration
resetSolver() - Method in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling
resetSolver() - Method in class burlap.behavior.singleagent.planning.stochastic.valueiteration.ValueIteration
resetSolver() - Method in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI
resetSolver() - Method in class burlap.behavior.singleagent.pomdp.qmdp.QMDP
resetSolver() - Method in class burlap.behavior.singleagent.pomdp.wrappedmdpalgs.BeliefSparseSampling
resetSolver() - Method in class burlap.tutorials.cpl.QLTutorial
resetSolver() - Method in class burlap.tutorials.cpl.VITutorial
resetTournamentReward() - Method in class burlap.oomdp.stochasticgames.tournament.Tournament: Reset the cumulative reward received by each agent in this tournament.
resolveCollisions(List<GridGameStandardMechanics.Location2>, List<GridGameStandardMechanics.Location2>) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics: Resolves collisions that occur when two or more agents try to enter the same cell, in which case only one agent will make it into the position and the rest will stay in place
resolveCommand(String) - Method in class burlap.shell.BurlapShell
resolvePositionSwaps(List<GridGameStandardMechanics.Location2>, List<GridGameStandardMechanics.Location2>) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics: Returns the position of each agent after accounting for collisions that are a result of agents trying to move into each others previous locations.
responseFor(double[]) - Method in class burlap.behavior.singleagent.vfa.rbf.functions.FVGaussianRBF
responseFor(State) - Method in class burlap.behavior.singleagent.vfa.rbf.functions.GaussianRBF
responseFor(double[]) - Method in class burlap.behavior.singleagent.vfa.rbf.FVRBF: Returns the RBF response from its center state to the query input state.
responseFor(State) - Method in class burlap.behavior.singleagent.vfa.rbf.RBF: Returns a response value to an input state that is a function of the distance between the input and this unit's center state.
returnCode - Variable in class burlap.shell.ShellObserver.ShellCommandEvent: The return code of the command.
reverseEnumerate - Variable in class burlap.behavior.singleagent.auxiliary.StateEnumerator: The reverse enumeration id to state map
reward(State, GroundedAction, State) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF
reward(State, GroundedAction, State) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateDifferentiableRF
reward(State, GroundedAction, State) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.DiffVFRF
reward(State, GroundedAction, State) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit
reward(State, GroundedAction, State) - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax.PotentialShapedRMaxRF
reward(State, GroundedAction, State) - Method in class burlap.behavior.singleagent.options.support.LocalSubgoalRF
reward(State, GroundedAction, State) - Method in class burlap.behavior.singleagent.options.support.OptionEvaluatingRF
reward(State, GroundedAction, State) - Method in class burlap.behavior.singleagent.shaping.ShapedRewardFunction
reward(State, GroundedAction, State) - Method in class burlap.domain.singleagent.cartpole.CartPoleDomain.CartPoleRewardFunction
reward(State, GroundedAction, State) - Method in class burlap.domain.singleagent.cartpole.InvertedPendulum.InvertedPendulumRewardFunction
reward(State, GroundedAction, State) - Method in class burlap.domain.singleagent.frostbite.FrostbiteRF
reward(State, GroundedAction, State) - Method in class burlap.domain.singleagent.graphdefined.GraphRF
reward(int, int, int) - Method in class burlap.domain.singleagent.graphdefined.GraphRF: Returns the reward for taking action a in state node s and transition to state node sprime.
reward(State, GroundedAction, State) - Method in class burlap.domain.singleagent.gridworld.GridWorldRewardFunction
reward(State, GroundedAction, State) - Method in class burlap.domain.singleagent.gridworld.macro.MacroCellGridWorld.LinearInPFRewardFunction
reward(State, GroundedAction, State) - Method in class burlap.domain.singleagent.lunarlander.LunarLanderRF
reward(State, GroundedAction, State) - Method in class burlap.domain.singleagent.pomdp.tiger.TigerDomain.TigerRF
reward(State, JointAction, State) - Method in class burlap.domain.stochasticgames.gridgame.GridGame.GGJointRewardFunction
reward(State, JointAction, State) - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.SingleStageNormalFormJointReward
reward(State, GroundedAction, State) - Method in class burlap.oomdp.singleagent.common.GoalBasedRF
reward(State, GroundedAction, State) - Method in class burlap.oomdp.singleagent.common.NullRewardFunction
reward(State, GroundedAction, State) - Method in class burlap.oomdp.singleagent.common.SingleGoalPFRF
reward(State, GroundedAction, State) - Method in class burlap.oomdp.singleagent.common.UniformCostRF
reward(State, GroundedAction, State) - Method in class burlap.oomdp.singleagent.pomdp.BeliefMDPGenerator.BeliefRF
reward(State, GroundedAction, State) - Method in interface burlap.oomdp.singleagent.RewardFunction: Returns the reward received when action a is executed in state s and the agent transitions to state sprime.
reward(State, JointAction, State) - Method in class burlap.oomdp.stochasticgames.common.NullJointReward
reward(State, JointAction, State) - Method in interface burlap.oomdp.stochasticgames.JointReward: Returns the reward received by each agent specified in the joint action.
reward(State, GroundedAction, State) - Method in class burlap.tutorials.bd.ExampleGridWorld.ExampleRF
RewardCommand - Class in burlap.shell.command.env: A ShellCommand for checking the last reward received from the Environment.
RewardCommand() - Constructor for class burlap.shell.command.env.RewardCommand
RewardFunction - Interface in burlap.oomdp.singleagent: Defines the reward function for a task.
rewardMap - Variable in class burlap.domain.singleagent.gridworld.macro.MacroCellVisualizer.MacroCellRewardWeightPainter
rewardMatrix - Variable in class burlap.domain.singleagent.gridworld.GridWorldRewardFunction
rewardRange - Variable in class burlap.oomdp.singleagent.interfaces.rlglue.RLGlueEnvironment: The reward function value range
rewards - Variable in class burlap.domain.singleagent.gridworld.macro.MacroCellGridWorld.LinearInPFRewardFunction
RewardsCommand - Class in burlap.shell.command.world: A ShellCommand for printing the last joint rewards delivered by a World.
RewardsCommand() - Constructor for class burlap.shell.command.world.RewardsCommand
rewardSequence - Variable in class burlap.behavior.singleagent.EpisodeAnalysis: The sequence of rewards received.
RewardValueProjection - Class in burlap.behavior.singleagent.learnfromdemo: This class is a QFunction/ValueFunction wrapper to provide the immediate reward signals for a source RewardFunction.
RewardValueProjection(RewardFunction) - Constructor for class burlap.behavior.singleagent.learnfromdemo.RewardValueProjection: Initializes for the given RewardFunction assuming that it only depends on the destination state.
RewardValueProjection(RewardFunction, RewardValueProjection.RewardProjectionType) - Constructor for class burlap.behavior.singleagent.learnfromdemo.RewardValueProjection: Initializes.
RewardValueProjection(RewardFunction, RewardValueProjection.RewardProjectionType, Domain) - Constructor for class burlap.behavior.singleagent.learnfromdemo.RewardValueProjection: Initializes.
RewardValueProjection.RewardProjectionType - Enum in burlap.behavior.singleagent.learnfromdemo
rf - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.VanillaDiffVinit: The differentiable reward function that defines the parameter space over which this value function initialization must differentiate.
rf - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.MLIRLRequest: The differentiable reward function model that will be estimated by MLRIL.
rf - Variable in class burlap.behavior.singleagent.learnfromdemo.RewardValueProjection
rf - Variable in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda: The reward function used for learning.
rf - Variable in class burlap.behavior.singleagent.MDPSolver: The task reward function
rf - Variable in class burlap.behavior.singleagent.options.Option: reward function for keeping track of the cumulative reward during an execution
rf - Variable in class burlap.oomdp.singleagent.environment.SimulatedEnvironment: The reward function of this environment
rf - Variable in class burlap.oomdp.singleagent.interfaces.rlglue.RLGlueEnvironment: The reward function
rfDim - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling: The dimensionality of the differentiable reward function
rfDim - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit: The dimensionality of the reward function parameters
rfFeaturesAreForNextState - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit: Whether features are based on the next state or previous state.
rfFvGen - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit: The state feature vector generator.
RLGlueDomain - Class in burlap.behavior.singleagent.interfaces.rlglue: A class for generating a BURLAP Domain for an RLGlue TaskSpec.
RLGlueDomain(TaskSpec) - Constructor for class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain
RLGlueDomain.RLGlueActionSpecification - Class in burlap.behavior.singleagent.interfaces.rlglue: A BURLAP Action that corresponds to an RLGlue action that is defined by a single int value.
RLGlueDomain.RLGlueActionSpecification(Domain, int) - Constructor for class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain.RLGlueActionSpecification: Initiaizes.
RLGlueEnvironment - Class in burlap.oomdp.singleagent.interfaces.rlglue: This class can be used to take a BURLAP domain and task with discrete actions and turn it into an RLGlue environment with which other RLGlue agents can interact.
RLGlueEnvironment(Domain, StateGenerator, RewardFunction, TerminalFunction, DoubleRange, boolean, double) - Constructor for class burlap.oomdp.singleagent.interfaces.rlglue.RLGlueEnvironment: Constructs with all the BURLAP information necessary for generating an RLGlue Environment.
RLGlueEnvironmentInterface - Class in burlap.behavior.singleagent.interfaces.rlglue: A BURLAP Environment that manages the interface to an RLGlue Environment.
RLGlueEnvironmentInterface() - Constructor for class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface
RLGlueEnvironmentInterface.MutableInt - Class in burlap.behavior.singleagent.interfaces.rlglue: A mutable int wrapper
RLGlueEnvironmentInterface.MutableInt() - Constructor for class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface.MutableInt
RLGlueEnvironmentInterface.StateReference - Class in burlap.behavior.singleagent.interfaces.rlglue: A wrapper that maintains a reference to a State or null.
RLGlueEnvironmentInterface.StateReference() - Constructor for class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface.StateReference
rlGlueExperimentFinished - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface
rlGlueExperimentFinished() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueEnvironmentInterface: Returns true if the RLGlue experiment is finished; false otherwise.
rolloutJointPolicy(JointPolicy, int) - Method in class burlap.oomdp.stochasticgames.World: Rollsout a joint policy until a terminate state is reached for a maximum number of stages.
rolloutJointPolicyFromState(JointPolicy, State, int) - Method in class burlap.oomdp.stochasticgames.World: Rollsout a joint policy from a given state until a terminate state is reached for a maximum number of stages.
rolloutOneStageOfJointPolicy(JointPolicy) - Method in class burlap.oomdp.stochasticgames.World: Runs a single stage following a joint policy for the current world state
rollOutPolicy - Variable in class burlap.behavior.singleagent.planning.stochastic.rtdp.RTDP: The policy to use for episode rollouts
root - Variable in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT
root - Variable in class burlap.datastructures.StochasticTree: Root node of the stochastic tree
rootLevelQValues - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling: The root state node Q-values that have been estimated by previous planning calls.
rootLevelQValues - Variable in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling: The root state node Q-values that have been estimated by previous planning calls.
roundNegativesToZero(double[]) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver: Creates a new 1D double array with all negative values rounded to 0.
rowCol(int, int) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver: Returns the 2D row column index in a matrix of a given number of columns for a given 1D array index.
rowPayoffs - Variable in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.EquilibriumPlayingSGAgent.BimatrixTuple: The row player's payoffs.
RTDP - Class in burlap.behavior.singleagent.planning.stochastic.rtdp: Implementation of Real-time dynamic programming [1].
RTDP(Domain, RewardFunction, TerminalFunction, double, HashableStateFactory, double, int, double, int) - Constructor for class burlap.behavior.singleagent.planning.stochastic.rtdp.RTDP: Initializes the valueFunction.
RTDP(Domain, RewardFunction, TerminalFunction, double, HashableStateFactory, ValueFunctionInitialization, int, double, int) - Constructor for class burlap.behavior.singleagent.planning.stochastic.rtdp.RTDP: Initializes the valueFunction.
runEpisodeBoundTrial(LearningAgentFactory) - Method in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter: Runs a trial for an agent generated by the given factory when interpreting trial length as a number of episodes.
runEpisodewiseTrial(World) - Method in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter: Runs a trial where trial length is interpreted as the number of episodes in a trial.
runGame() - Method in class burlap.oomdp.stochasticgames.World: Runs a game until a terminal state is hit.
runGame(int) - Method in class burlap.oomdp.stochasticgames.World: Runs a game until a terminal state is hit for maxStages have occurred
runGame(int, State) - Method in class burlap.oomdp.stochasticgames.World: Runs a game starting in the input state until a terminal state is hit.
runIteration() - Method in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI: Runs a single iteration of value iteration.
runLearningEpisode(Environment) - Method in class burlap.behavior.singleagent.learning.actorcritic.ActorCritic
runLearningEpisode(Environment, int) - Method in class burlap.behavior.singleagent.learning.actorcritic.ActorCritic
runLearningEpisode(Environment) - Method in interface burlap.behavior.singleagent.learning.LearningAgent
runLearningEpisode(Environment, int) - Method in interface burlap.behavior.singleagent.learning.LearningAgent
runLearningEpisode(Environment) - Method in class burlap.behavior.singleagent.learning.lspi.LSPI
runLearningEpisode(Environment, int) - Method in class burlap.behavior.singleagent.learning.lspi.LSPI
runLearningEpisode(Environment) - Method in class burlap.behavior.singleagent.learning.modellearning.artdp.ARTDP
runLearningEpisode(Environment, int) - Method in class burlap.behavior.singleagent.learning.modellearning.artdp.ARTDP
runLearningEpisode(Environment) - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax
runLearningEpisode(Environment, int) - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax
runLearningEpisode(Environment) - Method in class burlap.behavior.singleagent.learning.tdmethods.QLearning
runLearningEpisode(Environment, int) - Method in class burlap.behavior.singleagent.learning.tdmethods.QLearning
runLearningEpisode(Environment, int) - Method in class burlap.behavior.singleagent.learning.tdmethods.SarsaLam
runLearningEpisode(Environment) - Method in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam
runLearningEpisode(Environment, int) - Method in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam
runLearningEpisode(Environment) - Method in class burlap.tutorials.cpl.QLTutorial
runLearningEpisode(Environment, int) - Method in class burlap.tutorials.cpl.QLTutorial
runLivePolling - Variable in class burlap.oomdp.singleagent.explorer.VisualExplorer
runLPAndGetJointActionProbs(LinearProgram, int, int) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver: Helper method for running the linear program optimization (after its constraints have already been set) and returning the result in the form of the 2D double matrix joint strategy.
runPlannerForAllInitStates(Planner, StateConditionTestIterable) - Static method in class burlap.behavior.singleagent.planning.deterministic.MultiStatePrePlanner: Runs a planning algorithm from multiple initial states to ensure that an adequate plan/policy exist for of the states.
runPlannerForAllInitStates(Planner, Collection<State>) - Static method in class burlap.behavior.singleagent.planning.deterministic.MultiStatePrePlanner: Runs a planning algorithm from multiple initial states to ensure that an adequate plan/policy exist for of the states.
runPolicyIteration(int, double) - Method in class burlap.behavior.singleagent.learning.lspi.LSPI: Runs LSPI for either numIterations or until the change in the weight matrix is no greater than maxChange.
runRollout(State) - Method in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP: Runs a planning rollout from the provided state.
runRolloutsInReverse - Variable in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP: Whether each rollout should be run in reverse after completion.
runStage() - Method in class burlap.oomdp.stochasticgames.World: Runs a single stage of this game.
runStepBoundTrial(LearningAgentFactory) - Method in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter: Runs a trial for an agent generated by the given factor when interpreting trial length as a number of total steps.
runStepwiseTrial(World) - Method in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter: Runs a trial where the trial lenght is interpreted as the number of total steps taken.
runTournament() - Method in class burlap.oomdp.stochasticgames.tournament.Tournament: Runs the tournament
runVI() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableVI: Runs VI until the specified termination conditions are met.
runVI() - Method in class burlap.behavior.singleagent.planning.stochastic.valueiteration.PrioritizedSweeping
runVI() - Method in class burlap.behavior.singleagent.planning.stochastic.valueiteration.ValueIteration: Runs VI until the specified termination conditions are met.
runVI() - Method in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI: Runs value iteration.
runVI() - Method in class burlap.behavior.stochasticgames.madynamicprogramming.dpplanners.MAValueIteration: Runs Value Iteration over the set of states that have been discovered.

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