 p  Variable in class burlap.mdp.core.StateTransitionProb

 p  Variable in class burlap.mdp.singleagent.model.TransitionProb

The probability of the transition
 p  Variable in class burlap.mdp.singleagent.pomdp.observations.ObservationProbability

The probability of the observation
 p0  Variable in class burlap.mdp.stochasticgames.tournament.common.AllPairWiseSameTypeMS

 p1  Variable in class burlap.mdp.stochasticgames.tournament.common.AllPairWiseSameTypeMS

 pad  Variable in class burlap.domain.singleagent.lunarlander.state.LLState

 PadPainter(LunarLanderDomain.LLPhysicsParams)  Constructor for class burlap.domain.singleagent.lunarlander.LLVisualizer.PadPainter

 paint(Graphics2D, float, float)  Method in interface burlap.behavior.singleagent.auxiliary.valuefunctionvis.StaticDomainPainter

Use to paint general domain information to a 2D graphics context.
 paint(Graphics2D, State, float, float)  Method in class burlap.domain.singleagent.cartpole.CartPoleVisualizer.CartPolePainter

 paint(Graphics2D, State, float, float)  Method in class burlap.domain.singleagent.gridworld.GridWorldVisualizer.MapPainter

 paint(Graphics2D, State, float, float)  Method in class burlap.domain.singleagent.mountaincar.MountainCarVisualizer.AgentPainter

 paint(Graphics2D, State, float, float)  Method in class burlap.domain.singleagent.mountaincar.MountainCarVisualizer.HillPainter

 paint(Graphics2D, State, float, float)  Method in class burlap.visualizer.OOStatePainter

 paint(Graphics2D, State, float, float)  Method in interface burlap.visualizer.StatePainter

Paints general state information not to graphics context g2
 paintComponent(Graphics)  Method in class burlap.visualizer.MultiLayerRenderer

 painter  Variable in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer

 painter  Variable in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer

 painter  Variable in class burlap.mdp.singleagent.common.VisualActionObserver

The visualizer that will render states
 painter  Variable in class burlap.mdp.stochasticgames.common.VisualWorldObserver

The visualizer that will render states
 painter  Variable in class burlap.shell.visual.SGVisualExplorer

 painter  Variable in class burlap.shell.visual.VisualExplorer

 paintGlyph(Graphics2D, float, float, float, float)  Method in interface burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.ActionGlyphPainter

Called to paint a glyph in the rectangle defined by the top left origin (x,y) with the given width and height.
 paintGlyph(Graphics2D, float, float, float, float)  Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.ArrowActionGlyph

 paintObject(Graphics2D, OOState, ObjectInstance, float, float)  Method in class burlap.domain.singleagent.blockdude.BlockDudeVisualizer.AgentPainter

 paintObject(Graphics2D, OOState, ObjectInstance, float, float)  Method in class burlap.domain.singleagent.blockdude.BlockDudeVisualizer.BlockPainter

 paintObject(Graphics2D, OOState, ObjectInstance, float, float)  Method in class burlap.domain.singleagent.blockdude.BlockDudeVisualizer.BricksPainter

 paintObject(Graphics2D, OOState, ObjectInstance, float, float)  Method in class burlap.domain.singleagent.blockdude.BlockDudeVisualizer.ExitPainter

 paintObject(Graphics2D, OOState, ObjectInstance, float, float)  Method in class burlap.domain.singleagent.blocksworld.BlocksWorldVisualizer.BlockPainter

 paintObject(Graphics2D, OOState, ObjectInstance, float, float)  Method in class burlap.domain.singleagent.frostbite.FrostbiteVisualizer.AgentPainter

 paintObject(Graphics2D, OOState, ObjectInstance, float, float)  Method in class burlap.domain.singleagent.frostbite.FrostbiteVisualizer.IglooPainter

 paintObject(Graphics2D, OOState, ObjectInstance, float, float)  Method in class burlap.domain.singleagent.frostbite.FrostbiteVisualizer.PlatformPainter

 paintObject(Graphics2D, OOState, ObjectInstance, float, float)  Method in class burlap.domain.singleagent.gridworld.GridWorldVisualizer.CellPainter

 paintObject(Graphics2D, OOState, ObjectInstance, float, float)  Method in class burlap.domain.singleagent.gridworld.GridWorldVisualizer.LocationPainter

 paintObject(Graphics2D, OOState, ObjectInstance, float, float)  Method in class burlap.domain.singleagent.lunarlander.LLVisualizer.AgentPainter

 paintObject(Graphics2D, OOState, ObjectInstance, float, float)  Method in class burlap.domain.singleagent.lunarlander.LLVisualizer.ObstaclePainter

 paintObject(Graphics2D, OOState, ObjectInstance, float, float)  Method in class burlap.domain.singleagent.lunarlander.LLVisualizer.PadPainter

 paintObject(Graphics2D, OOState, ObjectInstance, float, float)  Method in interface burlap.visualizer.ObjectPainter

Paints object instance ob to graphics context g2
 paintStatePolicy(Graphics2D, State, Policy, float, float)  Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.PolicyGlyphPainter2D

 paintStatePolicy(Graphics2D, State, Policy, float, float)  Method in interface burlap.behavior.singleagent.auxiliary.valuefunctionvis.StatePolicyPainter

Paints a representation of the given policy for a specific state to a 2D graphics context.
 paintStateValue(Graphics2D, State, double, float, float)  Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.StateValuePainter2D

 paintStateValue(Graphics2D, State, double, float, float)  Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.StateValuePainter

Paints the representation of a value function for a specific state.
 parameterClasses  Variable in class burlap.mdp.core.oo.propositional.PropositionalFunction

 parameterClasses  Variable in class burlap.mdp.singleagent.oo.ObjectParameterizedActionType

The object classes each parameter of this action can accept; empty list for a parameterless action (which is the default)
 parameterId  Variable in class burlap.behavior.functionapproximation.FunctionGradient.PartialDerivative

 parameterOrderGroup  Variable in class burlap.mdp.core.oo.propositional.PropositionalFunction

 parameterOrderGroup  Variable in class burlap.mdp.singleagent.oo.ObjectParameterizedActionType

Specifies the parameter order group each parameter.
 parameters  Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF

The parameters of this reward function
 parameters  Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateDifferentiableRF

The parameters of this reward function
 parameters  Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit

 parameters  Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearStateDiffVF

 ParametricFunction  Interface in burlap.behavior.functionapproximation

An interface for defining a parametric function.
 ParametricFunction.ParametricStateActionFunction  Interface in burlap.behavior.functionapproximation

A parametric function that operations on stateactions
 ParametricFunction.ParametricStateFunction  Interface in burlap.behavior.functionapproximation

A Parametric function that operates on states.
 params  Variable in class burlap.mdp.core.oo.propositional.GroundedProp

 params  Variable in class burlap.mdp.singleagent.oo.ObjectParameterizedActionType.SAObjectParameterizedAction

 parse(String)  Static method in class burlap.behavior.stochasticgames.GameEpisode

 parseEpisode(String)  Static method in class burlap.behavior.singleagent.Episode

 parseEpisodeFiles(String)  Method in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer

 parser  Variable in class burlap.shell.command.env.AddStateObjectCommand

 parser  Variable in class burlap.shell.command.env.EpisodeRecordingCommands.EpisodeBrowserCommand

 parser  Variable in class burlap.shell.command.env.EpisodeRecordingCommands.RecordCommand

 parser  Variable in class burlap.shell.command.env.ExecuteActionCommand

 parser  Variable in class burlap.shell.command.env.IsTerminalCommand

 parser  Variable in class burlap.shell.command.env.ListActionsCommand

 parser  Variable in class burlap.shell.command.env.ListPropFunctions

 parser  Variable in class burlap.shell.command.env.ObservationCommand

 parser  Variable in class burlap.shell.command.env.RemoveStateObjectCommand

 parser  Variable in class burlap.shell.command.env.RewardCommand

 parser  Variable in class burlap.shell.command.env.SetVarCommand

 parser  Variable in class burlap.shell.command.reserved.AliasCommand

 parser  Variable in class burlap.shell.command.reserved.AliasesCommand

 parser  Variable in class burlap.shell.command.reserved.CommandsCommand

 parser  Variable in class burlap.shell.command.world.AddStateObjectSGCommand

 parser  Variable in class burlap.shell.command.world.GameCommand

 parser  Variable in class burlap.shell.command.world.GenerateStateCommand

 parser  Variable in class burlap.shell.command.world.IsTerminalSGCommand

 parser  Variable in class burlap.shell.command.world.JointActionCommand

 parser  Variable in class burlap.shell.command.world.LastJointActionCommand

 parser  Variable in class burlap.shell.command.world.ManualAgentsCommands.ListManualAgents

 parser  Variable in class burlap.shell.command.world.ManualAgentsCommands.LSManualAgentActionsCommands

 parser  Variable in class burlap.shell.command.world.ManualAgentsCommands.RegisterAgentCommand

 parser  Variable in class burlap.shell.command.world.ManualAgentsCommands.SetAgentAction

 parser  Variable in class burlap.shell.command.world.RemoveStateObjectSGCommand

 parser  Variable in class burlap.shell.command.world.RewardsCommand

 parser  Variable in class burlap.shell.command.world.SetVarSGCommand

 parser  Variable in class burlap.shell.command.world.WorldObservationCommand

 parser  Variable in class burlap.shell.visual.VisualExplorer.LivePollCommand

 PartialDerivative(int, double)  Constructor for class burlap.behavior.functionapproximation.FunctionGradient.PartialDerivative

 payouts  Variable in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

The pay out function for each player.
 peek()  Method in class burlap.datastructures.HashIndexedHeap

Returns a pointer to the head of the heap without removing it
 peekAtLearningRate(State, Action)  Method in class burlap.behavior.functionapproximation.dense.fourier.FourierBasisLearningRateWrapper

 peekAtLearningRate(int)  Method in class burlap.behavior.functionapproximation.dense.fourier.FourierBasisLearningRateWrapper

 peekAtLearningRate(State, Action)  Method in class burlap.behavior.learningrate.ConstantLR

 peekAtLearningRate(int)  Method in class burlap.behavior.learningrate.ConstantLR

 peekAtLearningRate(State, Action)  Method in class burlap.behavior.learningrate.ExponentialDecayLR

 peekAtLearningRate(int)  Method in class burlap.behavior.learningrate.ExponentialDecayLR

 peekAtLearningRate(State, Action)  Method in interface burlap.behavior.learningrate.LearningRate

A method for looking at the current learning rate for a stateaction pair without having it altered.
 peekAtLearningRate(int)  Method in interface burlap.behavior.learningrate.LearningRate

A method for looking at the current learning rate for a state (action) feature without having it altered.
 peekAtLearningRate(State, Action)  Method in class burlap.behavior.learningrate.SoftTimeInverseDecayLR

 peekAtLearningRate(int)  Method in class burlap.behavior.learningrate.SoftTimeInverseDecayLR

 peekAtTime()  Method in class burlap.debugtools.MyTimer

Returns the current elapsed time since the timer was started.
 percolateWeightChange(StochasticTree<T>.STNode, double)  Method in class burlap.datastructures.StochasticTree

A recursive method for percolating a weight change of a node
 PerformanceMetric  Enum in burlap.behavior.singleagent.auxiliary.performance

 PerformancePlotter  Class in burlap.behavior.singleagent.auxiliary.performance

This class is an action observer used to collect and plot performance data of a learning agent either by itself or against another learning agent.
 PerformancePlotter(String, int, int, int, int, TrialMode, PerformanceMetric...)  Constructor for class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter

Initializes a performance plotter.
 PerformancePlotter.AgentDatasets  Class in burlap.behavior.singleagent.auxiliary.performance

A datastructure for maintain the plot series data in the current agent
 PerformancePlotter.MutableBoolean  Class in burlap.behavior.singleagent.auxiliary.performance

A class for a mutable boolean
 PerformancePlotter.Trial  Class in burlap.behavior.singleagent.auxiliary.performance

A datastructure for maintaining all the metric stats for a single trial.
 performBackup(State, int, List<SGAgentType>, AgentQSourceMap)  Method in class burlap.behavior.stochasticgames.madynamicprogramming.backupOperators.CoCoQ

 performBackup(State, int, List<SGAgentType>, AgentQSourceMap)  Method in class burlap.behavior.stochasticgames.madynamicprogramming.backupOperators.CorrelatedQ

 performBackup(State, int, List<SGAgentType>, AgentQSourceMap)  Method in class burlap.behavior.stochasticgames.madynamicprogramming.backupOperators.MaxQ

 performBackup(State, int, List<SGAgentType>, AgentQSourceMap)  Method in class burlap.behavior.stochasticgames.madynamicprogramming.backupOperators.MinMaxQ

 performBackup(State, int, List<SGAgentType>, AgentQSourceMap)  Method in interface burlap.behavior.stochasticgames.madynamicprogramming.SGBackupOperator

 performBellmanUpdateOn(State)  Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming

Performs a Bellman value function update on the provided state.
 performBellmanUpdateOn(HashableState)  Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming

Performs a Bellman value function update on the provided (hashed) state.
 performDPValueGradientUpdateOn(HashableState)  Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableDP

Performs the Boltzmann value function gradient backup for the given
HashableState
.
 performFixedPolicyBellmanUpdateOn(State, EnumerablePolicy)  Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming

Performs a fixedpolicy Bellman value function update (i.e., policy evaluation) on the provided state.
 performFixedPolicyBellmanUpdateOn(HashableState, EnumerablePolicy)  Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming

Performs a fixedpolicy Bellman value function update (i.e., policy evaluation) on the provided state.
 performIRL()  Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MLIRL

Runs gradient ascent.
 performIRL()  Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL

Performs multiple intention inverse reinforcement learning.
 performOrderedBellmanUpdates(List<HashableState>)  Method in class burlap.behavior.singleagent.planning.stochastic.rtdp.RTDP

Performs ordered Bellman updates on the list of (hashed) states provided to it.
 performReachabilityFrom(State)  Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableVI

This method will find all reachable states that will be used by the
DifferentiableVI.runVI()
method and will cache all the transition dynamics.
 performReachabilityFrom(State)  Method in class burlap.behavior.singleagent.planning.stochastic.policyiteration.PolicyEvaluation

This method will find all reachable states that will be used when computing the value function.
 performReachabilityFrom(State)  Method in class burlap.behavior.singleagent.planning.stochastic.policyiteration.PolicyIteration

This method will find all reachable states that will be used when computing the value function.
 performReachabilityFrom(State)  Method in class burlap.behavior.singleagent.planning.stochastic.valueiteration.PrioritizedSweeping

 performReachabilityFrom(State)  Method in class burlap.behavior.singleagent.planning.stochastic.valueiteration.ValueIteration

This method will find all reachable states that will be used by the
ValueIteration.runVI()
method and will cache all the transition dynamics.
 performStateReachabilityFrom(State)  Method in class burlap.behavior.stochasticgames.madynamicprogramming.dpplanners.MAValueIteration

Finds and stores all states that are reachable from input state s.
 pf  Variable in class burlap.mdp.core.oo.propositional.GroundedProp

 PF_AT_EXIT  Static variable in class burlap.domain.singleagent.blockdude.BlockDude

Name for the propositional function that tests whether the agent is at an exit
 PF_AT_LOCATION  Static variable in class burlap.domain.singleagent.gridworld.GridWorldDomain

Constant for the name of the at location propositional function
 PF_CLEAR  Static variable in class burlap.domain.singleagent.blocksworld.BlocksWorld

Constant for the propositional function "clear" name
 PF_HOLDING_BLOCK  Static variable in class burlap.domain.singleagent.blockdude.BlockDude

Name for the propositional function that tests whether the agent is holding a block.
 PF_IGLOO_BUILT  Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain

Constant for the name of the propositional function "igloo is built"
 PF_IN_P_GOAL  Static variable in class burlap.domain.stochasticgames.gridgame.GridGame

A constant for the name of a propositional function that evaluates whether an agent is in a personal goal location for just them.
 PF_IN_U_GOAL  Static variable in class burlap.domain.stochasticgames.gridgame.GridGame

A constant for the name of a propositional function that evaluates whether an agent is in a universal goal location.
 PF_IN_WATER  Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain

Constant for the name of the propositional function "agent is in water"
 PF_ON_BLOCK  Static variable in class burlap.domain.singleagent.blocksworld.BlocksWorld

Constant for the propositional function "on" name
 PF_ON_GROUND  Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Constant for the name of the propositional function that indicates whether the agent/lander is on the ground
 PF_ON_ICE  Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain

Constant for the name of the propositional function "agent is on ice"
 PF_ON_PAD  Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Constant for the name of the propositional function that indicates whether the agent/lander is on a landing pad
 PF_ON_PLATFORM  Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain

Constant for the name of the propositional function "agent is on platform"
 PF_ON_TABLE  Static variable in class burlap.domain.singleagent.blocksworld.BlocksWorld

Constant for the propositional function "on table" name
 PF_PLATFORM_ACTIVE  Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain

Constant for the name of the propositional function "platform is active"
 PF_TOUCH_SURFACE  Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Constant for the name of the propositional function that indicates whether the agent/lander is touching
an obstacle surface.
 PF_TOUTCH_PAD  Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Constant for the name of the propositional function that indicates whether the agent/lander is *touching* a landing pad.
 PF_WALL_EAST  Static variable in class burlap.domain.singleagent.gridworld.GridWorldDomain

Constant for the name of the wall to east propositional function
 PF_WALL_NORTH  Static variable in class burlap.domain.singleagent.gridworld.GridWorldDomain

Constant for the name of the wall to north propositional function
 PF_WALL_SOUTH  Static variable in class burlap.domain.singleagent.gridworld.GridWorldDomain

Constant for the name of the wall to south propositional function
 PF_WALL_WEST  Static variable in class burlap.domain.singleagent.gridworld.GridWorldDomain

Constant for the name of the wall to west propositional function
 PFFeatures  Class in burlap.behavior.functionapproximation.dense

 PFFeatures(OODomain)  Constructor for class burlap.behavior.functionapproximation.dense.PFFeatures

Initializes using all propositional functions that belong to the domain
 PFFeatures(List<PropositionalFunction>)  Constructor for class burlap.behavior.functionapproximation.dense.PFFeatures

Initializes using the list of given propositional functions.
 PFFeatures(PropositionalFunction[])  Constructor for class burlap.behavior.functionapproximation.dense.PFFeatures

Initializes using the array of given propositional functions.
 pfsToUse  Variable in class burlap.behavior.functionapproximation.dense.PFFeatures

 phiConstructor(double[], int)  Method in class burlap.behavior.singleagent.learning.lspi.LSPI

Constructs the stateaction feature vector as a SimpleMatrix
.
 physParams  Variable in class burlap.domain.singleagent.cartpole.CartPoleDomain

An object specifying the physics parameters for the cart pole domain.
 physParams  Variable in class burlap.domain.singleagent.cartpole.InvertedPendulum

 physParams  Variable in class burlap.domain.singleagent.cartpole.model.CPClassicModel

 physParams  Variable in class burlap.domain.singleagent.cartpole.model.CPCorrectModel

 physParams  Variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

An object for holding the physics parameters of this domain.
 physParams  Variable in class burlap.domain.singleagent.mountaincar.MountainCar.MCModel

 physParams  Variable in class burlap.domain.singleagent.mountaincar.MountainCar

The physics parameters for mountain car.
 pickupBlock(BlockDudeState)  Method in class burlap.domain.singleagent.blockdude.BlockDudeModel

Modifies state s to be the result of the pick up action.
 planContainsOption(SearchNode)  Method in class burlap.behavior.singleagent.planning.deterministic.DeterministicPlanner

Returns true if a solution path uses an option in its solution.
 planEndNode(SearchNode)  Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.IDAStar

Returns true if the search node wraps a goal state.
 planFromState(State)  Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling

Plans from the input state and returns a
BoltzmannQPolicy
following the
Boltzmann parameter used for value Botlzmann value backups in this planner.
 planFromState(State)  Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableVI

Plans from the input state and returns a
BoltzmannQPolicy
following the
Boltzmann parameter used for value Botlzmann value backups in this planner.
 planFromState(State)  Method in class burlap.behavior.singleagent.learning.actorcritic.ActorCritic

 planFromState(State)  Method in class burlap.behavior.singleagent.learning.lspi.LSPI

Plans from the input state and then returns a
GreedyQPolicy
that greedily
selects the action with the highest Qvalue and breaks ties uniformly randomly.
 planFromState(State)  Method in class burlap.behavior.singleagent.learning.tdmethods.QLearning

Plans from the input state and then returns a
GreedyQPolicy
that greedily
selects the action with the highest Qvalue and breaks ties uniformly randomly.
 planFromState(State)  Method in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam

Plans from the input state and then returns a
GreedyQPolicy
that greedily
selects the action with the highest Qvalue and breaks ties uniformly randomly.
 planFromState(State)  Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.DynamicWeightedAStar

 planFromState(State)  Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.IDAStar

 planFromState(State)  Method in class burlap.behavior.singleagent.planning.deterministic.informed.BestFirst

 planFromState(State)  Method in class burlap.behavior.singleagent.planning.deterministic.uninformed.bfs.BFS

 planFromState(State)  Method in class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.DFS

 planFromState(State)  Method in class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.LimitedMemoryDFS

 planFromState(State)  Method in interface burlap.behavior.singleagent.planning.Planner

This method will cause the
Planner
to begin planning from the specified initial
State
.
 planFromState(State)  Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT

Plans from the input state and then returns a
GreedyQPolicy
that greedily
selects the action with the highest Qvalue and breaks ties uniformly randomly.
 planFromState(State)  Method in class burlap.behavior.singleagent.planning.stochastic.policyiteration.PolicyIteration

Plans from the input state and then returns a
GreedyQPolicy
that greedily
selects the action with the highest Qvalue and breaks ties uniformly randomly.
 planFromState(State)  Method in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP

Plans from the input state and then returns a
GreedyQPolicy
that greedily
selects the action with the highest Qvalue and breaks ties uniformly randomly.
 planFromState(State)  Method in class burlap.behavior.singleagent.planning.stochastic.rtdp.RTDP

Plans from the input state and then returns a
GreedyQPolicy
that greedily
selects the action with the highest Qvalue and breaks ties uniformly randomly.
 planFromState(State)  Method in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling

Plans from the input state and then returns a
GreedyQPolicy
that greedily
selects the action with the highest Qvalue and breaks ties uniformly randomly.
 planFromState(State)  Method in class burlap.behavior.singleagent.planning.stochastic.valueiteration.ValueIteration

Plans from the input state and then returns a
GreedyQPolicy
that greedily
selects the action with the highest Qvalue and breaks ties uniformly randomly.
 planFromState(State)  Method in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI

Plans from the input state and then returns a
GreedyQPolicy
that greedily
selects the action with the highest Qvalue and breaks ties uniformly randomly.
 planFromState(State)  Method in class burlap.behavior.singleagent.pomdp.qmdp.QMDP

 planFromState(State)  Method in class burlap.behavior.singleagent.pomdp.wrappedmdpalgs.BeliefSparseSampling

 planFromState(State)  Method in class burlap.behavior.stochasticgames.madynamicprogramming.dpplanners.MAValueIteration

 planFromState(State)  Method in class burlap.behavior.stochasticgames.madynamicprogramming.MADynamicProgramming

Calling this method causes planning to be performed from State s.
 planHasDupilicateStates(SearchNode)  Method in class burlap.behavior.singleagent.planning.deterministic.DeterministicPlanner

Returns true if a solution path visits the same state multiple times.
 planner  Variable in class burlap.behavior.singleagent.learnfromdemo.IRLRequest

The planning algorithm used to compute the policy for a given reward function
 Planner  Interface in burlap.behavior.singleagent.planning

 planner  Variable in class burlap.behavior.stochasticgames.agents.madp.MultiAgentDPPlanningAgent

The valueFunction this agent will use to estiamte the value function and thereby determine its policy.
 plannerFactory  Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRLRequest

 plannerFactory  Variable in class burlap.behavior.stochasticgames.agents.madp.MADPPlanAgentFactory

 plannerReferece  Variable in class burlap.behavior.stochasticgames.agents.madp.MADPPlannerFactory.ConstantMADPPlannerFactory

 planningCollector  Variable in class burlap.behavior.singleagent.learning.lspi.LSPI

 planningDepth  Variable in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI

The
SparseSampling
planning depth used
for computing Bellman operators during value iteration.
 PlanningFailedException()  Constructor for exception burlap.behavior.singleagent.planning.deterministic.DeterministicPlanner.PlanningFailedException

 planningStarted  Variable in class burlap.behavior.stochasticgames.madynamicprogramming.MADynamicProgramming

Whether planning has begun or not.
 PlatformActivePF(String)  Constructor for class burlap.domain.singleagent.frostbite.FrostbiteDomain.PlatformActivePF

Initializes to be evaluated on an agent object and platform object.
 PlatformPainter(int)  Constructor for class burlap.domain.singleagent.frostbite.FrostbiteVisualizer.PlatformPainter

 platforms  Variable in class burlap.domain.singleagent.frostbite.state.FrostbiteState

 platformSpeed  Variable in class burlap.domain.singleagent.frostbite.FrostbiteModel

 pLayer  Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionVisualizerGUI

The policy renderer
 player  Variable in class burlap.domain.stochasticgames.gridgame.state.GGAgent

 playerIndex(String)  Method in class burlap.domain.stochasticgames.normalform.NFGameState

 players  Variable in class burlap.domain.stochasticgames.normalform.NFGameState

 plotCISignificance  Variable in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter

The signficance value for the confidence interval in the plots.
 plotCISignificance  Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter

The signficance value for the confidence interval in the plots.
 plotRefresh  Variable in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter

The delay in milliseconds between autmatic refreshes of the plots
 plotRefresh  Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter

The delay in milliseconds between autmatic refreshes of the plots
 plotter  Variable in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter

The PerformancePlotter used to collect and plot results
 plotter  Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter

The performance plotter object
 poDomain  Variable in class burlap.mdp.singleagent.pomdp.BeliefAgent

The POMDP Domain defining the environment mechanics.
 poDomain  Variable in class burlap.mdp.singleagent.pomdp.BeliefMDPGenerator.BeliefModel

 podomain  Variable in class burlap.mdp.singleagent.pomdp.BeliefMDPGenerator

The input POMDP domain
 PODomain  Class in burlap.mdp.singleagent.pomdp

A class for defining POMDP domains.
 PODomain()  Constructor for class burlap.mdp.singleagent.pomdp.PODomain

 poDomain  Variable in class burlap.mdp.singleagent.pomdp.SimulatedPOEnvironment

 poleFriction  Variable in class burlap.domain.singleagent.cartpole.CartPoleDomain.CPPhysicsParams

The friction between the pole and the joint on the cart.
 poleLength  Variable in class burlap.domain.singleagent.cartpole.InvertedPendulum.IPPhysicsParams

The length of the pole
 poleMass  Variable in class burlap.domain.singleagent.cartpole.CartPoleDomain.CPPhysicsParams

The mass of the pole.
 poleMass  Variable in class burlap.domain.singleagent.cartpole.InvertedPendulum.IPPhysicsParams

The mass of the pole.
 Policy  Interface in burlap.behavior.policy

An interface for defining a
Policy
.
 policy  Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.PolicyRenderLayer

The policy to use for visualizing the policy
 policy  Variable in class burlap.behavior.singleagent.learning.modellearning.artdp.ARTDP

the policy to follow
 policy(State, Episode)  Method in class burlap.behavior.singleagent.options.MacroAction

 policy(State, Episode)  Method in interface burlap.behavior.singleagent.options.Option

 policy  Variable in class burlap.behavior.singleagent.options.SubgoalOption

The policy of the options
 policy(State, Episode)  Method in class burlap.behavior.singleagent.options.SubgoalOption

 policy  Variable in class burlap.behavior.singleagent.pomdp.BeliefPolicyAgent

The policy that the agent will follow.
 policy  Variable in class burlap.behavior.stochasticgames.agents.madp.MADPPlanAgentFactory

 policy  Variable in class burlap.behavior.stochasticgames.agents.madp.MultiAgentDPPlanningAgent

The policy dervied from a joint policy derived from the valueFunction's value function estimate that this agent will follow.
 policy  Variable in class burlap.behavior.stochasticgames.agents.naiveq.SGNaiveQLAgent

The policy this agent follows
 policy  Variable in class burlap.behavior.stochasticgames.agents.SetStrategySGAgent

The policy encoding the strategy this agent will follow
 policy  Variable in class burlap.behavior.stochasticgames.agents.SetStrategySGAgent.SetStrategyAgentFactory

The strategy this agent will follow
 policyCount  Variable in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest

The maximum number of times a policy is rolled out and evaluated
 policyDistribution(State)  Method in class burlap.behavior.policy.BoltzmannQPolicy

 policyDistribution(State)  Method in class burlap.behavior.policy.CachedPolicy

 policyDistribution(State)  Method in interface burlap.behavior.policy.EnumerablePolicy

This method will return action probability distribution defined by the policy.
 policyDistribution(State)  Method in class burlap.behavior.policy.EpsilonGreedy

 policyDistribution(State)  Method in class burlap.behavior.policy.GreedyDeterministicQPolicy

 policyDistribution(State)  Method in class burlap.behavior.policy.GreedyQPolicy

 policyDistribution(State)  Method in class burlap.behavior.policy.RandomPolicy

 policyDistribution(State)  Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearning.StationaryRandomDistributionPolicy

 policyDistribution(State)  Method in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor

 policyDistribution(State)  Method in class burlap.behavior.singleagent.learning.modellearning.rmax.UnmodeledFavoredPolicy

 policyDistribution(State, Episode)  Method in class burlap.behavior.singleagent.options.MacroAction

 policyDistribution(State, Episode)  Method in interface burlap.behavior.singleagent.options.Option

 policyDistribution(State, Episode)  Method in class burlap.behavior.singleagent.options.SubgoalOption

 policyDistribution(State)  Method in class burlap.behavior.singleagent.planning.deterministic.DDPlannerPolicy

 policyDistribution(State)  Method in class burlap.behavior.singleagent.planning.deterministic.SDPlannerPolicy

 policyDistribution(State)  Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTTreeWalkPolicy

 policyDistribution(State)  Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.ECorrelatedQJointPolicy

 policyDistribution(State)  Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyJointPolicy

 policyDistribution(State)  Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyMaxWellfare

 policyDistribution(State)  Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EMinMaxPolicy

 policyDistribution(State)  Method in class burlap.behavior.stochasticgames.PolicyFromJointPolicy

 PolicyEvaluation  Class in burlap.behavior.singleagent.planning.stochastic.policyiteration

This class is used to compute the value function under some specified policy.
 PolicyEvaluation(SADomain, double, HashableStateFactory, double, double)  Constructor for class burlap.behavior.singleagent.planning.stochastic.policyiteration.PolicyEvaluation

Initializes.
 PolicyFromJointPolicy  Class in burlap.behavior.stochasticgames

This class defines a single agent's policy that is derived from a joint policy.
 PolicyFromJointPolicy(JointPolicy)  Constructor for class burlap.behavior.stochasticgames.PolicyFromJointPolicy

Initializes with the underlying joint polciy
 PolicyFromJointPolicy(JointPolicy, boolean)  Constructor for class burlap.behavior.stochasticgames.PolicyFromJointPolicy

Initializes with the underlying joint polciy and whether actions should be synchronized with other agents following the same underlying joint policy.
 PolicyFromJointPolicy(int, JointPolicy)  Constructor for class burlap.behavior.stochasticgames.PolicyFromJointPolicy

Initializes with the acting agent name whose actions from the underlying joint policy will be returned.
 PolicyFromJointPolicy(int, JointPolicy, boolean)  Constructor for class burlap.behavior.stochasticgames.PolicyFromJointPolicy

Initializes with the acting agent name whose actions from the underlying joint policy will be returned and
whether actions should be synchronized with other agents following the same underlying joint policy.
 PolicyGlyphPainter2D  Class in burlap.behavior.singleagent.auxiliary.valuefunctionvis.common

An class for rendering the policy for states by painting different glyphs for different actions.
 PolicyGlyphPainter2D()  Constructor for class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.PolicyGlyphPainter2D

 PolicyGlyphPainter2D.PolicyGlyphRenderStyle  Enum in burlap.behavior.singleagent.auxiliary.valuefunctionvis.common

MAXACTION paints only glphys for only those actions that have the highest likelihood
 PolicyIteration  Class in burlap.behavior.singleagent.planning.stochastic.policyiteration

 PolicyIteration(SADomain, double, HashableStateFactory, double, int, int)  Constructor for class burlap.behavior.singleagent.planning.stochastic.policyiteration.PolicyIteration

Initializes the valueFunction.
 PolicyIteration(SADomain, double, HashableStateFactory, double, double, int, int)  Constructor for class burlap.behavior.singleagent.planning.stochastic.policyiteration.PolicyIteration

Initializes the valueFunction.
 PolicyRenderLayer  Class in burlap.behavior.singleagent.auxiliary.valuefunctionvis

 PolicyRenderLayer(Collection<State>, StatePolicyPainter, Policy)  Constructor for class burlap.behavior.singleagent.auxiliary.valuefunctionvis.PolicyRenderLayer

 PolicyUndefinedException  Exception in burlap.behavior.policy.support

RuntimeException to be thrown when a Policy is queried for a state in which the policy is undefined.
 PolicyUndefinedException()  Constructor for exception burlap.behavior.policy.support.PolicyUndefinedException

 PolicyUtils  Class in burlap.behavior.policy

 policyValue(QProvider, State, EnumerablePolicy)  Static method in class burlap.behavior.valuefunction.QProvider.Helper

Returns the state value under a given policy for a state and
QProvider
.
 poll()  Method in class burlap.datastructures.HashIndexedHeap

Returns a pointer to the head of the heap and removes it
 poll()  Method in class burlap.datastructures.StochasticTree

Samples an element according to a probability defined by the relative weight of objects, removes it from the tree, and returns it.
 pollInterval  Variable in class burlap.shell.visual.VisualExplorer

 pollLearningRate(int, State, Action)  Method in class burlap.behavior.functionapproximation.dense.fourier.FourierBasisLearningRateWrapper

 pollLearningRate(int, int)  Method in class burlap.behavior.functionapproximation.dense.fourier.FourierBasisLearningRateWrapper

 pollLearningRate(int, State, Action)  Method in class burlap.behavior.learningrate.ConstantLR

 pollLearningRate(int, int)  Method in class burlap.behavior.learningrate.ConstantLR

 pollLearningRate(int, State, Action)  Method in class burlap.behavior.learningrate.ExponentialDecayLR

 pollLearningRate(int, int)  Method in class burlap.behavior.learningrate.ExponentialDecayLR

 pollLearningRate(int, State, Action)  Method in interface burlap.behavior.learningrate.LearningRate

A method for returning the learning rate for a given state action pair and then decaying the learning rate as defined by this class.
 pollLearningRate(int, int)  Method in interface burlap.behavior.learningrate.LearningRate

A method for returning the learning rate for a given state (action) feature and then decaying the learning rate as defined by this class.
 pollLearningRate(int, State, Action)  Method in class burlap.behavior.learningrate.SoftTimeInverseDecayLR

 pollLearningRate(int, int)  Method in class burlap.behavior.learningrate.SoftTimeInverseDecayLR

 polyDegree  Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.LandmarkColorBlendInterpolation

The power to raise the normalized distance
 pos  Variable in class burlap.domain.stochasticgames.gridgame.state.GGWall

 postPlanPrep()  Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.AStar

 postPlanPrep()  Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.DynamicWeightedAStar

 postPlanPrep()  Method in class burlap.behavior.singleagent.planning.deterministic.informed.BestFirst

This method is called at the end of the
BestFirst.planFromState(State)
method and can be used clean up any special
data structures needed by the subclass.
 potentialFunction  Variable in class burlap.behavior.singleagent.learning.modellearning.rmax.RMaxModel

 PotentialFunction  Interface in burlap.behavior.singleagent.shaping.potential

Defines an interface for reward potential functions.
 potentialFunction  Variable in class burlap.behavior.singleagent.shaping.potential.PotentialShapedRF

The potential function that can be used to return the potential reward from input states.
 PotentialShapedRF  Class in burlap.behavior.singleagent.shaping.potential

This class is used to implement Potentialbased reward shaping [1] which is guaranteed to preserve the optimal policy.
 PotentialShapedRF(RewardFunction, PotentialFunction, double)  Constructor for class burlap.behavior.singleagent.shaping.potential.PotentialShapedRF

Initializes the shaping with the objective reward function, the potential function, and the discount of the MDP.
 PotentialShapedRMax  Class in burlap.behavior.singleagent.learning.modellearning.rmax

Potential Shaped RMax [1] is a generalization of RMax in which a potentialshaped reward function is used to provide less (but still admissible)
optimistic views of unknown state transitions.
 PotentialShapedRMax(SADomain, double, HashableStateFactory, double, int, double, int)  Constructor for class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax

Initializes for a tabular model, VI valueFunction, and standard RMax paradigm
 PotentialShapedRMax(SADomain, double, HashableStateFactory, PotentialFunction, int, double, int)  Constructor for class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax

Initializes for a tabular model, VI valueFunction, and potential shaped function.
 PotentialShapedRMax(SADomain, HashableStateFactory, PotentialFunction, KWIKModel, ModelLearningPlanner)  Constructor for class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax

Initializes for a given model, model learning planner, and potential shaped function.
 PotentialShapedRMax.RMaxPotential  Class in burlap.behavior.singleagent.learning.modellearning.rmax

A potential function for vanilla RMax; all states have a potential value of R_max/(1gamma)
 potentialValue(State)  Method in class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax.RMaxPotential

 potentialValue(State)  Method in interface burlap.behavior.singleagent.shaping.potential.PotentialFunction

Returns the reward potential from the given state.
 preferenceLength()  Method in class burlap.datastructures.BoltzmannDistribution

Returns the number of elements on which there are preferences
 preferences  Variable in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor

A map from (hashed) states to Policy nodes; the latter of which contains the action preferences
for each applicable action in the state.
 preferences  Variable in class burlap.datastructures.BoltzmannDistribution

The preference values to turn into probabilities
 prePlanPrep()  Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.AStar

 prePlanPrep()  Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.DynamicWeightedAStar

 prePlanPrep()  Method in class burlap.behavior.singleagent.planning.deterministic.informed.BestFirst

This method is called at the start of the
BestFirst.planFromState(State)
method and can be used initialize any special
data structures needed by the subclass.
 printDebug  Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent

Whether to print debug statements.
 printOutResults()  Method in class burlap.mdp.stochasticgames.tournament.Tournament

Prints the tournament results by agent index and their cumulative reward received in the tournament.
 PrioritizedSearchNode  Class in burlap.behavior.singleagent.planning.deterministic.informed

An extension of the
SearchNode
class that includes
a priority value.
 PrioritizedSearchNode(HashableState, double)  Constructor for class burlap.behavior.singleagent.planning.deterministic.informed.PrioritizedSearchNode

Initializes a PrioritizedSearchNode for a given (hashed) input state and priority value.
 PrioritizedSearchNode(HashableState, Action, SearchNode, double)  Constructor for class burlap.behavior.singleagent.planning.deterministic.informed.PrioritizedSearchNode

Constructs a SearchNode for the input state and priority and sets the generating action and back pointer to the provided elements.
 PrioritizedSearchNode.PSNComparator  Class in burlap.behavior.singleagent.planning.deterministic.informed

A class for comparing the priority of two PrioritizedSearchNodes.
 PrioritizedSweeping  Class in burlap.behavior.singleagent.planning.stochastic.valueiteration

An implementation of Prioritized Sweeping as DP planning algorithm as described by Li and Littman [1].
 PrioritizedSweeping(SADomain, double, HashableStateFactory, double, int)  Constructor for class burlap.behavior.singleagent.planning.stochastic.valueiteration.PrioritizedSweeping

Initializes
 PrioritizedSweeping.BPTR  Class in burlap.behavior.singleagent.planning.stochastic.valueiteration

A back pointer and its max action probability of transition.
 PrioritizedSweeping.BPTRNode  Class in burlap.behavior.singleagent.planning.stochastic.valueiteration

A node for state thar contains a list of its back pointers, their max probability of transition to this state, and the priority of this nodes state.
 PrioritizedSweeping.BPTRNodeComparator  Class in burlap.behavior.singleagent.planning.stochastic.valueiteration

Comparator for the the priority of BPTRNodes
 priority  Variable in class burlap.behavior.singleagent.planning.deterministic.informed.PrioritizedSearchNode

The priority of the node used to order it for expansion.
 priority  Variable in class burlap.behavior.singleagent.planning.stochastic.valueiteration.PrioritizedSweeping.BPTRNode

 priorityCompare  Variable in class burlap.datastructures.HashIndexedHeap

A comparator to compare objects
 priorityNodes  Variable in class burlap.behavior.singleagent.planning.stochastic.valueiteration.PrioritizedSweeping

The priority queue of states
 probabilities(State, Action)  Method in class burlap.domain.singleagent.pomdp.tiger.TigerObservations

 probabilities(State, Action)  Method in interface burlap.mdp.singleagent.pomdp.observations.DiscreteObservationFunction

Returns the observation probability mass/density function for all observations that have nonzero mass/density conditioned on the true MDP state and previous action taken that led to the state.
 probabilitiesByEnumeration(DiscreteObservationFunction, State, Action)  Static method in class burlap.mdp.singleagent.pomdp.observations.ObservationUtilities

 probability  Variable in class burlap.behavior.singleagent.options.model.BFSMarkovOptionModel.OptionScanNode

the *un*discounted probability of reaching this search node
 probability  Variable in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.NodeTransitionProbability

The probability of transitioning to the resulting state
 probability(State, State, Action)  Method in class burlap.domain.singleagent.pomdp.tiger.TigerObservations

 probability(State, State, Action)  Method in interface burlap.mdp.singleagent.pomdp.observations.ObservationFunction

Returns the probability that an observation will be observed conditioned on the MDP state and previous action taken that led to the state.
 probabilityOfTermination(State, Episode)  Method in class burlap.behavior.singleagent.options.MacroAction

 probabilityOfTermination(State, Episode)  Method in interface burlap.behavior.singleagent.options.Option

 probabilityOfTermination(State, Episode)  Method in class burlap.behavior.singleagent.options.SubgoalOption

 probs  Variable in class burlap.datastructures.BoltzmannDistribution

The output probabilities
 produceRandomOffset(boolean[], double[])  Method in class burlap.behavior.functionapproximation.sparse.tilecoding.TileCodingFeatures

Creates and returns a random tiling offset for the given widths and required dimensions.
 produceUniformTilingsOffset(boolean[], double[], int, int)  Method in class burlap.behavior.functionapproximation.sparse.tilecoding.TileCodingFeatures

Creates and returns an offset that is uniformly spaced from other tilings.
 projectionType  Variable in class burlap.behavior.singleagent.learnfromdemo.RewardValueProjection

 propFunction(String)  Method in interface burlap.mdp.core.oo.OODomain

 propFunction(String)  Method in class burlap.mdp.singleagent.oo.OOSADomain

 propFunction(String)  Method in class burlap.mdp.stochasticgames.oo.OOSGDomain

 propFunctionMap  Variable in class burlap.mdp.singleagent.oo.OOSADomain

 propFunctionMap  Variable in class burlap.mdp.stochasticgames.oo.OOSGDomain

 propFunctions()  Method in interface burlap.mdp.core.oo.OODomain

Returns a list of the propositional functions that define this domain.
 propFunctions()  Method in class burlap.mdp.singleagent.oo.OOSADomain

 propFunctions()  Method in class burlap.mdp.stochasticgames.oo.OOSGDomain

 PropositionalFunction  Class in burlap.mdp.core.oo.propositional

The propositional function class defines evaluations of object instances in an OOMDP state and are part of the definition for an OOMDP domain.
 PropositionalFunction(String, String[])  Constructor for class burlap.mdp.core.oo.propositional.PropositionalFunction

Initializes a propositional function with the given name and parameter object classes.
 PropositionalFunction(String, String[], String[])  Constructor for class burlap.mdp.core.oo.propositional.PropositionalFunction

Initializes a propositional function with the given name, parameter object classes, and the parameter order groups of the parameters.
 propViewer  Variable in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer

 propViewer  Variable in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer

 propViewer  Variable in class burlap.shell.visual.SGVisualExplorer

 propViewer  Variable in class burlap.shell.visual.VisualExplorer

 providesStateEnumerator()  Method in class burlap.mdp.singleagent.pomdp.PODomain

 pSelection  Variable in class burlap.behavior.policy.support.ActionProb

The probability of the action being selected.
 PSNComparator()  Constructor for class burlap.behavior.singleagent.planning.deterministic.informed.PrioritizedSearchNode.PSNComparator

 put(int, double)  Method in interface burlap.behavior.functionapproximation.FunctionGradient

Adds the partial derivative for a given weight
 put(int, double)  Method in class burlap.behavior.functionapproximation.FunctionGradient.SparseGradient

 put(int, int)  Method in class burlap.behavior.functionapproximation.sparse.SparseCrossProductFeatures.FeaturesMap

 put(String, int)  Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.ActionNameMap

 putdownBlock(BlockDudeState)  Method in class burlap.domain.singleagent.blockdude.BlockDudeModel

Modifies state s to put down the block the agent is holding.