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

L

lambda - Variable in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda

Indicates the strength of eligibility traces.

lambda - Variable in class burlap.behavior.singleagent.learning.tdmethods.SarsaLam

the strength of eligibility traces (0 for one step, 1 for full propagation)

lambda - Variable in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam

the strength of eligibility traces (0 for one step, 1 for full propagation)

LandmarkColorBlendInterpolation - Class in burlap.behavior.singleagent.auxiliary.valuefunctionvis.common

A ColorBlend instance that takes as input a set of "landmark" Color objects and corresponding values between them.

LandmarkColorBlendInterpolation() - Constructor for class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.LandmarkColorBlendInterpolation

LandmarkColorBlendInterpolation(double) - Constructor for class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.LandmarkColorBlendInterpolation

Initializes the color blend with a power to raise the normalized distance of values.

landmarkColors - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.LandmarkColorBlendInterpolation

The landmark colors

landmarkValues - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.LandmarkColorBlendInterpolation

The value position of each landmark

lastAction - Variable in class burlap.behavior.functionapproximation.sparse.LinearVFA

lastColPlayerPayoff - Variable in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.BimatrixEquilibriumSolver

The last cached column player payoff matrix

lastColsStrategy - Variable in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.BimatrixEquilibriumSolver

The last cached column player strategy

lastComputedCumR - Variable in class burlap.behavior.singleagent.planning.deterministic.informed.astar.AStar

Store the most recent cumulative reward received to some node.

lastComputedDepth - Variable in class burlap.behavior.singleagent.planning.deterministic.informed.astar.DynamicWeightedAStar

maintains the depth of the last explored node

lastEpisode - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter

The last episode at which the plot's series data was updated

lastEpisode - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter

The last episode at which the plot's series data was updated

lastJointAction - Variable in class burlap.mdp.stochasticgames.world.World

LastJointActionCommand - Class in burlap.shell.command.world

A ShellCommand for printing the last joint action taken in a World.

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

lastOpponentMove - Variable in class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.TitForTat

The last opponent's move

lastPollTime - Variable in class burlap.behavior.learningrate.ExponentialDecayLR

The last agent time at which they polled the learning rate

lastPollTime - Variable in class burlap.behavior.learningrate.SoftTimeInverseDecayLR

The last agent time at which they polled the learning rate

lastReward - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent

The last reward received

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

lastReward - Variable in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface

The last reward received by this agent

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

lastReward() - Method in interface burlap.mdp.singleagent.environment.Environment

Returns the last reward returned by the environment

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

lastReward - Variable in class burlap.mdp.singleagent.environment.SimulatedEnvironment

The last reward generated from this environment.

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

lastRewards - Variable in class burlap.mdp.stochasticgames.world.World

lastRowPlayerPayoff - Variable in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.BimatrixEquilibriumSolver

The last cached row player payoff matrix

lastRowStrategy - Variable in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.BimatrixEquilibriumSolver

The last cached row player strategy

lastState - Variable in class burlap.behavior.functionapproximation.dense.DenseLinearVFA

lastState - Variable in class burlap.behavior.functionapproximation.dense.DenseStateActionLinearVFA

lastState - Variable in class burlap.behavior.functionapproximation.sparse.LinearVFA

lastStateOnPathIsNew(PrioritizedSearchNode) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.astar.IDAStar

Returns true if the search node has not be visited previously on the current search path.

lastSyncedState - Variable in class burlap.behavior.stochasticgames.JointPolicy

The last state in which synchronized actions were queried.

lastSynchronizedJointAction - Variable in class burlap.behavior.stochasticgames.JointPolicy

The last synchronized joint action that was selected

lastTimeStepUpdate - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter

The last time step at which the plots' series data was updated

lastTimeStepUpdate - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter

The last time step at which the plots' series data was updated

lastWeights - Variable in class burlap.behavior.singleagent.learning.lspi.LSPI

The last weight values set from LSTDQ

launchThread() - Method in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter

Launches the automatic plot refresh thread.

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

Launches the automatic plot refresh thread.

leafNodeInit - Variable in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI

This class computes the Bellman operator by using an instance of SparseSampling and setting its leaf nodes values to the current value function approximation.

LearnedModel - Interface in burlap.behavior.singleagent.learning.modellearning

An interface extension of FullModel for models that are learned from data.

LearningAgent - Interface in burlap.behavior.singleagent.learning

This is the standard interface for defining an agent that learns how to behave in the world through experience.

learningAgent - Variable in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface

The single agent LearningAgent that will be learning in this stochastic game as if the other players are part of the environment.

LearningAgentFactory - Interface in burlap.behavior.singleagent.learning

A factory interface for generating learning agents.

LearningAgentToSGAgentInterface - Class in burlap.behavior.stochasticgames.agents.interfacing.singleagent

A stochastic games SGAgent that takes as input a single agent LearningAgent to handle behavior.

LearningAgentToSGAgentInterface(SGDomain, LearningAgent, String, SGAgentType) - Constructor for class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface

Initializes.

LearningAgentToSGAgentInterface.ActionReference - Class in burlap.behavior.stochasticgames.agents.interfacing.singleagent

A wrapper that maintains a reference to a Action or null.

LearningAgentToSGAgentInterface.StateReference - Class in burlap.behavior.stochasticgames.agents.interfacing.singleagent

A wrapper that maintains a reference to a State or null.

LearningAlgorithmExperimenter - Class in burlap.behavior.singleagent.auxiliary.performance

This class is used to simplify the comparison of different learning algorithms.

LearningAlgorithmExperimenter(Environment, int, int, LearningAgentFactory...) - Constructor for class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter

Initializes.

learningPolicy - Variable in class burlap.behavior.singleagent.learning.lspi.LSPI

The learning policy followed in LSPI.runLearningEpisode(burlap.mdp.singleagent.environment.Environment) method calls.

learningPolicy - Variable in class burlap.behavior.singleagent.learning.tdmethods.QLearning

The learning policy to use.

learningPolicy - Variable in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam

The learning policy to use.

learningPolicy - Variable in class burlap.behavior.stochasticgames.agents.maql.MAQLFactory

learningPolicy - Variable in class burlap.behavior.stochasticgames.agents.maql.MultiAgentQLearning

The learning policy to be followed

learningRate - Variable in class burlap.behavior.learningrate.ConstantLR

LearningRate - Interface in burlap.behavior.learningrate

Provides an interface for different methods of learning rate decay schedules.

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

learningRate - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.MLIRL

The gradient ascent learning rate

learningRate - Variable in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor

The learning rate used to update action preferences in response to critiques.

learningRate - Variable in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda

learningRate - Variable in class burlap.behavior.singleagent.learning.tdmethods.QLearning

The learning rate function used.

learningRate - Variable in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam

A learning rate function to use

learningRate - Variable in class burlap.behavior.stochasticgames.agents.maql.MAQLFactory

learningRate - Variable in class burlap.behavior.stochasticgames.agents.maql.MultiAgentQLearning

The learning rate for updating Q-values

learningRate - Variable in class burlap.behavior.stochasticgames.agents.naiveq.history.SGQWActionHistoryFactory

The learning rate the Q-learning algorithm will use

learningRate - Variable in class burlap.behavior.stochasticgames.agents.naiveq.SGNaiveQFactory

The learning rate the Q-learning algorithm will use

learningRate - Variable in class burlap.behavior.stochasticgames.agents.naiveq.SGNaiveQLAgent

the learning rate

left - Variable in class burlap.domain.singleagent.lunarlander.state.LLBlock

LimitedMemoryDFS - Class in burlap.behavior.singleagent.planning.deterministic.uninformed.dfs

This is a modified version of DFS that maintains a memory of the last n states it has previously expanded.

LimitedMemoryDFS(SADomain, StateConditionTest, HashableStateFactory, int, boolean, boolean, int) - Constructor for class burlap.behavior.singleagent.planning.deterministic.uninformed.dfs.LimitedMemoryDFS

Constructor for memory limited DFS

LinearDiffRFVInit - Class in burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit

A class for creating a DifferentiableRF and a DifferentiableVInit when the reward function and value function initialization are linear functions over some set of features.

LinearDiffRFVInit(DenseStateFeatures, DenseStateFeatures, int, int) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit

Initializes a linear reward function for a given feature vector of a given dimension and linear value function initialization for a given feature vector and set of dimensions.

LinearDiffRFVInit(DenseStateFeatures, DenseStateFeatures, int, int, boolean) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit

Initializes a linear reward function for a given feature vector of a given dimension and linear value function initialization for a given feature vector and set of dimensions.

LinearStateActionDifferentiableRF - Class in burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs

A class for defining a state-action linear DifferentiableRF.

LinearStateActionDifferentiableRF(DenseStateFeatures, int, Action...) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF

Initializes.

LinearStateDifferentiableRF - Class in burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs

A class for defining a linear state DifferentiableRF.

LinearStateDifferentiableRF(DenseStateFeatures, int) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateDifferentiableRF

Initializes.

LinearStateDifferentiableRF(DenseStateFeatures, int, boolean) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateDifferentiableRF

Initializes.

LinearStateDiffVF - Class in burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit

A class for defining a (differentiable) linear function over state features for value function initialization.

LinearStateDiffVF(DenseStateFeatures, int) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearStateDiffVF

Initializes with the state feature vector generator over which the linear function is defined and the dimensionality of it.

LinearVFA - Class in burlap.behavior.functionapproximation.sparse

This class is used for general purpose linear VFA.

LinearVFA(SparseStateFeatures) - Constructor for class burlap.behavior.functionapproximation.sparse.LinearVFA

Initializes with a feature database; the default weight value will be zero

LinearVFA(SparseStateFeatures, double) - Constructor for class burlap.behavior.functionapproximation.sparse.LinearVFA

Initializes

ListActionsCommand - Class in burlap.shell.command.env

A ShellCommand for listing the set of applicable actions given the current environment observation.

ListActionsCommand() - Constructor for class burlap.shell.command.env.ListActionsCommand

listen - Variable in class burlap.domain.singleagent.pomdp.tiger.TigerModel

The reward for listening

listenAccuracy - Variable in class burlap.domain.singleagent.pomdp.tiger.TigerDomain

The probability of hearing accurately where the tiger is

listenAccuracy - Variable in class burlap.domain.singleagent.pomdp.tiger.TigerObservations

listenReward - Variable in class burlap.domain.singleagent.pomdp.tiger.TigerDomain

The reward for listening

ListManualAgents() - Constructor for class burlap.shell.command.world.ManualAgentsCommands.ListManualAgents

ListPropFunctions - Class in burlap.shell.command.env

A ShellCommand for listing the true (or false) GroundedProp's given the current environment observation.

ListPropFunctions() - Constructor for class burlap.shell.command.env.ListPropFunctions

LivePollCommand() - Constructor for class burlap.shell.visual.VisualExplorer.LivePollCommand

livePollingTimer - Variable in class burlap.shell.visual.VisualExplorer

LLAgent - Class in burlap.domain.singleagent.lunarlander.state

LLAgent() - Constructor for class burlap.domain.singleagent.lunarlander.state.LLAgent

LLAgent(double, double, double) - Constructor for class burlap.domain.singleagent.lunarlander.state.LLAgent

LLAgent(double, double, double, double, double) - Constructor for class burlap.domain.singleagent.lunarlander.state.LLAgent

LLBlock - Class in burlap.domain.singleagent.lunarlander.state

LLBlock() - Constructor for class burlap.domain.singleagent.lunarlander.state.LLBlock

LLBlock(double, double, double, double, String) - Constructor for class burlap.domain.singleagent.lunarlander.state.LLBlock

LLBlock.LLObstacle - Class in burlap.domain.singleagent.lunarlander.state

LLBlock.LLPad - Class in burlap.domain.singleagent.lunarlander.state

lld - Variable in class burlap.domain.singleagent.lunarlander.LLVisualizer.AgentPainter

lld - Variable in class burlap.domain.singleagent.lunarlander.LLVisualizer.ObstaclePainter

lld - Variable in class burlap.domain.singleagent.lunarlander.LLVisualizer.PadPainter

LLObstacle() - Constructor for class burlap.domain.singleagent.lunarlander.state.LLBlock.LLObstacle

LLObstacle(double, double, double, double, String) - Constructor for class burlap.domain.singleagent.lunarlander.state.LLBlock.LLObstacle

LLPad() - Constructor for class burlap.domain.singleagent.lunarlander.state.LLBlock.LLPad

LLPad(double, double, double, double, String) - Constructor for class burlap.domain.singleagent.lunarlander.state.LLBlock.LLPad

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

LLState - Class in burlap.domain.singleagent.lunarlander.state

LLState() - Constructor for class burlap.domain.singleagent.lunarlander.state.LLState

LLState(LLAgent, LLBlock.LLPad, List<LLBlock.LLObstacle>) - Constructor for class burlap.domain.singleagent.lunarlander.state.LLState

LLState(LLAgent, LLBlock.LLPad, LLBlock.LLObstacle...) - Constructor for class burlap.domain.singleagent.lunarlander.state.LLState

LLVisualizer - Class in burlap.domain.singleagent.lunarlander

Class for creating a 2D visualizer for a LunarLanderDomain Domain.

LLVisualizer.AgentPainter - Class in burlap.domain.singleagent.lunarlander

Object painter for a lunar lander agent class.

LLVisualizer.ObstaclePainter - Class in burlap.domain.singleagent.lunarlander

Object painter for obstacles of a lunar lander domain, rendered as black rectangles.

LLVisualizer.PadPainter - Class in burlap.domain.singleagent.lunarlander

Object painter for landing pads of a lunar lander domain, rendered as blue rectangles.

load() - Method in class burlap.domain.singleagent.rlglue.RLGlueEnvironment

Loads this environment into RLGlue

load(String, String) - Method in class burlap.domain.singleagent.rlglue.RLGlueEnvironment

Loads this environment into RLGLue with the specified host address and port

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

Loads this RLGlue AgentInterface into RLGlue and runs its event loop in a separate thread.

loadAgent(String, String) - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent

Loads this RLGlue AgentInterface into RLGlue using the specified host address and port nd runs its event loop in a separate thread.

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

Loads the q-function table located on disk at the specified path.

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

Loads the value function table located on disk at the specified path.

locationInd(String) - Method in class burlap.domain.singleagent.gridworld.state.GridWorldState

LocationPainter(int[][]) - Constructor for class burlap.domain.singleagent.gridworld.GridWorldVisualizer.LocationPainter

Initializes painter

locations - Variable in class burlap.domain.singleagent.gridworld.state.GridWorldState

logbase(double, double) - Static method in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling

Retuns the log value at the given bases.

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

Computes and returns the log-likelihood of all expert trajectories under the current reward function parameters.

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

Computes and returns the gradient of the log-likelihood of all trajectories

logLikelihoodOfTrajectory(Episode, double) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MLIRL

Computes and returns the log-likelihood of the given trajectory under the current reward function parameters and weights it by the given weight.

logPolicyGrad(State, Action) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MLIRL

Computes and returns the gradient of the Boltzmann policy for the given state and action.

logSum(double[], double, double) - Static method in class burlap.behavior.singleagent.learnfromdemo.mlirl.support.BoltzmannPolicyGradient

Computes the log sum of exponentiated Q-values (Scaled by beta)

lostReward - Variable in class burlap.domain.singleagent.frostbite.FrostbiteRF

lower - Variable in class burlap.mdp.core.state.vardomain.VariableDomain

The lower value of the domain

lowerBoundV - Variable in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP

The lower bound value function

lowerVal - Variable in class burlap.behavior.singleagent.auxiliary.gridset.VariableGridSpec

The lower value of the variable on the gird

lowerVInit - Variable in class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP

The lowerbound value function initialization

lsActions - Variable in class burlap.shell.command.world.ManualAgentsCommands

lsAgents - Variable in class burlap.shell.command.world.ManualAgentsCommands

LSManualAgentActionsCommands() - Constructor for class burlap.shell.command.world.ManualAgentsCommands.LSManualAgentActionsCommands

LSPI - Class in burlap.behavior.singleagent.learning.lspi

This class implements the optimized version of last squares policy iteration [1] (runs in quadratic time of the number of state features).

LSPI(SADomain, double, DenseStateActionFeatures) - Constructor for class burlap.behavior.singleagent.learning.lspi.LSPI

Initializes.

LSPI(SADomain, double, DenseStateActionFeatures, SARSData) - Constructor for class burlap.behavior.singleagent.learning.lspi.LSPI

Initializes.

LSPI.SSFeatures - Class in burlap.behavior.singleagent.learning.lspi

Pair of the the state-action features and the next state-action features.

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

Runs LSTDQ on this object's current SARSData dataset.

LunarLanderDomain - Class in burlap.domain.singleagent.lunarlander

This domain generator is used for producing a Lunar Lander domain, based on the classic Lunar Lander Atari game (1979).

LunarLanderDomain() - Constructor for class burlap.domain.singleagent.lunarlander.LunarLanderDomain

Initializes with no thrust actions set.

LunarLanderDomain.LLPhysicsParams - Class in burlap.domain.singleagent.lunarlander

A class for holding the physics parameters

LunarLanderDomain.OnPadPF - Class in burlap.domain.singleagent.lunarlander

A propositional function that evaluates to true if the agent has landed on the top surface of a landing pad.

LunarLanderDomain.ThrustType - Class in burlap.domain.singleagent.lunarlander

LunarLanderDomain.ThrustType.ThrustAction - Class in burlap.domain.singleagent.lunarlander

LunarLanderDomain.TouchGroundPF - Class in burlap.domain.singleagent.lunarlander

A propositional function that evaluates to true if the agent is touching the ground.

LunarLanderDomain.TouchPadPF - Class in burlap.domain.singleagent.lunarlander

A propositional function that evaluates to true if the agent is touching any part of the landing pad, including its side boundaries.

LunarLanderDomain.TouchSurfacePF - Class in burlap.domain.singleagent.lunarlander

A propositional function that evaluates to true if the agent is touching any part of an obstacle, including its side boundaries.

LunarLanderModel - Class in burlap.domain.singleagent.lunarlander

LunarLanderModel(LunarLanderDomain.LLPhysicsParams) - Constructor for class burlap.domain.singleagent.lunarlander.LunarLanderModel

LunarLanderRF - Class in burlap.domain.singleagent.lunarlander

A reward function for the LunarLanderDomain.

LunarLanderRF(OODomain) - Constructor for class burlap.domain.singleagent.lunarlander.LunarLanderRF

Initializes with default reward values (move through air = -1; collision = -100; land on pad = +1000)

LunarLanderRF(OODomain, double, double, double) - Constructor for class burlap.domain.singleagent.lunarlander.LunarLanderRF

Initializes with custom reward condition values.

LunarLanderTF - Class in burlap.domain.singleagent.lunarlander

A TerminalFunction for the LunarLanderDomain.

LunarLanderTF(OODomain) - Constructor for class burlap.domain.singleagent.lunarlander.LunarLanderTF

Initializes.

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