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

G

ga - Variable in class burlap.behavior.functionapproximation.sparse.tilecoding.TileCodingFeatures.ActionFeatureID

ga - Variable in class burlap.behavior.policy.support.ActionProb

The action to be considered.

GameCommand - Class in burlap.shell.command.world

A ShellCommand for starting a game with the agents registered in a World.

GameCommand() - Constructor for class burlap.shell.command.world.GameCommand

gameEnding(State) - Method in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter

gameEnding(State) - Method in class burlap.mdp.stochasticgames.common.VisualWorldObserver

gameEnding(State) - Method in interface burlap.mdp.stochasticgames.world.WorldObserver

This method is called whenever a game in a world ends.

gameEnding(State) - Method in class burlap.shell.visual.SGVisualExplorer

GameEpisode - Class in burlap.behavior.stochasticgames

This class provides a means to record all the interactions in a stochastic game; specifically, the sequence of states, joint actions taken, and joint reward received.

GameEpisode() - Constructor for class burlap.behavior.stochasticgames.GameEpisode

Initialzes the datastructures.

GameEpisode(State) - Constructor for class burlap.behavior.stochasticgames.GameEpisode

Initializes with an initial state of the game.

gameHeight - Variable in class burlap.domain.singleagent.frostbite.FrostbiteModel

gameHeight - Variable in class burlap.domain.singleagent.frostbite.FrostbiteVisualizer.IglooPainter

gameIsRunning() - Method in class burlap.mdp.stochasticgames.world.World

Returns whether a game in this world is currently running.

GameSequenceVisualizer - Class in burlap.behavior.stochasticgames.auxiliary

This class is used to visualize a set of games that have been saved to files in a common directory or which are provided to the object as a list of GameEpisode objects.

GameSequenceVisualizer(Visualizer, SGDomain, String) - Constructor for class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer

Initializes the GameSequenceVisualizer.

GameSequenceVisualizer(Visualizer, SGDomain, List<GameEpisode>) - Constructor for class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer

Initializes the GameSequenceVisualizer with programatially supplied list of GameEpisode objects to view.

GameSequenceVisualizer(Visualizer, SGDomain, String, int, int) - Constructor for class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer

Initializes the GameSequenceVisualizer.

GameSequenceVisualizer(Visualizer, SGDomain, List<GameEpisode>, int, int) - Constructor for class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer

Initializes the GameSequenceVisualizer with programmatially supplied list of GameEpisode objects to view.

gameStarting(World, int) - Method in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface

gameStarting(World, int) - Method in class burlap.behavior.stochasticgames.agents.madp.MultiAgentDPPlanningAgent

gameStarting(World, int) - Method in class burlap.behavior.stochasticgames.agents.maql.MultiAgentQLearning

gameStarting(World, int) - Method in class burlap.behavior.stochasticgames.agents.naiveq.history.SGQWActionHistory

gameStarting(World, int) - Method in class burlap.behavior.stochasticgames.agents.naiveq.SGNaiveQLAgent

gameStarting(World, int) - Method in class burlap.behavior.stochasticgames.agents.RandomSGAgent

gameStarting(World, int) - Method in class burlap.behavior.stochasticgames.agents.SetStrategySGAgent

gameStarting(World, int) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.GrimTrigger

gameStarting(World, int) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.TitForTat

gameStarting(World, int) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.EquilibriumPlayingSGAgent

gameStarting(State) - Method in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter

gameStarting(World, int) - Method in interface burlap.mdp.stochasticgames.agent.SGAgent

This method is called by the world when a new game is starting.

gameStarting(State) - Method in class burlap.mdp.stochasticgames.common.VisualWorldObserver

gameStarting(State) - Method in interface burlap.mdp.stochasticgames.world.WorldObserver

This method is called whenever a new game in a world is starting.

gameStarting(World, int) - Method in class burlap.shell.command.world.ManualAgentsCommands.ManualSGAgent

gameStarting(State) - Method in class burlap.shell.visual.SGVisualExplorer

gameTerminated() - Method in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface

gameTerminated() - Method in class burlap.behavior.stochasticgames.agents.madp.MultiAgentDPPlanningAgent

gameTerminated() - Method in class burlap.behavior.stochasticgames.agents.maql.MultiAgentQLearning

gameTerminated() - Method in class burlap.behavior.stochasticgames.agents.naiveq.SGNaiveQLAgent

gameTerminated() - Method in class burlap.behavior.stochasticgames.agents.RandomSGAgent

gameTerminated() - Method in class burlap.behavior.stochasticgames.agents.SetStrategySGAgent

gameTerminated() - Method in class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.GrimTrigger

gameTerminated() - Method in class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.TitForTat

gameTerminated() - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.EquilibriumPlayingSGAgent

gameTerminated() - Method in interface burlap.mdp.stochasticgames.agent.SGAgent

This method is called by the world when a game has ended.

gameTerminated() - Method in class burlap.shell.command.world.ManualAgentsCommands.ManualSGAgent

gameWidth - Variable in class burlap.domain.singleagent.frostbite.FrostbiteModel

gameWidth - Variable in class burlap.domain.singleagent.frostbite.FrostbiteVisualizer.IglooPainter

gamma - Variable in class burlap.behavior.singleagent.learnfromdemo.IRLRequest

The discount factor of the problem

gamma - Variable in class burlap.behavior.singleagent.learning.modellearning.rmax.RMaxModel

gamma - Variable in class burlap.behavior.singleagent.MDPSolver

The MDP discount factor

GaussianRBF - Class in burlap.behavior.functionapproximation.dense.rbf.functions

An RBF whose response is dictated by a Gaussian kernel.

GaussianRBF(double[], DistanceMetric, double) - Constructor for class burlap.behavior.functionapproximation.dense.rbf.functions.GaussianRBF

Initializes.

GaussianRBF(double[], double) - Constructor for class burlap.behavior.functionapproximation.dense.rbf.functions.GaussianRBF

Initializes using an EuclideanDistance distance metric.

gc - Variable in class burlap.behavior.singleagent.planning.deterministic.DeterministicPlanner

This State condition test should return true for goal states and false for non-goal states.

gc - Variable in class burlap.mdp.singleagent.common.GoalBasedRF

GDSLInit(SADomain, double, DifferentiableStateActionValue, double, Policy, int, double) - Method in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam

Initializes SARSA(\lambda) By default the agent will only save the last learning episode and a call to the GradientDescentSarsaLam.planFromState(State) method will cause the valueFunction to use only one episode for planning; this should probably be changed to a much larger value if you plan on using this algorithm as a planning algorithm.

GeneralBimatrixSolverTools - Class in burlap.behavior.stochasticgames.solvers

A class holding static methods for performing common operations on bimatrix games.

generate(Action) - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTActionNode.UCTActionConstructor

Returns a UCTActionNode Object that wraps the given action

generate(HashableState, int, List<ActionType>, UCTActionNode.UCTActionConstructor) - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTStateNode.UCTStateConstructor

Generates an instance of a UCTStateNode

generateAction(String[]) - Method in class burlap.mdp.singleagent.oo.ObjectParameterizedActionType

generateAgent() - Method in interface burlap.behavior.singleagent.learning.LearningAgentFactory

Generates a new LearningAgent object and returns it.

generateAgent(String, SGAgentType) - Method in class burlap.behavior.stochasticgames.agents.madp.MADPPlanAgentFactory

generateAgent(String, SGAgentType) - Method in class burlap.behavior.stochasticgames.agents.maql.MAQLFactory

generateAgent(String, SGAgentType) - Method in class burlap.behavior.stochasticgames.agents.naiveq.history.SGQWActionHistoryFactory

generateAgent(String, SGAgentType) - Method in class burlap.behavior.stochasticgames.agents.naiveq.SGNaiveQFactory

generateAgent(String, SGAgentType) - Method in class burlap.behavior.stochasticgames.agents.SetStrategySGAgent.SetStrategyAgentFactory

generateAgent(String, SGAgentType) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.GrimTrigger.GrimTriggerAgentFactory

generateAgent(String, SGAgentType) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.TitForTat.TitForTatAgentFactory

generateAgent(String, SGAgentType) - Method in interface burlap.mdp.stochasticgames.agent.AgentFactory

Generates a new SGAgent

generateAgent(String, SGAgentType) - Method in class burlap.mdp.stochasticgames.common.AgentFactoryWithSubjectiveReward

generateAgentType(int) - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

generateAllLocationSetsHelper(List<List<GridGameStandardMechanics.Location2Prob>>, int, GridGameStandardMechanics.Location2[], double, List<GridGameStandardMechanics.LocationSetProb>) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics

This method will recursively generate all possible joint location outcomes for a list of possible outcomes for each agent

generateAllPossibleCollisionWinnerAssignments(List<List<Integer>>, int, int[], List<List<Integer>>) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics

generateCoefficientVectors() - Method in class burlap.behavior.functionapproximation.dense.fourier.FourierBasis

Generates all coefficient vectors given the number of state variables and the maximum number of non-zero coefficient element entries.

generateCoefficientVectorsHelper(int, short[], int) - Method in class burlap.behavior.functionapproximation.dense.fourier.FourierBasis

Recursive cofficient generator helper method.

generateDifferentiablePlannerForRequest(MLIRLRequest) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.support.QGradientPlannerFactory.DifferentiableVIFactory

generateDifferentiablePlannerForRequest(MLIRLRequest) - Method in interface burlap.behavior.singleagent.learnfromdemo.mlirl.support.QGradientPlannerFactory

Returns a DifferentiableQFunction for an MLIRLRequest object's domain, reward function, discount factor, and Boltzmann beta parameter.

generateDomain() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain

generateDomain() - Method in class burlap.domain.singleagent.blockdude.BlockDude

generateDomain() - Method in class burlap.domain.singleagent.blocksworld.BlocksWorld

generateDomain() - Method in class burlap.domain.singleagent.cartpole.CartPoleDomain

generateDomain() - Method in class burlap.domain.singleagent.cartpole.InvertedPendulum

generateDomain() - Method in class burlap.domain.singleagent.frostbite.FrostbiteDomain

Creates a new frostbite domain.

generateDomain() - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain

generateDomain() - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain

generateDomain() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

generateDomain() - Method in class burlap.domain.singleagent.mountaincar.MountainCar

generateDomain() - Method in class burlap.domain.singleagent.pomdp.tiger.TigerDomain

generateDomain() - Method in class burlap.domain.stochasticgames.gridgame.GridGame

generateDomain() - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

generateDomain() - Method in interface burlap.mdp.auxiliary.DomainGenerator

Returns a newly instanced Domain object

generateDomain() - Method in class burlap.mdp.singleagent.pomdp.BeliefMDPGenerator

generateGaussianRBFsForStates(List<State>, DenseStateFeatures, DistanceMetric, double) - Static method in class burlap.behavior.functionapproximation.dense.rbf.functions.GaussianRBF

Creates a List of GaussianRBF units for each State provided using the given DenseStateFeatures, metric, and epsilon value.

generateGaussianRBFsForStates(List<State>, DenseStateFeatures, double) - Static method in class burlap.behavior.functionapproximation.dense.rbf.functions.GaussianRBF

Creates a List of GaussianRBF units for each State provided using the given DenseStateFeatures, and epsilon value and using a default EuclideanDistance metric for all units.

generateKey(Object) - Static method in class burlap.mdp.core.oo.state.OOStateUtilities

Generates an OOVariableKey from a key that is either already an OOVariableKey or a string representation of one.

generateLargeGW(SADomain, int) - Method in class burlap.testing.TestHashing

generateNewCurrentState() - Method in class burlap.mdp.stochasticgames.world.World

Causes the world to set the current state to a state generated by the provided StateGenerator object if a game is not currently running.

generatePfs() - Method in class burlap.domain.singleagent.blockdude.BlockDude

generatePfs() - Method in class burlap.domain.singleagent.blocksworld.BlocksWorld

generatePFs() - Method in class burlap.domain.singleagent.frostbite.FrostbiteDomain

generatePfs() - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain

generatePfs() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

generateRandomPolicy(SADomain) - Static method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearning.StationaryRandomDistributionPolicy

generateRandomStates(SADomain, State, HashableStateFactory, int, int, boolean) - Method in class burlap.testing.TestHashing

generateReserved() - Method in class burlap.shell.BurlapShell

generateRewardFunction(DenseStateFeatures, ApprenticeshipLearning.FeatureWeights) - Static method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearning

Generates an anonymous instance of a reward function derived from a FeatureMapping and associated feature weights Computes (w^(i))T phi from step 4 in section 3

generateStandard() - Method in class burlap.shell.BurlapShell

generateStandard() - Method in class burlap.shell.EnvironmentShell

generateStandard() - Method in class burlap.shell.SGWorldShell

generateState() - Method in class burlap.domain.singleagent.mountaincar.MCRandomStateGenerator

generateState() - Method in class burlap.domain.stochasticgames.normalform.NFGameState

generateState() - Method in class burlap.mdp.auxiliary.common.ConstantStateGenerator

generateState() - Method in class burlap.mdp.auxiliary.common.RandomStartStateGenerator

generateState() - Method in interface burlap.mdp.auxiliary.StateGenerator

Returns a new state object.

generateState() - Method in class burlap.testing.TestBlockDude

generateState() - Method in class burlap.testing.TestGridWorld

GenerateStateCommand - Class in burlap.shell.command.world

A ShellCommand for generating a new state in a World according to the World's assigned StateGenerator.

GenerateStateCommand() - Constructor for class burlap.shell.command.world.GenerateStateCommand

generateStates(SADomain, State, HashableStateFactory, int) - Method in class burlap.testing.TestHashing

generateVFA(double) - Method in class burlap.behavior.functionapproximation.dense.fourier.FourierBasis

Creates and returns a linear VFA object over this Fourier basis feature database.

generateVFA(double) - Method in class burlap.behavior.functionapproximation.dense.rbf.RBFFeatures

Creates and returns a linear VFA object over this RBF feature database.

generateVFA(double) - Method in class burlap.behavior.functionapproximation.sparse.tilecoding.TileCodingFeatures

After all the tiling specifications have been set, this method can be called to produce a linear VFA object.

generateWorld() - Method in class burlap.mdp.stochasticgames.tournament.common.ConstantWorldGenerator

generateWorld() - Method in interface burlap.mdp.stochasticgames.world.WorldGenerator

Generates a new World instance.

generatingAction - Variable in class burlap.behavior.singleagent.planning.deterministic.SearchNode

The action that generated this state in the previous state.

GenericOOState - Class in burlap.mdp.core.oo.state.generic

A generic implementation of a OOState.

GenericOOState() - Constructor for class burlap.mdp.core.oo.state.generic.GenericOOState

GenericOOState(OOState) - Constructor for class burlap.mdp.core.oo.state.generic.GenericOOState

GenericOOState(ObjectInstance...) - Constructor for class burlap.mdp.core.oo.state.generic.GenericOOState

genInd(Object) - Method in class burlap.domain.stochasticgames.normalform.NFGameState

get(Object) - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueState

get(int) - Method in class burlap.behavior.singleagent.learning.lspi.SARSData

Returns the SARSData.SARS tuple for the ith dataset element.

get(Object) - Method in class burlap.behavior.stochasticgames.agents.naiveq.history.HistoryState

get(Object) - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeAgent

get(Object) - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeCell

get(Object) - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeMap

get(Object) - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeState

get(Object) - Method in class burlap.domain.singleagent.blocksworld.BlocksWorldBlock

get(Object) - Method in class burlap.domain.singleagent.blocksworld.BlocksWorldState

get(Object) - Method in class burlap.domain.singleagent.cartpole.states.CartPoleFullState

get(Object) - Method in class burlap.domain.singleagent.cartpole.states.CartPoleState

get(Object) - Method in class burlap.domain.singleagent.cartpole.states.InvertedPendulumState

get(Object) - Method in class burlap.domain.singleagent.frostbite.state.FrostbiteAgent

get(Object) - Method in class burlap.domain.singleagent.frostbite.state.FrostbiteIgloo

get(Object) - Method in class burlap.domain.singleagent.frostbite.state.FrostbitePlatform

get(Object) - Method in class burlap.domain.singleagent.frostbite.state.FrostbiteState

get(Object) - Method in class burlap.domain.singleagent.graphdefined.GraphStateNode

get(Object) - Method in class burlap.domain.singleagent.gridworld.state.GridAgent

get(Object) - Method in class burlap.domain.singleagent.gridworld.state.GridLocation

get(Object) - Method in class burlap.domain.singleagent.gridworld.state.GridWorldState

get(Object) - Method in class burlap.domain.singleagent.lunarlander.state.LLAgent

get(Object) - Method in class burlap.domain.singleagent.lunarlander.state.LLBlock

get(Object) - Method in class burlap.domain.singleagent.lunarlander.state.LLState

get(Object) - Method in class burlap.domain.singleagent.mountaincar.MCState

get(Object) - Method in class burlap.domain.singleagent.pomdp.tiger.TigerObservation

get(Object) - Method in class burlap.domain.singleagent.pomdp.tiger.TigerState

get(Object) - Method in class burlap.domain.stochasticgames.gridgame.state.GGAgent

get(Object) - Method in class burlap.domain.stochasticgames.gridgame.state.GGGoal

get(Object) - Method in class burlap.domain.stochasticgames.gridgame.state.GGWall

get(Object) - Method in class burlap.domain.stochasticgames.normalform.NFGameState

get(String) - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.ActionNameMap

get(Object) - Method in class burlap.mdp.core.oo.state.generic.GenericOOState

get(OOState, Object) - Static method in class burlap.mdp.core.oo.state.OOStateUtilities

Returns the value of an ObjectInstance variable, where the key is a OOVariableKey or a string representation of an OOVariableKey.

get(Object) - Method in class burlap.mdp.core.state.NullState

get(Object) - Method in interface burlap.mdp.core.state.State

Returns the value for the given variable key.

get(Object) - Method in class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefState

getA() - Method in class burlap.behavior.singleagent.learning.actorcritic.CritiqueResult

Returns the action of this behavior.

getActingAgent() - Method in class burlap.behavior.stochasticgames.PolicyFromJointPolicy

Returns the acting agent

getAction(BeliefState) - Method in class burlap.behavior.singleagent.pomdp.BeliefPolicyAgent

getAction(BeliefState) - Method in class burlap.mdp.singleagent.pomdp.BeliefAgent

Returns the action the agent should take for the input BeliefState.

getAction(String) - Method in class burlap.mdp.singleagent.SADomain

Returns the ActionType in this domain with the given type name, or null if one does not exist.

getActionLearningRateEntry(Action) - Method in class burlap.behavior.learningrate.ExponentialDecayLR.StateWiseLearningRate

Returns the mutable double entry for the learning rate for the action for the state with which this object is associated.

getActionModel() - Method in class burlap.mdp.stochasticgames.world.World

Returns the JointModel used in this world.

getActionOffset(Action) - Method in class burlap.behavior.functionapproximation.dense.DenseCrossProductFeatures

getActionOffset(Action) - Method in class burlap.behavior.functionapproximation.dense.DenseLinearVFA

getActionOffset() - Method in class burlap.behavior.functionapproximation.dense.DenseLinearVFA

Returns the Map of feature index offsets into the full feature vector for each action

getActions() - Method in class burlap.mdp.stochasticgames.JointAction

Returns a list of the actions in this joint action.

getActionSequence() - Method in class burlap.behavior.singleagent.options.MacroAction

getActionsTypes() - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.RMaxModel

getActionTimeIndexEntry(Action) - Method in class burlap.behavior.learningrate.SoftTimeInverseDecayLR.StateWiseTimeIndex

Returns the mutable int entry for the time index for the action for the state with which this object is associated.

getActionType(String) - Method in class burlap.mdp.stochasticgames.SGDomain

getActionTypes() - Method in class burlap.behavior.singleagent.MDPSolver

getActionTypes() - Method in interface burlap.behavior.singleagent.MDPSolverInterface

Returns a copy of all actions this solver uses for reasoning; including added actions that are not part of the domain specification (e.g., Options).

getActionTypes() - Method in class burlap.mdp.singleagent.SADomain

Returns the ActionTypes associated with this domain.

getActionTypes() - Method in class burlap.mdp.stochasticgames.SGDomain

getAgentDefinitions() - Method in class burlap.mdp.stochasticgames.world.World

Returns the agent definitions for the agents registered in this world.

getAgentName() - Method in interface burlap.behavior.singleagent.learning.LearningAgentFactory

Will return a name to identify the kind of agent that will be generated by this factory.

getAgentsInJointPolicy() - Method in class burlap.behavior.stochasticgames.JointPolicy

Returns a map specifying the agents who contribute actions to this joint policy.

getAgentSynchronizedActionSelection(int, State) - Method in class burlap.behavior.stochasticgames.JointPolicy

This method returns the action for a single agent by a synchronized sampling of this joint policy, which enables multiple agents to query this policy object and act according to the same selected joint actions from it.

getAliases() - Method in class burlap.shell.BurlapShell

getAllJointActions(State) - Method in class burlap.behavior.stochasticgames.JointPolicy

Returns all possible joint actions that can be taken in state s for the set of agents defined to be used in this joint policy.

getAllJointActions(State, List<SGAgent>) - Static method in class burlap.mdp.stochasticgames.JointAction

getAllJointActionsFromTypes(State, List<SGAgentType>) - Static method in class burlap.mdp.stochasticgames.JointAction

getAllLocationSets(List<List<GridGameStandardMechanics.Location2Prob>>) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics

Takes a list of possible location outcomes for each agent and generates all joint location outcomes

getAllPossibleCollisionWinnerAssignment(Map<Integer, List<Integer>>) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics

getAllStates() - Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming

This method will return all states that are stored in this planners value function.

getAllStoredLearningEpisodes() - Method in class burlap.behavior.singleagent.learning.actorcritic.ActorCritic

getAllStoredLearningEpisodes() - Method in class burlap.behavior.singleagent.learning.lspi.LSPI

getAllStoredLearningEpisodes() - Method in class burlap.behavior.singleagent.learning.modellearning.artdp.ARTDP

getAllStoredLearningEpisodes() - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax

getAllSuccessors() - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTActionNode

Returns a list of all successor nodes observed

getAnginc() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Returns how many radians the agent will rotate from its current orientation when a turn/rotate action is applied

getAnginc() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.LLPhysicsParams

getAngle2ndDeriv(double, double, double, double, double) - Method in class burlap.domain.singleagent.cartpole.model.CPCorrectModel

Computes the 2nd order derivative of the angle for a given normal force sign using the corrected model.

getAngmax() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Returns the maximum rotate angle (in radians) that the lander can be rotated from the vertical orientation in either clockwise or counterclockwise direction.

getAngmax() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.LLPhysicsParams

getAvgTime() - Method in class burlap.debugtools.MyTimer

Returns the average time in seconds recorded over all start-stop calls.

getBattleOfTheSexes1() - Static method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

Returns an instance of Battle of the Sexes 1, which is defined by:

getBattleOfTheSexes2() - Static method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

Returns an instance of Battle of the Sexes 2, which is defined by:

getBeliefMDP() - Method in class burlap.behavior.singleagent.pomdp.wrappedmdpalgs.BeliefSparseSampling

Returns the generated Belief MDP that will be solved.

getBeliefValues() - Method in class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefState

getBeta() - Method in class burlap.behavior.singleagent.planning.stochastic.dpoperator.SoftmaxOperator

getBgColor() - Method in class burlap.visualizer.MultiLayerRenderer

Returns the background color of the renderer

getBlockAt(BlockDudeState, int, int) - Method in class burlap.domain.singleagent.blockdude.BlockDudeModel

Finds a block object in the State located at the provided position and returns it

getBoltzmannBeta() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MLIRLRequest

getBrowser() - Method in class burlap.shell.command.env.EpisodeRecordingCommands

getC() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling

Returns the number of state transition samples

getC() - Method in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling

Returns the number of state transition samples

getCartPoleStateRenderLayer() - Static method in class burlap.domain.singleagent.cartpole.CartPoleVisualizer

Returns a StateRenderLayer for cart pole.

getCartPoleVisualizer() - Static method in class burlap.domain.singleagent.cartpole.CartPoleVisualizer

Returns a visualizer for cart pole.

getCAtHeight(int) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling

Returns the value of C for a node at the given height (height from a leaf node).

getCAtHeight(int) - Method in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling

Returns the value of C for a node at the given height (height from a leaf node).

getChicken() - Static method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

Returns an instance of Chicken, which is defined by:

getCI(DescriptiveStatistics, double) - Static method in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter

Returns the confidence interval for the specified significance level

getCI(DescriptiveStatistics, double) - Static method in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter

Returns the confidence interval for the specified significance level

getClassName() - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeCell

getClusterPriors() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL

Returns the behavior cluster prior probabilities.

getClusterRFs() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL

Returns the DifferentiableRF obejcts defining each behavior cluster.

getCoefficientVector(int) - Method in class burlap.behavior.functionapproximation.dense.fourier.FourierBasis

Returns the coefficient vector for the given basis function index.

getColissionSets(List<GridGameStandardMechanics.Location2>) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics

Returns with whom each agent is in a collision competition for a cell.

getCollisionReward() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderRF

getColPlayersStrategy(double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.MinMaxSolver

Computes the minmax strategy for the column player of the given payoff matrix.

getCommands() - Method in class burlap.shell.BurlapShell

getComputedPolicy() - Method in class burlap.behavior.singleagent.planning.stochastic.policyiteration.PolicyIteration

Returns the policy that was last computed (or the initial policy if no planning has been performed).

getConfig() - Method in class burlap.statehashing.masked.MaskedHashableStateFactory

getControlDepth() - Method in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI

Returns the Bellman operator depth used for computing Q-values (the FittedVI.qValue(State, Action) and FittedVI.qValue(State, Action) methods).

getCopyOfValueFunction() - Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming

getCorrdinationGameInitialState() - Static method in class burlap.domain.stochasticgames.gridgame.GridGame

Returns the initial state for a classic coordination game, where the agent's personal goals are on opposite sides.

getCorrectDoorReward() - Method in class burlap.domain.singleagent.pomdp.tiger.TigerDomain

getCorrelatedEQJointStrategy(CorrelatedEquilibriumSolver.CorrelatedEquilibriumObjective, double[][], double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver

Returns the correlated equilibrium joint strategy in a 2D double matrix, which represents the probability of each joint actino (where rows are player 1s actions and columns are player 2's actions).

getCorrelatedEQJointStrategyEgalitarian(double[][], double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver

Returns the correlated equilibrium joint strategy in a 2D double matrix for the Egalitarian objective.

getCorrelatedEQJointStrategyLibertarianForCol(double[][], double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver

Returns the correlated equilibrium joint strategy in a 2D double matrix for the Libertarian objective.

getCorrelatedEQJointStrategyLibertarianForRow(double[][], double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver

Returns the correlated equilibrium joint strategy in a 2D double matrix for the Libertarian objective.

getCorrelatedEQJointStrategyRepublican(double[][], double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver

Returns the correlated equilibrium joint strategy in a 2D double matrix for the Republican objective.

getCorrelatedEQJointStrategyUtilitarian(double[][], double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver

Returns the correlated equilibrium joint strategy in a 2D double matrix for the Utilitarian objective.

getCritique() - Method in class burlap.behavior.singleagent.learning.actorcritic.CritiqueResult

Returns the critique of this behavior.

getCumulativeRewardFor(int) - Method in class burlap.mdp.stochasticgames.tournament.Tournament

Returns the cumulative reward received by the agent who is indexed at position i

getCumulativeRewardForAgent(String) - Method in class burlap.mdp.stochasticgames.world.World

Returns the cumulative reward that the agent with name aname has received across all interactions in this world.

getCurrentHiddenState() - Method in class burlap.mdp.singleagent.pomdp.SimulatedPOEnvironment

Returns the current hidden state of this Environment.

getCurrentWorldState() - Method in class burlap.mdp.stochasticgames.world.World

Returns the current world state

getCurState() - Method in class burlap.visualizer.StateRenderLayer

getCurTime() - Method in class burlap.behavior.singleagent.learning.actorcritic.critics.TimeIndexedTDLambda

Returns the current time/depth of the current episodes

getDataset() - Method in class burlap.behavior.singleagent.learning.lspi.LSPI

Returns the dataset this object uses for LSPI

getDebugCode() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent

getDebugCode() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling

Returns the debug code used for logging plan results with DPrint.

getDebugCode() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MLIRL

Returns the debug code used for printing to the terminal

getDebugCode() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRL

Returns the debug code used for printing to the terminal

getDebugCode() - Method in class burlap.behavior.singleagent.MDPSolver

getDebugCode() - Method in interface burlap.behavior.singleagent.MDPSolverInterface

Returns the debug code used by this solver for calls to DPrint

getDebugCode() - Method in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling

Returns the debug code used for logging plan results with DPrint.

getDebugId() - Method in class burlap.mdp.stochasticgames.world.World

This class will report execution information as games are played using the DPrint class.

getDeepCopyOfPayoutArray(SingleStageNormalFormGame.AgentPayoutFunction[]) - Static method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.AgentPayoutFunction

getDefault() - Static method in class burlap.debugtools.RandomFactory

Returns the default random number generator.

getDefaultReward() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderRF

getDefaultReward() - Method in class burlap.mdp.singleagent.common.GoalBasedRF

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

Returns the default V-value to use for the state

getDefaultWeight() - Method in class burlap.behavior.functionapproximation.dense.DenseLinearVFA

getDelegateImplementing(Environment, Class<?>) - Static method in class burlap.mdp.singleagent.environment.extensions.EnvironmentDelegation.Helper

Returns the Environment or Environment delegate that implements the class/interface type, or null if none do.

getDiscountFactor() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent

Returns the discount factor for this environment.

getDomain() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent

Returns the domain for this environment.

getDomain() - Method in class burlap.behavior.singleagent.learnfromdemo.IRLRequest

getDomain() - Method in class burlap.behavior.singleagent.MDPSolver

getDomain() - Method in interface burlap.behavior.singleagent.MDPSolverInterface

Returns the Domain this solver solves.

getDomain() - Method in class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefState

getDomain() - Method in class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefUpdate

getDomain() - Method in class burlap.mdp.stochasticgames.world.World

getDomain() - Method in class burlap.shell.BurlapShell

getDomain() - Method in class burlap.testing.TestGridWorld

getEgalitarianObjective(double[][], double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver

Returns the egalitarian objective for the given payoffs for the row and column player.

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

Get or create and get the enumeration id for a state

getEnumeratedID(HashableState) - Method in class burlap.behavior.singleagent.auxiliary.StateEnumerator

Get or create and get the enumeration id for a hashed state

getEnv() - Method in class burlap.shell.EnvironmentShell

getEnvironmentDelegate() - Method in interface burlap.mdp.singleagent.environment.extensions.EnvironmentDelegation

Returns the Environment delegate that handles Environment functionality

getEnvironmentDelegate() - Method in class burlap.mdp.singleagent.environment.extensions.EnvironmentServer

Returns the Environment delegate that handles all Environment functionality

getEpisodeWeights() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MLIRLRequest

Returns expert episodes weights.

getEpsilon() - Method in class burlap.behavior.policy.EpsilonGreedy

Returns the epsilon value, where epsilon is the probability of taking a random action.

getEpsilon() - Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest

getExpertEpisodes() - Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest

getExpertEpisodes() - Method in class burlap.behavior.singleagent.learnfromdemo.IRLRequest

getFeatureGenerator() - Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest

getFeatureWiseLearningRate(int) - Method in class burlap.behavior.learningrate.ExponentialDecayLR

Returns the learning rate data structure for the given state feature.

getFeatureWiseTimeIndex(int) - Method in class burlap.behavior.learningrate.SoftTimeInverseDecayLR

Returns the learning rate data structure for the given state feature.

getFlag(int) - Static method in class burlap.debugtools.DebugFlags

Returns the value for a given flag; 0 if the flag has never been created/set

getFriendFoeInitialState() - Static method in class burlap.domain.stochasticgames.gridgame.GridGame

Returns the initial state for Friend Foe game.

getFVTile(double[]) - Method in class burlap.behavior.functionapproximation.sparse.tilecoding.Tiling

Retunrs a tile for the given input vector.

getGamma() - Method in class burlap.behavior.singleagent.learnfromdemo.IRLRequest

getGamma() - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.RMaxModel

getGamma() - Method in class burlap.behavior.singleagent.MDPSolver

getGamma() - Method in interface burlap.behavior.singleagent.MDPSolverInterface

Returns gamma, the discount factor used by this solver

getGap(HashableState) - Method in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP

Returns the lower bound and upper bound value function margin/gap for the given state

getGoalCondition() - Method in class burlap.mdp.singleagent.common.GoalBasedRF

Returns the goal condition for this reward function.

getGoalReward() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderRF

getGoalReward() - Method in class burlap.mdp.singleagent.common.GoalBasedRF

getGravity() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.LLPhysicsParams

getGridWorldValueFunctionVisualization(List<State>, int, int, ValueFunction, Policy) - Static method in class burlap.domain.singleagent.gridworld.GridWorldDomain

Creates and returns a ValueFunctionVisualizerGUI object for a grid world.

getH() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling

Returns the height of the tree

getH() - Method in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling

Returns the height of the tree

getHalfTrackLength() - Method in class burlap.domain.singleagent.cartpole.CartPoleDomain.CartPoleRewardFunction

getHalfTrackLength() - Method in class burlap.domain.singleagent.cartpole.CartPoleDomain.CartPoleTerminalFunction

getHash1(int, int) - Method in class burlap.testing.TestHashing

getHash2(int, int) - Method in class burlap.testing.TestHashing

getHash3(int, int) - Method in class burlap.testing.TestHashing

getHashingFactory() - Method in class burlap.behavior.singleagent.MDPSolver

getHashingFactory() - Method in interface burlap.behavior.singleagent.MDPSolverInterface

Returns the HashableStateFactory this solver uses.

getHashMap() - Method in class burlap.datastructures.HashedAggregator

Returns the HashMap that backs this object.

getHawkDove() - Static method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

Returns an instance of Hawk Dove, which is defined by:

getHeight(OOState, BlocksWorldBlock) - Method in class burlap.domain.singleagent.blocksworld.BlocksWorldVisualizer.BlockPainter

getHeight() - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain

Returns this grid world's height

getHelpText() - Method in class burlap.shell.BurlapShell

getId() - Method in class burlap.domain.singleagent.graphdefined.GraphStateNode

getIdentityScalar() - Method in class burlap.behavior.singleagent.learning.lspi.LSPI

Returns the initial LSPI identity matrix scalar used

getIncredibleInitialState() - Static method in class burlap.domain.stochasticgames.gridgame.GridGame

Returns the initial state for the Incredible game (a game in which player 0 can give an incredible threat).

getInd() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain.RLGlueActionType

Returns the RLGlue int identifier of this action

getInitialBeliefState(PODomain) - Static method in class burlap.domain.singleagent.pomdp.tiger.TigerDomain

Generates an initial TabularBeliefState in which the it is equally uncertain where the tiger is (50/50).

getInitialState(List<Episode>) - Static method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearning

Returns the initial state of a randomly chosen episode analysis

getInitiationTest() - Method in class burlap.behavior.singleagent.options.SubgoalOption

Returns the object defining the initiation states.

getInternalRewardFunction() - Method in class burlap.mdp.stochasticgames.agent.SGAgentBase

Returns the internal reward function used by the agent.

getIs() - Method in class burlap.shell.BurlapShell

getJAMap(State) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.QSourceForSingleAgent.HashBackedQSource

Returns the Map from joint actions to q-values for a given state.

getJointActionModel() - Method in class burlap.mdp.stochasticgames.SGDomain

Returns the joint action model associated with this domain.

getJointActions() - Method in class burlap.behavior.stochasticgames.GameEpisode

Returns the joint action sequence list object

getJointPolicy() - Method in class burlap.behavior.stochasticgames.PolicyFromJointPolicy

Returns the underlying joint policy

getJointRewardFunction() - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

Returns a JointRewardFunction function for this game.

getJointRewards() - Method in class burlap.behavior.stochasticgames.GameEpisode

Returns the joint reward sequence list object

getK() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRLRequest

Returns the number of clusters.

getLastComputedColStrategy() - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.BimatrixEquilibriumSolver

Returns the last column player strategy computed by the BimatrixEquilibriumSolver.solve(double[][], double[][]) method.

getLastComputedRowStrategy() - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.BimatrixEquilibriumSolver

Returns the last row player strategy computed by the BimatrixEquilibriumSolver.solve(double[][], double[][]) method.

getLastJointAction() - Method in class burlap.mdp.stochasticgames.world.World

Returns the last joint action taken in this world; null if none have been taken yet.

getLastLearningEpisode() - Method in class burlap.behavior.singleagent.learning.actorcritic.ActorCritic

getLastLearningEpisode() - Method in class burlap.behavior.singleagent.learning.lspi.LSPI

getLastLearningEpisode() - Method in class burlap.behavior.singleagent.learning.modellearning.artdp.ARTDP

getLastLearningEpisode() - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax

getLastNumSteps() - Method in class burlap.behavior.singleagent.learning.tdmethods.QLearning

Returns the number of steps taken in the last episode;

getLastNumSteps() - Method in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam

Returns the number of steps taken in the last episode;

getLastRewards() - Method in class burlap.mdp.stochasticgames.world.World

Returns the last rewards received.

getLatestTrial() - Method in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.DatasetsAndTrials

Returns the most recent MultiAgentPerformancePlotter.Trial object

getLearnedPolicy(ApprenticeshipLearningRequest) - Static method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearning

Computes a policy that models the expert trajectories included in the request object.

getLearningPolicy() - Method in class burlap.behavior.singleagent.learning.lspi.LSPI

The learning policy followed by the LSPI.runLearningEpisode(burlap.mdp.singleagent.environment.Environment) and LSPI.runLearningEpisode(burlap.mdp.singleagent.environment.Environment, int) methods.

getLevel1(Domain) - Static method in class burlap.domain.singleagent.blockdude.BlockDudeLevelConstructor

Returns the initial State of the first level.

getLevel2(Domain) - Static method in class burlap.domain.singleagent.blockdude.BlockDudeLevelConstructor

Returns the initial State of the second level.

getLevel3(Domain) - Static method in class burlap.domain.singleagent.blockdude.BlockDudeLevelConstructor

Returns the initial State of the third level.

getListenAccuracy() - Method in class burlap.domain.singleagent.pomdp.tiger.TigerDomain

getListenReward() - Method in class burlap.domain.singleagent.pomdp.tiger.TigerDomain

getLocation(OOState, String) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics

Returns the x-y position of an agent stored in a Location2 object.

getLsActions() - Method in class burlap.shell.command.world.ManualAgentsCommands

getLsAgents() - Method in class burlap.shell.command.world.ManualAgentsCommands

getManualAgent(String) - Method in class burlap.shell.command.world.ManualAgentsCommands

getManualAgents() - Method in class burlap.shell.command.world.ManualAgentsCommands

getMap() - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain

Returns a deep copy of the map being used for the domain

getMapped(int) - Static method in class burlap.debugtools.RandomFactory

Returns the random generator with the associated id or creates it if it does not yet exist

getMapped(String) - Static method in class burlap.debugtools.RandomFactory

Returns the random generator with the associated String id or creates it if it does not yet exist

getMaskedObjectClasses() - Method in class burlap.statehashing.masked.MaskedConfig

getMaskedVariables() - Method in class burlap.statehashing.masked.MaskedConfig

getMatchingPennies() - Static method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

Returns an instance of Matching Pennies, which is defined by:

getMatchingPreference(HashableState, Action, BoltzmannActor.PolicyNode) - Method in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor

Returns the stored BoltzmannActor.ActionPreference that is stored in a policy node.

getMaxAbsoluteAngle() - Method in class burlap.domain.singleagent.cartpole.CartPoleDomain.CartPoleRewardFunction

getMaxAbsoluteAngle() - Method in class burlap.domain.singleagent.cartpole.CartPoleDomain.CartPoleTerminalFunction

getMaxChange() - Method in class burlap.behavior.singleagent.learning.lspi.LSPI

The maximum change in weights required to terminate policy iteration when called from the LSPI.planFromState(State), LSPI.runLearningEpisode(burlap.mdp.singleagent.environment.Environment) or LSPI.runLearningEpisode(burlap.mdp.singleagent.environment.Environment, int) methods.

getMaxDim() - Method in class burlap.domain.stochasticgames.gridgame.GridGame

Returns the maximum dimension of the world; it's width and height.

getMaxGT() - Method in class burlap.domain.stochasticgames.gridgame.GridGame

Returns the maximum goal types

getMaxIterations() - Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest

getMaxLearningSteps() - Method in class burlap.behavior.singleagent.learning.lspi.LSPI

The maximum number of learning steps permitted by the LSPI.runLearningEpisode(burlap.mdp.singleagent.environment.Environment) method.

getMaxNumPlanningIterations() - Method in class burlap.behavior.singleagent.learning.lspi.LSPI

The maximum number of policy iterations that will be used by the LSPI.planFromState(State) method.

getMaxPlyrs() - Method in class burlap.domain.stochasticgames.gridgame.GridGame

Returns the max number of players

getMaxQ(HashableState) - Method in class burlap.behavior.singleagent.learning.tdmethods.QLearning

Returns the maximum Q-value in the hashed stated.

getMaxQValue(State) - Method in class burlap.behavior.stochasticgames.agents.naiveq.SGNaiveQLAgent

Returns maximum numeric Q-value for a given state

getMaxWT() - Method in class burlap.domain.stochasticgames.gridgame.GridGame

Returns the maximum number of wall types

getMaxx() - Method in class burlap.domain.singleagent.blockdude.BlockDude

getMaxy() - Method in class burlap.domain.singleagent.blockdude.BlockDude

getMinNewStepsForLearningPI() - Method in class burlap.behavior.singleagent.learning.lspi.LSPI

The minimum number of new learning observations before policy iteration is run again.

getModel() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling

getModel() - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax

Returns the model learning algorithm being used.

getModel() - Method in class burlap.behavior.singleagent.MDPSolver

getModel() - Method in interface burlap.behavior.singleagent.MDPSolverInterface

Returns the model being used by this solver

getModel() - Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming

getModel() - Method in class burlap.mdp.singleagent.SADomain

Returns the SampleModel associated with this domain, or null if one is not defined.

getModeledRewardFunction() - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax

Returns the model reward function.

getModeledTerminalFunction() - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax

Returns the model terminal function.

getModelPlanner() - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.PotentialShapedRMax

Returns the planning algorithm used on the model that can be iteratively updated as the model changes.

getMultiLayerRenderer() - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionVisualizerGUI

Returns the MultiLayerRenderer used in this GUI.

getMyQSource() - Method in class burlap.behavior.stochasticgames.agents.maql.MultiAgentQLearning

Returns this agent's individual Q-value source

getName() - Method in class burlap.behavior.singleagent.options.MacroAction

getName() - Method in class burlap.behavior.singleagent.options.SubgoalOption

getName() - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeCell

getName() - Method in class burlap.domain.singleagent.blocksworld.BlocksWorldBlock

getName() - Method in class burlap.domain.singleagent.frostbite.state.FrostbitePlatform

getName() - Method in class burlap.domain.singleagent.gridworld.state.GridAgent

getName() - Method in class burlap.domain.singleagent.gridworld.state.GridLocation

getName() - Method in class burlap.domain.singleagent.lunarlander.state.LLBlock

getName() - Method in class burlap.domain.stochasticgames.gridgame.state.GGAgent

getName() - Method in class burlap.domain.stochasticgames.gridgame.state.GGGoal

getName() - Method in class burlap.domain.stochasticgames.gridgame.state.GGWall

getName() - Method in class burlap.mdp.core.action.SimpleAction

getName() - Method in class burlap.mdp.core.oo.propositional.PropositionalFunction

Returns the name of this propositional function.

getNegatedArray(double[]) - Static method in class burlap.behavior.stochasticgames.solvers.GeneralBimatrixSolverTools

Returns a negated version of the input array in a new array object.

getNegatedMatrix(double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.GeneralBimatrixSolverTools

Returns a negated version of the input matrix in a new matrix object.

getNewState(int) - Static method in class burlap.domain.singleagent.blocksworld.BlocksWorld

Creates a new state with nBlocks block objects in it.

getNextAction() - Method in class burlap.shell.command.world.ManualAgentsCommands.ManualSGAgent

getNextMatch() - Method in class burlap.mdp.stochasticgames.tournament.common.AllPairWiseSameTypeMS

getNextMatch() - Method in interface burlap.mdp.stochasticgames.tournament.MatchSelector

Returns the next match information, which is a list of MatchEntry objects

getNextState(State, Action) - Method in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP

Selects a next state for expansion when action a is applied in state s.

getNextStateByMaxMargin(State, Action) - Method in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP

Selects a next state for expansion when action a is applied in state s according to the next possible state that has the largest lower and upper bound margin.

getNextStateBySampling(State, Action) - Method in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP

Selects a next state for expansion when action a is applied in state s by randomly sampling from the transition dynamics weighted by the margin of the lower and upper bound value functions.

getNode(HashableState) - Method in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor

Returns the policy node that stores the action preferences for state.

getNodeFor(HashableState) - Method in class burlap.behavior.singleagent.planning.stochastic.valueiteration.PrioritizedSweeping

Returns or creates, stores, and returns a priority back pointer node for the given hased state

getNodeTransitionTo(Set<GraphDefinedDomain.NodeTransitionProbability>, int) - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain

Returns the GraphDefinedDomain.NodeTransitionProbability object in the provided set that corresponds to a transition to state tNode or null if it doesn't exist.

getNonZeroPartialDerivatives() - Method in interface burlap.behavior.functionapproximation.FunctionGradient

Returns all non-zero partial derivatives.

getNonZeroPartialDerivatives() - Method in class burlap.behavior.functionapproximation.FunctionGradient.SparseGradient

getNormForce(double, double, double) - Method in class burlap.domain.singleagent.cartpole.model.CPCorrectModel

Computes the normal force for the corrected model

getNothingReward() - Method in class burlap.domain.singleagent.pomdp.tiger.TigerDomain

getNSEWPolicyGlyphPainter(Object, Object, VariableDomain, VariableDomain, double, double, String, String, String, String) - Static method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.ArrowActionGlyph

Creates and returns a PolicyGlyphPainter2D where the x and y position attributes are name xAtt and yAtt, respectively, belong to the class classWithPositionAtts, and the north, south east, west actions have the corresponding names and will be rendered using ArrowActionGlyph objects.

getNumActions() - Method in class burlap.behavior.functionapproximation.dense.DenseCrossProductFeatures

getNumAgents() - Method in class burlap.mdp.stochasticgames.tournament.Tournament

Returns the number of agents who are playing in this tournament

getNumberOfBellmanUpdates() - Method in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP

Returns the total number of Bellman updates across all planning

getNumberOfBellmanUpdates() - Method in class burlap.behavior.singleagent.planning.stochastic.rtdp.RTDP

Returns the total number of Bellman updates across all planning

getNumberOfStateNodesCreated() - Method in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling

Returns the total number of state nodes that have been created.

getNumberOfSteps() - Method in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP

Returns the total number of planning steps that have been performed.

getNumberOfValueEsitmates() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling

Returns the total number of state value estimates performed since the DifferentiableSparseSampling.resetSolver() call.

getNumberOfValueEsitmates() - Method in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling

Returns the total number of state value estimates performed since the SparseSampling.resetSolver() call.

getNumberPlatformCol() - Method in class burlap.domain.singleagent.frostbite.FrostbiteModel

getNumNodes() - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain

Returns the number of state nodes specified in this domain

getNumPlayers() - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

Returns the number of players in the domain to be generated

getNumSamplesForPlanning() - Method in class burlap.behavior.singleagent.learning.lspi.LSPI

Gets the number of SARS samples that will be gathered by the LSPI.planFromState(State) method.

getNumVisited() - Method in class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.DFS

Returns the number of search nodes visited/expanded.

getObjectParameters() - Method in interface burlap.mdp.core.oo.ObjectParameterizedAction

Returns the parameters of this Action that correspond to OO-MDP objects.

getObjectParameters() - Method in class burlap.mdp.singleagent.oo.ObjectParameterizedActionType.SAObjectParameterizedAction

getObjectsByClass() - Method in class burlap.mdp.core.oo.state.generic.GenericOOState

Getter method for underlying data to support serialization.

getObjectsMap() - Method in class burlap.mdp.core.oo.state.generic.GenericOOState

Getter method for underlying data to support serialization.

getObs() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueState

getObservationFunction() - Method in class burlap.mdp.singleagent.pomdp.PODomain

Returns the ObservationFunction used by this domain.

getOperator() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableDP

getOperator() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling

getOperator() - Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming

Returns the dynamic programming operator used

getOperator() - Method in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling

getOpponent() - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.EquilibriumPlayingSGAgent

Returns the SGAgent object in the world for the opponent.

getOrCreate(int) - Method in class burlap.behavior.functionapproximation.sparse.SparseCrossProductFeatures.FeaturesMap

getOrCreateActionNode(HashableState, Action) - Method in class burlap.behavior.singleagent.learning.modellearning.models.TabularModel

Returns the TabularModel.StateActionNode object associated with the given hashed state and action.

getOrCreateModel(Option) - Method in class burlap.behavior.singleagent.options.model.BFSMarkovOptionModel

getOrGenerateActionFeatureList(Map<Tiling.FVTile, List<TileCodingFeatures.ActionFeatureID>>, Tiling.FVTile) - Method in class burlap.behavior.functionapproximation.sparse.tilecoding.TileCodingFeatures

Returns or creates stores and returns the list of action feature ids in the given map for the given tile.

getOrGenerateFeature(Map<Tiling.FVTile, Integer>, Tiling.FVTile) - Method in class burlap.behavior.functionapproximation.sparse.tilecoding.TileCodingFeatures

Returns the stored feature id or creates, stores and returns one.

getOrGenerateObjectClassList(String) - Method in class burlap.mdp.core.oo.state.generic.GenericOOState

getOrSeedDefault(long) - Static method in class burlap.debugtools.RandomFactory

Either return a the default random generator if it has already been created; or created it with the given seed if it has not been created.

getOrSeedMapped(int, long) - Static method in class burlap.debugtools.RandomFactory

Either returns the random generator for the given id or creates if with the given seed it does not yet exit

getOrSeedMapped(String, long) - Static method in class burlap.debugtools.RandomFactory

Either returns the random generator for the given String id or creates if with the given seed it does not yet exit

getOs() - Method in class burlap.shell.BurlapShell

getPainter() - Method in class burlap.mdp.singleagent.common.VisualActionObserver

getParameter(int) - Method in class burlap.behavior.functionapproximation.dense.DenseLinearVFA

getParameter(int) - Method in class burlap.behavior.functionapproximation.dense.DenseStateActionLinearVFA

getParameter(int) - Method in interface burlap.behavior.functionapproximation.ParametricFunction

Returns the value of the ith parameter value

getParameter(int) - Method in class burlap.behavior.functionapproximation.sparse.LinearVFA

getParameter(int) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF

getParameter(int) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateDifferentiableRF

getParameter(int) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.DiffVFRF

getParameter(int) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit

getParameter(int) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearStateDiffVF

getParameter(int) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.VanillaDiffVinit

getParameterClasses() - Method in class burlap.mdp.core.oo.propositional.PropositionalFunction

Returns the object classes of the parameters for this propositional function

getParameterClasses() - Method in class burlap.mdp.singleagent.oo.ObjectParameterizedActionType

Returns a String array of the names of of the object classes to which bound parameters must belong

getParameterOrderGroups() - Method in class burlap.mdp.core.oo.propositional.PropositionalFunction

Returns the parameter order group names for the parameters of this propositional function.

getParameterOrderGroups() - Method in class burlap.mdp.singleagent.oo.ObjectParameterizedActionType

Returns the a String array specifying the parameter order group of each parameter.

getPartialDerivative(int) - Method in interface burlap.behavior.functionapproximation.FunctionGradient

Returns the partial derivative for the given weight

getPartialDerivative(int) - Method in class burlap.behavior.functionapproximation.FunctionGradient.SparseGradient

getPayout(SingleStageNormalFormGame.StrategyProfile) - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.AgentPayoutFunction

Returns the payout for a given strategy profile

getPayout(int, String...) - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

Returns the payout that player pn receives for the given strategy profile.

getPayout(int, int...) - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

Returns the payout that player pn receives for the given strategy profile.

getPersonalGoalReward(OOState, String) - Method in class burlap.domain.stochasticgames.gridgame.GridGame.GGJointRewardFunction

Returns the personal goal rewards.

getPhysParams() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

getPlanner() - Method in class burlap.behavior.singleagent.learnfromdemo.IRLRequest

getPlannerFactory() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MultipleIntentionsMLIRLRequest

getPlannerInstance() - Method in class burlap.behavior.stochasticgames.agents.madp.MADPPlannerFactory.ConstantMADPPlannerFactory

getPlannerInstance() - Method in interface burlap.behavior.stochasticgames.agents.madp.MADPPlannerFactory

returns an MADynamicProgramming reference to use for planning.

getPlannerInstance() - Method in class burlap.behavior.stochasticgames.agents.madp.MADPPlannerFactory.MAVIPlannerFactory

getPlanningCollector() - Method in class burlap.behavior.singleagent.learning.lspi.LSPI

Gets the SARSCollector used by the LSPI.planFromState(State) method for collecting data.

getPlanningDepth() - Method in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI

Returns the Bellman operator depth used during planning.

getPlayerNumberForAgent(String) - Method in class burlap.mdp.stochasticgames.world.World

Returns the player index for the agent with the given name.

getPolicy() - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.PolicyRenderLayer

Returns the policy that will be rendered.

getPolicy() - Method in class burlap.behavior.singleagent.learning.actorcritic.ActorCritic

Returns the policy/actor of this learning algorithm.

getPolicy() - Method in class burlap.behavior.singleagent.options.SubgoalOption

getPolicyCount() - Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest

getPolicyReachableHashedStates(SADomain, EnumerablePolicy, State, HashableStateFactory) - Static method in class burlap.behavior.singleagent.auxiliary.StateReachability

Finds the set of states (HashableState) that are reachable under a policy from a source state.

getPolicyReachableStates(SADomain, EnumerablePolicy, State, HashableStateFactory) - Static method in class burlap.behavior.singleagent.auxiliary.StateReachability

Finds the set of states that are reachable under a policy from a source state.

getPolynomialDegree() - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.LandmarkColorBlendInterpolation

Returns the power to raise the normalized distance

getPositiveMatrix(double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.GeneralBimatrixSolverTools

Creates a new matrix (m2) whose values are the values of m shifted by a constant amount c such that all the values in m2 are positive.

getPossibleBindingsGivenParamOrderGroups(OOState, String[], String[]) - Static method in class burlap.mdp.core.oo.state.OOStateUtilities

Returns all possible object assignments from a OOState for a given set of parameters that are typed to OO-MDP object classes.

getPossibleCollisionOutcomes(List<GridGameStandardMechanics.Location2>, List<GridGameStandardMechanics.Location2>) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics

getPossibleLocationsFromWallCollisions(OOState, GridGameStandardMechanics.Location2, GridGameStandardMechanics.Location2, List<GridGameStandardMechanics.Location2>) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics

Returns the list of possible outcome locations for a given start point and desired position change.

getPotentialFunction() - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.RMaxModel

getPreferences() - Method in class burlap.datastructures.BoltzmannDistribution

Returns the input preferences

getPrisonersDilemma() - Static method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

Returns an instance of Prisoner's Dilemma, which is defined by:

getPrisonersDilemmaInitialState() - Static method in class burlap.domain.stochasticgames.gridgame.GridGame

Returns the initial state for a classic prisoner's dilemma formulated in a Grid Game.

getProbabilities() - Method in class burlap.datastructures.BoltzmannDistribution

Returns the output probability distribution.

getQ(HashableState, Action) - Method in class burlap.behavior.singleagent.learning.tdmethods.QLearning

Returns the Q-value for a given hashed state and action.

getQGreedyNode(UCTStateNode) - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTTreeWalkPolicy

Returns the UCTActionNode with the highest average sample return.

getQs(HashableState) - Method in class burlap.behavior.singleagent.learning.tdmethods.QLearning

Returns the possible Q-values for a given hashed stated.

getQSources() - Method in class burlap.behavior.stochasticgames.agents.maql.MultiAgentQLearning

getQSources() - Method in class burlap.behavior.stochasticgames.madynamicprogramming.MADynamicProgramming

getQSources() - Method in interface burlap.behavior.stochasticgames.madynamicprogramming.MultiAgentQSourceProvider

Returns an object that can provide Q-value sources for each agent.

getQValueFor(State, JointAction) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.MADynamicProgramming.BackupBasedQSource

getQValueFor(State, JointAction) - Method in interface burlap.behavior.stochasticgames.madynamicprogramming.QSourceForSingleAgent

Returns a Q-value (represented with a JAQValue object) stored for the given state and joint action.

getQValueFor(State, JointAction) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.QSourceForSingleAgent.HashBackedQSource

getRandomGenerator() - Method in class burlap.behavior.policy.RandomPolicy

Returns the random generator used for action selection.

getRandomObject() - Method in class burlap.domain.singleagent.mountaincar.MCRandomStateGenerator

Returns the random object used for generating states

getReachableHashedStates(State, SADomain, HashableStateFactory) - Static method in class burlap.behavior.singleagent.auxiliary.StateReachability

Returns the set of State objects that are reachable from a source state.

getReachableHashedStates(State, SADomain, HashableStateFactory) - Method in class burlap.testing.TestHashing

getReachableStates(State, SADomain, HashableStateFactory) - Static method in class burlap.behavior.singleagent.auxiliary.StateReachability

Returns the list of State objects that are reachable from a source state.

getRecCommand() - Method in class burlap.shell.command.env.EpisodeRecordingCommands

getRegCommand() - Method in class burlap.shell.command.world.ManualAgentsCommands

getRegisteredAgents() - Method in class burlap.mdp.stochasticgames.world.World

Returns the list of agents participating in this world.

getRenderAction() - Method in class burlap.visualizer.StateActionRenderLayer

Returns the Action that is/will be rendered

getRenderLayer(Domain, int[][]) - Static method in class burlap.domain.singleagent.gridworld.GridWorldVisualizer

Deprecated.

getRenderLayer(int[][]) - Static method in class burlap.domain.singleagent.gridworld.GridWorldVisualizer

Returns state render layer for a gird world domain with the provided wall map.

getRenderState() - Method in class burlap.visualizer.StateActionRenderLayer

Returns the State that is/will be rendered

getRenderStyle() - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.PolicyGlyphPainter2D

Returns the rendering style

getRepatedGameActionModel() - Static method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

Returns a repeated game joint action model.

getRepublicanObjective(double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver

Returns the republican/libertarian objective for the given player's payoffs that are to be maximized.

getRewardForTransitionsTo(int, int) - Method in class burlap.domain.singleagent.gridworld.GridWorldRewardFunction

Returns the reward this reward function will return when the agent transitions to position x, y.

getRewardFunction() - Method in class burlap.mdp.stochasticgames.world.World

Returns the JointRewardFunction function used in this world.

getRewardMatrix() - Method in class burlap.domain.singleagent.gridworld.GridWorldRewardFunction

Returns the reward matrix this reward function uses.

getRf() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MLIRLRequest

getRf() - Method in class burlap.domain.singleagent.blockdude.BlockDude

getRf() - Method in class burlap.domain.singleagent.blocksworld.BlocksWorld

getRf() - Method in class burlap.domain.singleagent.cartpole.CartPoleDomain

getRf() - Method in class burlap.domain.singleagent.cartpole.InvertedPendulum

getRf() - Method in class burlap.domain.singleagent.frostbite.FrostbiteDomain

getRf() - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain

getRf() - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain

getRf() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

getRf() - Method in class burlap.domain.singleagent.mountaincar.MountainCar

getRf() - Method in class burlap.mdp.singleagent.model.FactoredModel

getRfDim() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit

getRfFvGen() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit

getRLGlueAction(int) - Static method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent

Returns the corresponding RLGlue action for the given action id.

getRoot() - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT

Returns the root node of the UCT tree.

getRootEnvironmentDelegate(EnvironmentDelegation) - Static method in class burlap.mdp.singleagent.environment.extensions.EnvironmentDelegation.Helper

Returns the root Environment delegate.

getRowPlayersStrategy(double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.MinMaxSolver

Computes the minmax strategy for the row player of the given payoff matrix.

getS() - Method in class burlap.behavior.singleagent.learning.actorcritic.CritiqueResult

Returns the source state of this behavior.

getS() - Method in class burlap.statehashing.WrappedHashableState

Getter for Java Bean serialization purposes.

getSaFeatures() - Method in class burlap.behavior.singleagent.learning.lspi.LSPI

Returns the state-action features used

getSamples() - Method in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI

Returns the state samples to which the value function will be fit.

getScale() - Method in class burlap.domain.singleagent.frostbite.FrostbiteDomain

getScale() - Method in class burlap.domain.singleagent.frostbite.FrostbiteModel

getSelectionActions() - Method in class burlap.behavior.policy.RandomPolicy

Returns of the list of actions that can be randomly selected.

getSemiWallProb() - Method in class burlap.domain.stochasticgames.gridgame.GridGame

Returns the probability that an agent can pass through a semi-wall.

getSetAction() - Method in class burlap.shell.command.world.ManualAgentsCommands

getShell() - Method in class burlap.shell.visual.SGVisualExplorer

Returns the SGWorldShell associated with this visual explorer.

getShell() - Method in class burlap.shell.visual.VisualExplorer

Returns the EnvironmentShell instance associated with this object.

getSimpleGameInitialState() - Static method in class burlap.domain.stochasticgames.gridgame.GridGame

Returns the initial state for a simple game in which both players can win without interfering with one another.

getSoftTieRenderStyleDelta() - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.PolicyGlyphPainter2D

Returns the soft difference between max actions to determine ties when the MAXACTIONSOFSOFTTIE render style is used.

getSourceModel() - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.RMaxModel

getSparseSamplingPlanner() - Method in class burlap.behavior.singleagent.pomdp.wrappedmdpalgs.BeliefSparseSampling

Returns the SparseSampling planning used to solve the Belief MDP.

getSparseStateFeatures() - Method in class burlap.behavior.functionapproximation.dense.SparseToDenseFeatures

getSpp() - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.PolicyRenderLayer

Returns the state-wise policy painter

getSpp() - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionVisualizerGUI

Returns the state-wise policy painter

getSprime() - Method in class burlap.behavior.singleagent.learning.actorcritic.CritiqueResult

Returns the resulting state of this behavior.

getStackBottom(OOState, BlocksWorldBlock) - Method in class burlap.domain.singleagent.blocksworld.BlocksWorldVisualizer.BlockPainter

getStagHunt() - Static method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

Returns an instance of Stag Hunt, which is defined by:

getStandardGridGameAgentType(SGDomain) - Static method in class burlap.domain.stochasticgames.gridgame.GridGame

Creates and returns a standard SGAgentType for grid games.

getStartStateGenerator() - Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest

getStateActionNode(HashableState, Action) - Method in class burlap.behavior.singleagent.learning.modellearning.models.TabularModel

Returns the TabularModel.StateActionNode object associated with the given hashed state and action.

getStateEnumerator() - Method in class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefState

getStateEnumerator() - Method in class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefUpdate

getStateEnumerator() - Method in class burlap.mdp.singleagent.pomdp.PODomain

Gets the StateEnumerator used by this domain to enumerate all underlying MDP states.

getStateFeatures() - Method in class burlap.behavior.functionapproximation.dense.DenseCrossProductFeatures

getStateFeatures() - Method in class burlap.behavior.functionapproximation.dense.DenseLinearVFA

getStateForEnumerationId(int) - Method in class burlap.behavior.singleagent.auxiliary.StateEnumerator

Returns the state associated with the given enumeration id.

getStateGenerator() - Method in class burlap.mdp.singleagent.environment.SimulatedEnvironment

getStateModel() - Method in class burlap.mdp.singleagent.model.FactoredModel

getStateNode(State, int) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling

Either returns, or creates, indexes, and returns, the state node for the given state at the given height in the tree

getStateNode(HashableState) - Method in class burlap.behavior.singleagent.learning.tdmethods.QLearning

Returns the QLearningStateNode object stored for the given hashed state.

getStateNode(State, int) - Method in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling

Either returns, or creates, indexes, and returns, the state node for the given state at the given height in the tree

getStatePainters() - Method in class burlap.visualizer.StateRenderLayer

getStateRenderLayer(int, int) - Static method in class burlap.domain.singleagent.blockdude.BlockDudeVisualizer

Returns a StateRenderLayer for BlockDudeVisualizer.

getStateRenderLayer(int) - Static method in class burlap.domain.singleagent.blocksworld.BlocksWorldVisualizer

getStateRenderLayer(LunarLanderDomain.LLPhysicsParams) - Static method in class burlap.domain.singleagent.lunarlander.LLVisualizer

Returns a StateRenderLayer a the LunarLanderDomain using the provided LunarLanderDomain.LLPhysicsParams to define the visualized movement space and rotation degrees.

getStateRenderLayer(MountainCar.MCPhysicsParams) - Static method in class burlap.domain.singleagent.mountaincar.MountainCarVisualizer

Returns a StateRenderLayer for a MountainCar Domain using the hill design/physics defined in the MountainCar.MCPhysicsParams for visualization

getStateRenderLayer() - Method in class burlap.visualizer.Visualizer

Returns the StateRenderLayer instance for visualizing OO-MDP states.

getStates() - Method in class burlap.behavior.stochasticgames.GameEpisode

Returns the state sequence list object

getStateSpace() - Method in class burlap.mdp.singleagent.pomdp.beliefstate.TabularBeliefState

Returns the set of underlying MDP states this belief vector spans.

getStatesToVisualize() - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.PolicyRenderLayer

Returns the states that will be visualized

getStatesToVisualize() - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionRenderLayer

Returns the states that will be visualized

getStateWiseLearningRate(State) - Method in class burlap.behavior.learningrate.ExponentialDecayLR

Returns the learning rate data structure for the given state.

getStateWiseTimeIndex(State) - Method in class burlap.behavior.learningrate.SoftTimeInverseDecayLR

Returns the learning rate data structure for the given state.

getStoredEntry(T) - Method in class burlap.datastructures.StochasticTree

Returns the pointer to the stored entry in this tree for the given query element.

getStrategyProfile(SingleStageNormalFormGame.ActionNameMap[], String...) - Static method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame

Returns a hashable strategy profile object for a strategy profile specified by action names

getSvp() - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionRenderLayer

Returns the State-wise value function painter

getSvp() - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.ValueFunctionVisualizerGUI

Returns the State-wise value function painter

getTemperature() - Method in class burlap.datastructures.BoltzmannDistribution

Returns the temperature parameter

getTerminalStates() - Method in class burlap.domain.singleagent.graphdefined.GraphTF

getTerminationStates() - Method in class burlap.behavior.singleagent.options.SubgoalOption

getTf() - Method in class burlap.domain.singleagent.blockdude.BlockDude

getTf() - Method in class burlap.domain.singleagent.blocksworld.BlocksWorld

getTf() - Method in class burlap.domain.singleagent.cartpole.CartPoleDomain

getTf() - Method in class burlap.domain.singleagent.cartpole.InvertedPendulum

getTf() - Method in class burlap.domain.singleagent.frostbite.FrostbiteDomain

getTf() - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain

getTf() - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain

getTf() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

getTf() - Method in class burlap.domain.singleagent.mountaincar.MountainCar

getTf() - Method in class burlap.mdp.auxiliary.stateconditiontest.TFGoalCondition

Returns the TerminalFunction used to specify the goal condition.

getTf() - Method in class burlap.mdp.singleagent.model.FactoredModel

getTF() - Method in class burlap.mdp.stochasticgames.world.World

Returns the TerminalFunction used in this world.

getTheTaskSpec() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain

getTHistory() - Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest

getTime() - Method in class burlap.debugtools.MyTimer

Returns the elapsed time in seconds since the last start-stop calls.

getTin() - Method in class burlap.shell.visual.TextAreaStreams

Returns the InputStream for the JTextArea.

getTotalPolicyIterations() - Method in class burlap.behavior.singleagent.planning.stochastic.policyiteration.PolicyIteration

Returns the total number of policy iterations that have been performed.

getTotalTime() - Method in class burlap.debugtools.MyTimer

Returns the total time in seconds recorded over all start-stop calls.

getTotalValueIterations() - Method in class burlap.behavior.singleagent.planning.stochastic.policyiteration.PolicyIteration

Returns the total number of value iterations used to evaluate policies.

getTout() - Method in class burlap.shell.visual.TextAreaStreams

Returns the OutputStream for the JTextArea

getTransitionDynamics() - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphStateModel

getTransitionDynamics() - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain

getTurkeyInitialState() - Static method in class burlap.domain.stochasticgames.gridgame.GridGame

getUpdater() - Method in class burlap.mdp.singleagent.pomdp.BeliefAgent

getUsingMaxMargin() - Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest

getUtilitarianObjective(double[][], double[][]) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver

Returns the utilitarian objective for the given payoffs for the row and column player.

getV(HashableState) - Method in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda

Returns the TDLambda.VValue object (storing the value) for a given hashed stated.

getV(HashableState, int) - Method in class burlap.behavior.singleagent.learning.actorcritic.critics.TimeIndexedTDLambda

Returns the TDLambda.VValue object (storing the value) for a given hashed stated at the specified time/depth.

getValue(HashableState) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.MADynamicProgramming.BackupBasedQSource

Returns the stored state value for hashed state sh, or creates an entry with an initial value corresponding to the MADynamicProgramming instance's value function initialization object and returns that value if the the quried state has never previously been indexed.

getValueFunctionInitialization() - Method in class burlap.behavior.singleagent.planning.stochastic.DynamicProgramming

Returns the value initialization function used.

getVInit() - Method in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI

Returns the value function initialization used at the start of planning.

getVinitDim() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit

getVinitFvGen() - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit

getVisualizer(int, int) - Static method in class burlap.domain.singleagent.blockdude.BlockDudeVisualizer

Returns a Visualizer for BlockDude.

getVisualizer() - Static method in class burlap.domain.singleagent.blocksworld.BlocksWorldVisualizer

Returns a 2D Visualizer canvas object to visualize BlocksWorld states.

getVisualizer(int) - Static method in class burlap.domain.singleagent.blocksworld.BlocksWorldVisualizer

Returns a 2D Visualizer canvas object to visualize BlocksWorld states where the name of the block is rendered at the provided font point size.

getVisualizer() - Static method in class burlap.domain.singleagent.frostbite.FrostbiteVisualizer

getVisualizer(int) - Static method in class burlap.domain.singleagent.frostbite.FrostbiteVisualizer

Returns a visualizer for a lunar lander domain.

getVisualizer(Domain, int[][]) - Static method in class burlap.domain.singleagent.gridworld.GridWorldVisualizer

Deprecated.

getVisualizer(int[][]) - Static method in class burlap.domain.singleagent.gridworld.GridWorldVisualizer

Returns visualizer for a grid world domain with the provided wall map.

getVisualizer(LunarLanderDomain) - Static method in class burlap.domain.singleagent.lunarlander.LLVisualizer

Returns a Visualizer for a LunarLanderDomain using the generator's current version of the physics parameters for defining the visualized movement space size and rotation degrees.

getVisualizer(LunarLanderDomain.LLPhysicsParams) - Static method in class burlap.domain.singleagent.lunarlander.LLVisualizer

Returns a Visualizer a the LunarLanderDomain using the provided LunarLanderDomain.LLPhysicsParams to define the visualized movement space and rotation degrees.

getVisualizer(MountainCar) - Static method in class burlap.domain.singleagent.mountaincar.MountainCarVisualizer

Returns a Visualizer for a MountainCar Domain using the hill design/physics defined in the DomainGenerator for visualization

getVisualizer(MountainCar.MCPhysicsParams) - Static method in class burlap.domain.singleagent.mountaincar.MountainCarVisualizer

Returns a Visualizer for a MountainCar Domain using the hill design/physics defined in the MountainCar.MCPhysicsParams for visualization

getVisualizer(int, int) - Static method in class burlap.domain.stochasticgames.gridgame.GGVisualizer

Generates a visualizer for a grid game

getVisualizer() - Method in class burlap.shell.BurlapShell

getVisualizer() - Method in class burlap.shell.visual.VisualExplorer

Returns the Visualizer used by this explorer.

getVmax() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Returns the maximum velocity of the agent (the agent cannot move faster than this value).

getVmax() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.LLPhysicsParams

getVmax() - Method in class burlap.domain.singleagent.mountaincar.MCRandomStateGenerator

Returns the maximum velocity that a generated state can have.

getVmin() - Method in class burlap.domain.singleagent.mountaincar.MCRandomStateGenerator

Returns the minimum velocity that a generated state can have.

getW() - Method in class burlap.shell.visual.SGVisualExplorer

Returns the World associated with this explorer.

getWeight(int) - Method in class burlap.behavior.functionapproximation.sparse.LinearVFA

getWelcomeMessage() - Method in class burlap.shell.BurlapShell

getWidth() - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain

Returns this grid world's width

getWinningAgentMovements(Map<Integer, List<Integer>>) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics

Takes as input the set of collisions and randomly selects a winner

getWorld() - Method in class burlap.shell.SGWorldShell

getWrongDoorReward() - Method in class burlap.domain.singleagent.pomdp.tiger.TigerDomain

getX2ndDeriv(double, double, double, double, double, double) - Method in class burlap.domain.singleagent.cartpole.model.CPCorrectModel

Returns the second order x position derivative for the corrected model.

getXmax() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Returns the maximum x position of the lander (the agent cannot cross this boundary)

getXmax() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.LLPhysicsParams

getXmax() - Method in class burlap.domain.singleagent.mountaincar.MCRandomStateGenerator

Returns the maximum x-value that a generated state can have.

getXmin() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Returns the minimum x position of the lander (the agent cannot cross this boundary)

getXmin() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.LLPhysicsParams

getXmin() - Method in class burlap.domain.singleagent.mountaincar.MCRandomStateGenerator

Returns the minimum x-value that a generated state can have.

getYmax() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Returns the maximum y position of the lander (the agent cannot cross this boundary)

getYmax() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.LLPhysicsParams

getYmin() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Returns the minimum y position of the lander (the agent cannot cross this boundary)

getYmin() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.LLPhysicsParams

GGAgent - Class in burlap.domain.stochasticgames.gridgame.state

GGAgent() - Constructor for class burlap.domain.stochasticgames.gridgame.state.GGAgent

GGAgent(int, int, int, String) - Constructor for class burlap.domain.stochasticgames.gridgame.state.GGAgent

GGGoal - Class in burlap.domain.stochasticgames.gridgame.state

GGGoal() - Constructor for class burlap.domain.stochasticgames.gridgame.state.GGGoal

GGGoal(int, int, int, String) - Constructor for class burlap.domain.stochasticgames.gridgame.state.GGGoal

GGHorizontalWall() - Constructor for class burlap.domain.stochasticgames.gridgame.state.GGWall.GGHorizontalWall

GGHorizontalWall(int, int, int, int, String) - Constructor for class burlap.domain.stochasticgames.gridgame.state.GGWall.GGHorizontalWall

GGJointRewardFunction(OODomain) - Constructor for class burlap.domain.stochasticgames.gridgame.GridGame.GGJointRewardFunction

Initializes for a given domain.

GGJointRewardFunction(OODomain, double, double, boolean) - Constructor for class burlap.domain.stochasticgames.gridgame.GridGame.GGJointRewardFunction

Initializes for a given domain, step cost reward and goal reward.

GGJointRewardFunction(OODomain, double, double, double, boolean) - Constructor for class burlap.domain.stochasticgames.gridgame.GridGame.GGJointRewardFunction

Initializes for a given domain, step cost reward, personal goal reward, and universal goal reward.

GGJointRewardFunction(OODomain, double, double, boolean, Map<Integer, Double>) - Constructor for class burlap.domain.stochasticgames.gridgame.GridGame.GGJointRewardFunction

Initializes for a given domain, step cost reward, universal goal reward, and unique personal goal reward for each player.

GGTerminalFunction(OODomain) - Constructor for class burlap.domain.stochasticgames.gridgame.GridGame.GGTerminalFunction

Initializes for the given domain

GGVerticalWall() - Constructor for class burlap.domain.stochasticgames.gridgame.state.GGWall.GGVerticalWall

GGVerticalWall(int, int, int, int, String) - Constructor for class burlap.domain.stochasticgames.gridgame.state.GGWall.GGVerticalWall

GGVisualizer - Class in burlap.domain.stochasticgames.gridgame

A class for visualizing the grid games.

GGWall - Class in burlap.domain.stochasticgames.gridgame.state

GGWall() - Constructor for class burlap.domain.stochasticgames.gridgame.state.GGWall

GGWall(int, int, int, int, String) - Constructor for class burlap.domain.stochasticgames.gridgame.state.GGWall

GGWall.GGHorizontalWall - Class in burlap.domain.stochasticgames.gridgame.state

GGWall.GGVerticalWall - Class in burlap.domain.stochasticgames.gridgame.state

GoalBasedRF - Class in burlap.mdp.singleagent.common

A reward function implementation designed around goal conditions that are specified by a StateConditionTest object or a TerminalFunction.

GoalBasedRF(StateConditionTest) - Constructor for class burlap.mdp.singleagent.common.GoalBasedRF

Initializes with transitions to goal states returning a reward of 1 and all others returning 0

GoalBasedRF(StateConditionTest, double) - Constructor for class burlap.mdp.singleagent.common.GoalBasedRF

Initializes with transitions to goal states returning the given reward and all others returning 0.

GoalBasedRF(StateConditionTest, double, double) - Constructor for class burlap.mdp.singleagent.common.GoalBasedRF

Initializes with transitions to goal states returning the given reward and all others returning 0.

GoalBasedRF(TerminalFunction) - Constructor for class burlap.mdp.singleagent.common.GoalBasedRF

Initializes with transitions to goal states, indicated by the terminal function, returning a reward of 1 and all others returning 0

GoalBasedRF(TerminalFunction, double) - Constructor for class burlap.mdp.singleagent.common.GoalBasedRF

Initializes with transitions to goal states, indicated by the terminal function, returning the given reward and all others returning 0.

GoalBasedRF(TerminalFunction, double, double) - Constructor for class burlap.mdp.singleagent.common.GoalBasedRF

Initializes with transitions to goal states, indicated by the terminal function, returning the given reward and all others returning 0.

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

GoalConditionTF - Class in burlap.mdp.auxiliary.common

Creates a terminal function that indicates terminal states are any states that satisfy a goal condition where the goal condition is specified by a StateConditionTest object.

GoalConditionTF(StateConditionTest) - Constructor for class burlap.mdp.auxiliary.common.GoalConditionTF

goalReward - Variable in class burlap.domain.singleagent.frostbite.FrostbiteRF

goalReward - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderRF

The reward for landing on the landing pad

goalReward - Variable in class burlap.mdp.singleagent.common.GoalBasedRF

gradient(State) - Method in class burlap.behavior.functionapproximation.dense.DenseLinearVFA

gradient(State, Action) - Method in class burlap.behavior.functionapproximation.dense.DenseLinearVFA

gradient(State, Action) - Method in class burlap.behavior.functionapproximation.dense.DenseStateActionLinearVFA

gradient(State, Action) - Method in interface burlap.behavior.functionapproximation.DifferentiableStateActionValue

Returns the gradient of this function.

gradient(State) - Method in interface burlap.behavior.functionapproximation.DifferentiableStateValue

Returns the gradient of this function

gradient - Variable in class burlap.behavior.functionapproximation.FunctionGradient.SparseGradient

A map from weight identifiers to their partial derivative

gradient(State) - Method in class burlap.behavior.functionapproximation.sparse.LinearVFA

gradient(State, Action) - Method in class burlap.behavior.functionapproximation.sparse.LinearVFA

gradient(State, Action, State) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF

gradient(State, Action, State) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateDifferentiableRF

gradient(State, Action, State) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.DiffVFRF

gradient(State, Action, State) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit

gradient(double[], FunctionGradient[]) - Method in interface burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.dpoperator.DifferentiableDPOperator

Returns the gradient of this DP operator, giving the Q-values on which it operates, their gradient.

gradient(double[], FunctionGradient[]) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.dpoperator.DifferentiableSoftmaxOperator

gradient(double[], FunctionGradient[]) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.dpoperator.SubDifferentiableMaxOperator

gradient(State, Action, State) - Method in interface burlap.behavior.singleagent.learnfromdemo.mlirl.support.DifferentiableRF

gradient - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.support.QGradientTuple

The gradient for the state and action.

GradientDescentSarsaLam - Class in burlap.behavior.singleagent.learning.tdmethods.vfa

Gradient Descent SARSA(\lambda) implementation [1].

GradientDescentSarsaLam(SADomain, double, DifferentiableStateActionValue, double, double) - Constructor for class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam

Initializes SARSA(\lambda) with 0.1 epsilon greedy policy and places no limit on the number of steps the agent can take in an episode.

GradientDescentSarsaLam(SADomain, double, DifferentiableStateActionValue, double, int, double) - Constructor for class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam

Initializes SARSA(\lambda) with 0.1 epsilon greedy policy.

GradientDescentSarsaLam(SADomain, double, DifferentiableStateActionValue, double, Policy, int, double) - Constructor for class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam

Initializes SARSA(\lambda) By default the agent will only save the last learning episode and a call to the GradientDescentSarsaLam.planFromState(State) method will cause the valueFunction to use only one episode for planning; this should probably be changed to a much larger value if you plan on using this algorithm as a planning algorithm.

GradientDescentSarsaLam.EligibilityTraceVector - Class in burlap.behavior.singleagent.learning.tdmethods.vfa

An object for keeping track of the eligibility traces within an episode for each VFA weight

GraphAction() - Constructor for class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphActionType.GraphAction

GraphAction(int) - Constructor for class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphActionType.GraphAction

GraphActionType(int, Map<Integer, Map<Integer, Set<GraphDefinedDomain.NodeTransitionProbability>>>) - Constructor for class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphActionType

Initializes a graph action object for the given domain and for the action of the given number.

GraphDefinedDomain - Class in burlap.domain.singleagent.graphdefined

A domain generator for generating domains that are represented as graphs.

GraphDefinedDomain() - Constructor for class burlap.domain.singleagent.graphdefined.GraphDefinedDomain

Initializes the generator.

GraphDefinedDomain(int) - Constructor for class burlap.domain.singleagent.graphdefined.GraphDefinedDomain

Initializes the generator to create a domain with the given number of state nodes in it.

GraphDefinedDomain.GraphActionType - Class in burlap.domain.singleagent.graphdefined

An action class for defining actions that can be taken from state nodes.

GraphDefinedDomain.GraphActionType.GraphAction - Class in burlap.domain.singleagent.graphdefined

GraphDefinedDomain.GraphStateModel - Class in burlap.domain.singleagent.graphdefined

GraphDefinedDomain.NodeTransitionProbability - Class in burlap.domain.singleagent.graphdefined

A class for specifying transition probabilities to result node states.

GraphRF - Class in burlap.domain.singleagent.graphdefined

An abstract class for more easily defining RewardFunctions for GraphDefinedDomain Domains.

GraphRF() - Constructor for class burlap.domain.singleagent.graphdefined.GraphRF

GraphStateModel(Map<Integer, Map<Integer, Set<GraphDefinedDomain.NodeTransitionProbability>>>) - Constructor for class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphStateModel

GraphStateNode - Class in burlap.domain.singleagent.graphdefined

GraphStateNode() - Constructor for class burlap.domain.singleagent.graphdefined.GraphStateNode

GraphStateNode(int) - Constructor for class burlap.domain.singleagent.graphdefined.GraphStateNode

GraphTF - Class in burlap.domain.singleagent.graphdefined

A TerminalFunction for instances of GraphDefinedDomain.

GraphTF(int...) - Constructor for class burlap.domain.singleagent.graphdefined.GraphTF

Initializes setting all states with the provide integer node ids to be terminal states

gravity - Variable in class burlap.domain.singleagent.cartpole.CartPoleDomain.CPPhysicsParams

the force of gravity; should be *positive* for the correct mechanics.

gravity - Variable in class burlap.domain.singleagent.cartpole.InvertedPendulum.IPPhysicsParams

the force of gravity; should be *positive* for the correct mechanics.

gravity - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.LLPhysicsParams

The force of gravity

gravity - Variable in class burlap.domain.singleagent.mountaincar.MountainCar.MCPhysicsParams

The force of gravity

greatestHeightBelow(BlockDudeState, int[][], int, int, int) - Method in class burlap.domain.singleagent.blockdude.BlockDudeModel

Returns the maximum height of the world at the provided x coordinate that is <= the value maxY.

GreedyDeterministicQPolicy - Class in burlap.behavior.policy

A greedy policy that breaks ties by choosing the first action with the maximum value.

GreedyDeterministicQPolicy() - Constructor for class burlap.behavior.policy.GreedyDeterministicQPolicy

GreedyDeterministicQPolicy(QProvider) - Constructor for class burlap.behavior.policy.GreedyDeterministicQPolicy

Initializes with a QComputablePlanner

GreedyQPolicy - Class in burlap.behavior.policy

A greedy policy that breaks ties by randomly choosing an action amongst the tied actions.

GreedyQPolicy() - Constructor for class burlap.behavior.policy.GreedyQPolicy

GreedyQPolicy(QProvider) - Constructor for class burlap.behavior.policy.GreedyQPolicy

Initializes with a QComputablePlanner

GridAgent - Class in burlap.domain.singleagent.gridworld.state

Object instance for the agent in a GridWorldDomain.

GridAgent() - Constructor for class burlap.domain.singleagent.gridworld.state.GridAgent

GridAgent(int, int) - Constructor for class burlap.domain.singleagent.gridworld.state.GridAgent

GridAgent(int, int, String) - Constructor for class burlap.domain.singleagent.gridworld.state.GridAgent

gridDimension(Object, double, double, int) - Method in class burlap.behavior.singleagent.auxiliary.gridset.FlatStateGridder

Specify a state variable as a dimension of the grid

gridDimension(Object, VariableGridSpec) - Method in class burlap.behavior.singleagent.auxiliary.gridset.FlatStateGridder

Specify a state variable as a dimension of a the grid

GridGame - Class in burlap.domain.stochasticgames.gridgame

The GridGame domain is much like the GridWorld domain, except for arbitrarily many agents in a stochastic game.

GridGame() - Constructor for class burlap.domain.stochasticgames.gridgame.GridGame

GridGame.GGJointRewardFunction - Class in burlap.domain.stochasticgames.gridgame

Specifies goal rewards and default rewards for agents.

GridGame.GGTerminalFunction - Class in burlap.domain.stochasticgames.gridgame

Causes termination when any agent reaches a personal or universal goal location.

GridGameStandardMechanics - Class in burlap.domain.stochasticgames.gridgame

This class defines the standard transition dynamics for a grid game.

GridGameStandardMechanics(Domain) - Constructor for class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics

Initializes the mechanics for the given domain and sets the semi-wall pass through probability to 0.5;

GridGameStandardMechanics(Domain, double) - Constructor for class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics

Initializes the mechanics for the given domain and sets the semi-wall pass through probability to semiWallPassThroughProb.

GridLocation - Class in burlap.domain.singleagent.gridworld.state

ObjectInstance for locations in a GridWorldDomain.

GridLocation() - Constructor for class burlap.domain.singleagent.gridworld.state.GridLocation

GridLocation(int, int, String) - Constructor for class burlap.domain.singleagent.gridworld.state.GridLocation

GridLocation(int, int, int, String) - Constructor for class burlap.domain.singleagent.gridworld.state.GridLocation

gridObjectClass(String, FlatStateGridder) - Method in class burlap.behavior.singleagent.auxiliary.gridset.OOStateGridder

Specifies the gridding for a given object class.

gridSpec(Object) - Method in class burlap.behavior.singleagent.auxiliary.gridset.FlatStateGridder

Returns the grid spec defined for the variable key

gridSpecs - Variable in class burlap.behavior.singleagent.auxiliary.gridset.FlatStateGridder

gridState(MutableState) - Method in class burlap.behavior.singleagent.auxiliary.gridset.FlatStateGridder

Grids the input state.

gridState(MutableOOState) - Method in class burlap.behavior.singleagent.auxiliary.gridset.OOStateGridder

Generates a set of states spaced along along.

gridStateHelper(MutableState, List<Map.Entry<Object, VariableGridSpec>>, int, List<State>) - Method in class burlap.behavior.singleagent.auxiliary.gridset.FlatStateGridder

GridWorldDomain - Class in burlap.domain.singleagent.gridworld

A domain generator for basic grid worlds.

GridWorldDomain(int, int) - Constructor for class burlap.domain.singleagent.gridworld.GridWorldDomain

Constructs an empty map with deterministic transitions

GridWorldDomain(int[][]) - Constructor for class burlap.domain.singleagent.gridworld.GridWorldDomain

Constructs a deterministic world based on the provided map.

GridWorldDomain.AtLocationPF - Class in burlap.domain.singleagent.gridworld

Propositional function for determining if the agent is at the same position as a given location object

GridWorldDomain.GridWorldModel - Class in burlap.domain.singleagent.gridworld

GridWorldDomain.WallToPF - Class in burlap.domain.singleagent.gridworld

Propositional function for indicating if a wall is in a given position relative to the agent position

GridWorldModel(int[][], double[][]) - Constructor for class burlap.domain.singleagent.gridworld.GridWorldDomain.GridWorldModel

GridWorldRewardFunction - Class in burlap.domain.singleagent.gridworld

This class is used for defining reward functions in grid worlds that are a function of cell of the world to which the agent transitions.

GridWorldRewardFunction(int, int, double) - Constructor for class burlap.domain.singleagent.gridworld.GridWorldRewardFunction

Initializes the reward function for a grid world of size width and height and initializes the reward values everywhere to initializingReward.

GridWorldRewardFunction(int, int) - Constructor for class burlap.domain.singleagent.gridworld.GridWorldRewardFunction

Initializes the reward function for a grid world of size width and height and initializes the reward values everywhere to 0.

GridWorldState - Class in burlap.domain.singleagent.gridworld.state

GridWorldState() - Constructor for class burlap.domain.singleagent.gridworld.state.GridWorldState

GridWorldState(int, int, GridLocation...) - Constructor for class burlap.domain.singleagent.gridworld.state.GridWorldState

GridWorldState(GridAgent, GridLocation...) - Constructor for class burlap.domain.singleagent.gridworld.state.GridWorldState

GridWorldState(GridAgent, List<GridLocation>) - Constructor for class burlap.domain.singleagent.gridworld.state.GridWorldState

GridWorldTerminalFunction - Class in burlap.domain.singleagent.gridworld

This class is used for setting a terminal function for GridWorlds that is based on the location of the agent in the world.

GridWorldTerminalFunction() - Constructor for class burlap.domain.singleagent.gridworld.GridWorldTerminalFunction

Initializes without any terminal positions specified.

GridWorldTerminalFunction(int, int) - Constructor for class burlap.domain.singleagent.gridworld.GridWorldTerminalFunction

Initializes with a terminal position at the specified agent x and y locaiton.

GridWorldTerminalFunction(GridWorldTerminalFunction.IntPair...) - Constructor for class burlap.domain.singleagent.gridworld.GridWorldTerminalFunction

Initializes with a list of terminal positions specified by a sequence of GridWorldTerminalFunction.IntPair objects.

GridWorldTerminalFunction.IntPair - Class in burlap.domain.singleagent.gridworld

A pair class for two ints.

GridWorldVisualizer - Class in burlap.domain.singleagent.gridworld

Returns a visualizer for grid worlds in which walls are rendered as black squares or black lines, the agent is a gray circle and the location objects are colored squares.

GridWorldVisualizer.CellPainter - Class in burlap.domain.singleagent.gridworld

A painter for a grid world cell which will fill the cell with a given color and where the cell position is indicated by the x and y attribute for the mapped object instance

GridWorldVisualizer.LocationPainter - Class in burlap.domain.singleagent.gridworld

A painter for location objects which will fill the cell with a given color and where the cell position is indicated by the x and y attribute for the mapped object instance

GridWorldVisualizer.MapPainter - Class in burlap.domain.singleagent.gridworld

A static painter class for rendering the walls of the grid world as black squares or black lines for 1D walls.

GrimTrigger - Class in burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage

A class for an agent that plays grim trigger.

GrimTrigger(SGDomain, Action, Action) - Constructor for class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.GrimTrigger

Initializes with the specified cooperate and defect actions for both players.

GrimTrigger(SGDomain, Action, Action, Action) - Constructor for class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.GrimTrigger

Initializes with differently specified cooperate and defect actions for both players.

grimTrigger - Variable in class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.GrimTrigger

Whether this agent will play its defect action or not.

GrimTrigger.GrimTriggerAgentFactory - Class in burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage

An agent factory for GrimTrigger

GrimTriggerAgentFactory(SGDomain, Action, Action) - Constructor for class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.GrimTrigger.GrimTriggerAgentFactory

Initializes with the specified cooperate and defect actions for both players.

GrimTriggerAgentFactory(SGDomain, Action, Action, Action) - Constructor for class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.GrimTrigger.GrimTriggerAgentFactory

Initializes with differently specified cooperate and defect actions for both players.

GroundedProp - Class in burlap.mdp.core.oo.propositional

Propositional functions are defined to be evaluated on object parameters and this class provides a definition for a grounded propositional function; that is, it specifies specific object parameters on which the propositional function should be evaluated.

GroundedProp(PropositionalFunction, String[]) - Constructor for class burlap.mdp.core.oo.propositional.GroundedProp

Initializes a grounded propositional function

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