A-Index

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

a - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.support.QGradientTuple: The action
a - Variable in class burlap.behavior.singleagent.learning.actorcritic.CritiqueResult: The action taken in state s
a - Variable in class burlap.behavior.singleagent.learning.lspi.SARSData.SARS: The action taken inthe previous state
a - Variable in class burlap.behavior.valuefunction.QValue: The action with which this Q-value is associated
a - Variable in class burlap.mdp.singleagent.environment.EnvironmentOutcome: The action taken in the environment
abstractionForAgents - Variable in class burlap.mdp.stochasticgames.tournament.common.ConstantWorldGenerator
abstractionForAgents - Variable in class burlap.mdp.stochasticgames.world.World
acceleration - Variable in class burlap.domain.singleagent.mountaincar.MountainCar.MCPhysicsParams: The amount of acceleration of the car engine can use
accumulate(List<Double>, double) - Static method in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: Computes the sum of the last entry in list and the value v and adds it to the end of list.
accumulate(List<Double>, double) - Static method in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: Computes the sum of the last entry in list and the value v and adds it to the end of list.
actingAgent - Variable in class burlap.behavior.stochasticgames.PolicyFromJointPolicy
action(State) - Method in class burlap.behavior.policy.BoltzmannQPolicy
action(State) - Method in class burlap.behavior.policy.CachedPolicy
action(State) - Method in class burlap.behavior.policy.EpsilonGreedy
action(State) - Method in class burlap.behavior.policy.GreedyDeterministicQPolicy
action(State) - Method in class burlap.behavior.policy.GreedyQPolicy
action(State) - Method in interface burlap.behavior.policy.Policy: This method will return an action sampled by the policy for the given state.
action(State) - Method in class burlap.behavior.policy.RandomPolicy
action(int) - Method in class burlap.behavior.singleagent.Episode: Returns the action taken in the state at time step t.
action(State) - Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearning.StationaryRandomDistributionPolicy
action(State) - Method in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor
action(State) - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.UnmodeledFavoredPolicy
action(State) - Method in class burlap.behavior.singleagent.planning.deterministic.DDPlannerPolicy
action(State) - Method in class burlap.behavior.singleagent.planning.deterministic.SDPlannerPolicy
action - Variable in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTActionNode: The action this action node wraps
action(State) - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTTreeWalkPolicy
action(State) - Method in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface
action(State) - Method in class burlap.behavior.stochasticgames.agents.madp.MultiAgentDPPlanningAgent
action(State) - Method in class burlap.behavior.stochasticgames.agents.maql.MultiAgentQLearning
action(State) - Method in class burlap.behavior.stochasticgames.agents.naiveq.history.SGQWActionHistory
action(State) - Method in class burlap.behavior.stochasticgames.agents.naiveq.SGNaiveQLAgent
action(State) - Method in class burlap.behavior.stochasticgames.agents.RandomSGAgent
action(State) - Method in class burlap.behavior.stochasticgames.agents.SetStrategySGAgent
action(State) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.GrimTrigger
action(State) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.TitForTat
action(State) - Method in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.EquilibriumPlayingSGAgent
action(State) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.ECorrelatedQJointPolicy
action(State) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyJointPolicy
action(State) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyMaxWellfare
action(State) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EMinMaxPolicy
action(State) - Method in class burlap.behavior.stochasticgames.PolicyFromJointPolicy
Action - Interface in burlap.mdp.core.action: An interface for action definitions.
action - Variable in class burlap.mdp.core.action.UniversalActionType: The Action object that will be returned.
action(State) - Method in interface burlap.mdp.stochasticgames.agent.SGAgent: This method is called by the world when it needs the agent to choose an action
action(int) - Method in class burlap.mdp.stochasticgames.JointAction: Returns the action taken by the agent
action(State) - Method in class burlap.shell.command.world.ManualAgentsCommands.ManualSGAgent
ACTION_BACKWARDS - Static variable in class burlap.domain.singleagent.mountaincar.MountainCar: A constant for the name of the backwards action
ACTION_COAST - Static variable in class burlap.domain.singleagent.mountaincar.MountainCar: A constant for the name of the coast action
ACTION_DO_NOTHING - Static variable in class burlap.domain.singleagent.pomdp.tiger.TigerDomain: The do nothing action name
ACTION_EAST - Static variable in class burlap.domain.singleagent.blockdude.BlockDude: Name for the east action
ACTION_EAST - Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain: Constant for the name of the east action
ACTION_EAST - Static variable in class burlap.domain.singleagent.gridworld.GridWorldDomain: Constant for the name of the east action
ACTION_EAST - Static variable in class burlap.domain.stochasticgames.gridgame.GridGame: A constant for the name of the east action.
ACTION_FORWARD - Static variable in class burlap.domain.singleagent.mountaincar.MountainCar: A constant for the name of the forward action
ACTION_IDLE - Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain: Constant for the name of the west action
ACTION_IDLE - Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain: Constant for the name of the idle action which causes the agent to do nothing by drift for a time step
ACTION_LEFT - Static variable in class burlap.domain.singleagent.cartpole.CartPoleDomain: A constant for the name of the left action
ACTION_LEFT - Static variable in class burlap.domain.singleagent.pomdp.tiger.TigerDomain: The open left door action name
ACTION_LISTEN - Static variable in class burlap.domain.singleagent.pomdp.tiger.TigerDomain: The listen action name
ACTION_NO_FORCE - Static variable in class burlap.domain.singleagent.cartpole.InvertedPendulum: A constant for the name of the no force action (which due to stochasticity may include a small force)
ACTION_NOOP - Static variable in class burlap.domain.stochasticgames.gridgame.GridGame: A constant for the name of the no operation (do nothing) action.
ACTION_NORTH - Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain: Constant for the name of the north action
ACTION_NORTH - Static variable in class burlap.domain.singleagent.gridworld.GridWorldDomain: Constant for the name of the north action
ACTION_NORTH - Static variable in class burlap.domain.stochasticgames.gridgame.GridGame: A constant for the name of the north action.
ACTION_PICKUP - Static variable in class burlap.domain.singleagent.blockdude.BlockDude: Name for the pickup action
ACTION_PUT_DOWN - Static variable in class burlap.domain.singleagent.blockdude.BlockDude: Name for the put down action
ACTION_RIGHT - Static variable in class burlap.domain.singleagent.cartpole.CartPoleDomain: A constant for the name of the right action
ACTION_RIGHT - Static variable in class burlap.domain.singleagent.pomdp.tiger.TigerDomain: The open right door action name
ACTION_SOUTH - Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain: Constant for the name of the south action
ACTION_SOUTH - Static variable in class burlap.domain.singleagent.gridworld.GridWorldDomain: Constant for the name of the south action
ACTION_SOUTH - Static variable in class burlap.domain.stochasticgames.gridgame.GridGame: A constant for the name of the south action.
ACTION_STACK - Static variable in class burlap.domain.singleagent.blocksworld.BlocksWorld: Constant for the stack action name
ACTION_THRUST - Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain: Constant for the base name of thrust actions.
ACTION_TURN_LEFT - Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain: Constant for the name of the turn/rotate left/counterclockwise action
ACTION_TURN_RIGHT - Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain: Constant for the name of the turn/rotate right/clockwise action
ACTION_UNSTACK - Static variable in class burlap.domain.singleagent.blocksworld.BlocksWorld: Constant for the unstack action name
ACTION_UP - Static variable in class burlap.domain.singleagent.blockdude.BlockDude: Name for the up action
ACTION_WEST - Static variable in class burlap.domain.singleagent.blockdude.BlockDude: Name for the west action
ACTION_WEST - Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain: Constant for the name of the west action
ACTION_WEST - Static variable in class burlap.domain.singleagent.gridworld.GridWorldDomain: Constant for the name of the west action
ACTION_WEST - Static variable in class burlap.domain.stochasticgames.gridgame.GridGame: A constant for the name of the west action.
actionArgs(List<String>) - Method in class burlap.shell.command.env.ExecuteActionCommand
actionArgs(List<String>) - Method in class burlap.shell.command.world.JointActionCommand
actionArgs(List<String>) - Method in class burlap.shell.command.world.ManualAgentsCommands.SetAgentAction
actionButton - Variable in class burlap.shell.visual.VisualExplorer
actionFeature(Action, int) - Method in class burlap.behavior.functionapproximation.sparse.SparseCrossProductFeatures
ActionFeatureID(Action, int) - Constructor for class burlap.behavior.functionapproximation.sparse.tilecoding.TileCodingFeatures.ActionFeatureID
actionFeatureMultiplier - Variable in class burlap.behavior.functionapproximation.dense.fourier.FourierBasis: A map for returning a multiplier to the number of state features for each action.
actionFeatureMultiplier - Variable in class burlap.behavior.functionapproximation.dense.rbf.RBFFeatures: A map for returning a multiplier to the number of RBF state features for each action.
actionFeatures - Variable in class burlap.behavior.functionapproximation.sparse.SparseCrossProductFeatures
actionField - Variable in class burlap.shell.visual.VisualExplorer
actionForce - Variable in class burlap.domain.singleagent.cartpole.InvertedPendulum.IPPhysicsParams: The force (magnitude) applied by a left or right action.
ActionGlyphPainter - Interface in burlap.behavior.singleagent.auxiliary.valuefunctionvis.common: An interface for painting glyphs that correspond to actions.
actionId - Variable in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.MatrixAction
actionInd(String) - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain.GridWorldModel
actionIndex(int, String) - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame: Returns the action index of the action named actionName of player pn
actionMap - Variable in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF: An ordering of grounded actions
actionMap - Variable in class burlap.domain.singleagent.rlglue.RLGlueEnvironment: A mapping from action index identifiers (that RLGlue will use) to BURLAP actions and their parametrization specified as the index of objects in a state.
actionMap - Variable in class burlap.mdp.singleagent.SADomain
actionMap - Variable in class burlap.mdp.stochasticgames.SGDomain: A map from action type names to their corresponding ActionType
actionName() - Method in class burlap.behavior.policy.support.AnnotatedAction
actionName() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain.RLGlueActionType.RLGLueAction
actionName() - Method in class burlap.behavior.singleagent.options.MacroAction
actionName() - Method in class burlap.behavior.singleagent.options.SubgoalOption
actionName() - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphActionType.GraphAction
actionName() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.ThrustType.ThrustAction
actionName(int, int) - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame: Returns the name of the an action of player pn
actionName() - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.MatrixAction
actionName() - Method in interface burlap.mdp.core.action.Action: Returns the action name for this grounded action.
actionName() - Method in class burlap.mdp.core.action.SimpleAction
actionName() - Method in class burlap.mdp.singleagent.oo.ObjectParameterizedActionType.SAObjectParameterizedAction
actionName() - Method in class burlap.mdp.stochasticgames.JointAction
ActionNameMap() - Constructor for class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.ActionNameMap
actionNameMap - Variable in class burlap.shell.command.env.ExecuteActionCommand
actionNameToGlyphPainter - Variable in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.PolicyGlyphPainter2D: The map from action names to glyphs that will be used to represent them.
actionNameToIndex - Variable in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame: Returns the the int index of an action for a given name for each player
actionNodeConstructor - Variable in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT
actionNodes - Variable in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTStateNode: The possible actions (nodes) that can be performed from this state.
actionNoise - Variable in class burlap.domain.singleagent.cartpole.InvertedPendulum.IPPhysicsParams: The force (magnitude) noise in any action, including the no force action.
actionOffset - Variable in class burlap.behavior.functionapproximation.dense.DenseCrossProductFeatures: A feature index offset for each action when using Q-value function approximation.
actionOffset - Variable in class burlap.behavior.functionapproximation.dense.DenseLinearVFA: A feature index offset for each action when using Q-value function approximation.
actionProb(State, Action) - Method in class burlap.behavior.policy.BoltzmannQPolicy
actionProb(State, Action) - Method in class burlap.behavior.policy.CachedPolicy
actionProb(State, Action) - Method in class burlap.behavior.policy.EpsilonGreedy
actionProb(State, Action) - Method in class burlap.behavior.policy.GreedyDeterministicQPolicy
actionProb(State, Action) - Method in class burlap.behavior.policy.GreedyQPolicy
actionProb(State, Action) - Method in interface burlap.behavior.policy.Policy: Returns the probability/probability density that the given action will be taken in the given state.
actionProb(State, Action) - Method in class burlap.behavior.policy.RandomPolicy
ActionProb - Class in burlap.behavior.policy.support: Class for storing an action and probability tuple.
ActionProb() - Constructor for class burlap.behavior.policy.support.ActionProb
ActionProb(Action, double) - Constructor for class burlap.behavior.policy.support.ActionProb: Initializes the action, probability tuple.
actionProb(State, Action) - Method in class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearning.StationaryRandomDistributionPolicy
actionProb(State, Action) - Method in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor
actionProb(State, Action) - Method in class burlap.behavior.singleagent.learning.modellearning.rmax.UnmodeledFavoredPolicy
actionProb(State, Action) - Method in class burlap.behavior.singleagent.planning.deterministic.DDPlannerPolicy
actionProb(State, Action) - Method in class burlap.behavior.singleagent.planning.deterministic.SDPlannerPolicy
actionProb(State, Action) - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTTreeWalkPolicy
actionProb(State, Action) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.ECorrelatedQJointPolicy
actionProb(State, Action) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyJointPolicy
actionProb(State, Action) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyMaxWellfare
actionProb(State, Action) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EMinMaxPolicy
actionProb(State, Action) - Method in class burlap.behavior.stochasticgames.PolicyFromJointPolicy
actionProbFromEnum(EnumerablePolicy, State, Action) - Static method in class burlap.behavior.policy.PolicyUtils: Returns the probability of the policy taking action a in state s by searching for the action in the returned policy distribution from the provided EnumerablePolicy.
actionProbGivenDistribution(Action, List<ActionProb>) - Static method in class burlap.behavior.policy.PolicyUtils: Searches the input distribution for the occurrence of the input action and returns its probability.
ActionReference() - Constructor for class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface.ActionReference
actionRenderDelay - Variable in class burlap.mdp.singleagent.common.VisualActionObserver: How long to wait in ms for a state to be rendered before returning control to the agent.
actionRenderDelay - Variable in class burlap.mdp.stochasticgames.common.VisualWorldObserver: How long to wait in ms for a state to be rendered before returning control to the world.
actions - Variable in class burlap.mdp.stochasticgames.agent.SGAgentType
actions - Variable in class burlap.mdp.stochasticgames.JointAction
actionSelection - Variable in class burlap.behavior.policy.CachedPolicy: The cached action selection probabilities
actionSequence - Variable in class burlap.behavior.singleagent.Episode: The sequence of actions taken
actionSequence - Variable in class burlap.behavior.singleagent.options.MacroAction: The list of actions that will be executed in order when this macro-action is called.
actionSequenceSize() - Method in class burlap.behavior.singleagent.options.MacroAction
actionSets - Variable in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame: The ordered action set for each player
actionString() - Method in class burlap.behavior.singleagent.Episode: Returns a string representing the actions taken in this episode.
actionString(String) - Method in class burlap.behavior.singleagent.Episode: Returns a string representing the actions taken in this episode.
actionsTypes - Variable in class burlap.behavior.singleagent.learning.modellearning.rmax.RMaxModel
ActionType - Interface in burlap.mdp.core.action: An ActionType acts as a generator for Action objects.
actionTypes - Variable in class burlap.behavior.policy.RandomPolicy: The actions from which selection is performed
actionTypes - Variable in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor: The actions the agent can perform
actionTypes - Variable in class burlap.behavior.singleagent.learning.lspi.SARSCollector: The actions used for collecting data.
actionTypes - Variable in class burlap.behavior.singleagent.MDPSolver: The list of actions this solver can use.
actionTypes - Variable in class burlap.mdp.singleagent.SADomain
ActionUtils - Class in burlap.mdp.core.action: A class holding static methods for common Action and ActionType operations.
ActionUtils() - Constructor for class burlap.mdp.core.action.ActionUtils
activated - Variable in class burlap.domain.singleagent.frostbite.state.FrostbitePlatform
activatedPlatformReward - Variable in class burlap.domain.singleagent.frostbite.FrostbiteRF
Actor - Class in burlap.behavior.singleagent.learning.actorcritic: This class provides interface necessary for the actor portion of an Actor-Critic learning algorithm.
Actor() - Constructor for class burlap.behavior.singleagent.learning.actorcritic.Actor
actor - Variable in class burlap.behavior.singleagent.learning.actorcritic.ActorCritic: The actor component to use.
ActorCritic - Class in burlap.behavior.singleagent.learning.actorcritic: This is a general class structure for implementing Actor-critic learning.
ActorCritic(SADomain, double, Actor, Critic) - Constructor for class burlap.behavior.singleagent.learning.actorcritic.ActorCritic: Initializes the learning algorithm.
ActorCritic(SADomain, double, Actor, Critic, int) - Constructor for class burlap.behavior.singleagent.learning.actorcritic.ActorCritic: Initializes the learning algorithm.
actUntilTerminal() - Method in class burlap.mdp.singleagent.pomdp.BeliefAgent: Causes the agent to act until the environment reaches a termination condition.
actUntilTerminalOrMaxSteps(int) - Method in class burlap.mdp.singleagent.pomdp.BeliefAgent: Causes the agent to act for some fixed number of steps.
add(QValue, QGradientTuple) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableSparseSampling.QAndQGradient
add(SARSData.SARS) - Method in class burlap.behavior.singleagent.learning.lspi.SARSData: Adds the given SARSData.SARS tuple.
add(State, Action, double, State) - Method in class burlap.behavior.singleagent.learning.lspi.SARSData: Adds a SARSData.SARS tuple with the given component.
add(K, double) - Method in class burlap.datastructures.HashedAggregator: Adds a specified value to a key.
addAction(ActionType) - Method in class burlap.behavior.policy.RandomPolicy: Adds an aciton to consider in selection.
addAction(Action) - Method in class burlap.behavior.singleagent.Episode: Adds a GroundedAction to the action sequence.
addAction(Action) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.commonrfs.LinearStateActionDifferentiableRF: Adds a possible grounded action.
addAction(Action) - Method in class burlap.mdp.stochasticgames.JointAction: Adds a single Action object to this joint action.
addActionType(ActionType) - Method in class burlap.behavior.singleagent.learning.actorcritic.ActorCritic
addActionType(ActionType) - Method in interface burlap.behavior.singleagent.learning.actorcritic.Critic: This method allows the critic to critique actions that are not apart of the domain definition.
addActionType(ActionType) - Method in class burlap.behavior.singleagent.MDPSolver
addActionType(ActionType) - Method in interface burlap.behavior.singleagent.MDPSolverInterface: Adds an additional action the solver that is not included in the domain definition.
addActionType(ActionType) - Method in class burlap.mdp.singleagent.SADomain: Adds an ActionType to this domain.
addActionType(ActionType) - Method in class burlap.mdp.stochasticgames.SGDomain
addActionTypes(ActionType...) - Method in class burlap.mdp.singleagent.SADomain: Adds a set of ActionType objects to this domain
addAgent(AgentFactory) - Method in class burlap.mdp.stochasticgames.tournament.Tournament: Adds an agent to the tournament
addBackTransition(PrioritizedSweeping.BPTRNode) - Method in class burlap.behavior.singleagent.planning.stochastic.valueiteration.PrioritizedSweeping.BPTRNode: Adds a backpointer transition
addCommand(ShellCommand) - Method in class burlap.shell.BurlapShell
addCommandAs(ShellCommand, String) - Method in class burlap.shell.BurlapShell
addCorrelatedEquilibriumMainConstraints(LinearProgram, double[][], double[][], int, int) - Static method in class burlap.behavior.stochasticgames.solvers.CorrelatedEquilibriumSolver: Adds the common LP constraints for the correlated equilribum problem: rationalaity constraits (no agent has a motivation to diverge from a joint policy selection), the probability of all joint action variables must sum to 1, and all joint action variables are lower bound at 0.0.
addFloor(int[][]) - Static method in class burlap.domain.singleagent.blockdude.BlockDudeLevelConstructor
addFloorDiscretizingMultipleFor(Object, double) - Method in class burlap.statehashing.discretized.DiscConfig: Sets the multiple to use for discretization for the given key.
addFloorDiscretizingMultipleFor(Object, double) - Method in class burlap.statehashing.discretized.DiscretizingHashableStateFactory: Sets the multiple to use for discretization for the given key.
addFloorDiscretizingMultipleFor(Object, double) - Method in class burlap.statehashing.maskeddiscretized.DiscMaskedConfig: Sets the multiple to use for discretization for the given key.
addFloorDiscretizingMultipleFor(Object, double) - Method in class burlap.statehashing.maskeddiscretized.DiscretizingMaskedHashableStateFactory: Sets the multiple to use for discretization for the given key.
additiveReward(State, Action, State) - Method in class burlap.behavior.singleagent.shaping.potential.PotentialShapedRF
additiveReward(State, Action, State) - Method in class burlap.behavior.singleagent.shaping.ShapedRewardFunction: Returns the reward value to add to the base objective reward function.
addKeyAction(String, int, Action) - Method in class burlap.shell.visual.SGVisualExplorer: Specifies the action to set for a given key press.
addKeyAction(String, int, String, String) - Method in class burlap.shell.visual.SGVisualExplorer: Adds a key action mapping.
addKeyAction(String, Action) - Method in class burlap.shell.visual.VisualExplorer: Specifies which action to execute for a given key press
addKeyAction(String, String, String) - Method in class burlap.shell.visual.VisualExplorer: Adds a key action mapping.
addKeyShellCommand(String, String) - Method in class burlap.shell.visual.SGVisualExplorer: Causes a shell command to be executed when a key is pressed with the visualizer in focus.
addKeyShellCommand(String, String) - Method in class burlap.shell.visual.VisualExplorer: Cause a shell command to be executed when key is pressed with the visualizer highlighted.
addNextLandMark(double, Color) - Method in class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.LandmarkColorBlendInterpolation: Adds the next landmark between which interpolation should occur.
addNodeToIndexTree(UCTStateNode) - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT: Adds a UCTStateNode to the UCT tree
addNonDomainReferencedAction(ActionType) - Method in class burlap.behavior.singleagent.learning.actorcritic.Actor: This method allows the actor to utilize actions that are not apart of the domain definition.
addNonDomainReferencedAction(ActionType) - Method in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor
addObject(ObjectInstance) - Method in class burlap.domain.singleagent.blockdude.state.BlockDudeState
addObject(ObjectInstance) - Method in class burlap.domain.singleagent.blocksworld.BlocksWorldState
addObject(ObjectInstance) - Method in class burlap.domain.singleagent.frostbite.state.FrostbiteState
addObject(ObjectInstance) - Method in class burlap.domain.singleagent.gridworld.state.GridWorldState
addObject(ObjectInstance) - Method in class burlap.domain.singleagent.lunarlander.state.LLState
addObject(ObjectInstance) - Method in class burlap.mdp.core.oo.state.generic.GenericOOState
addObject(ObjectInstance) - Method in interface burlap.mdp.core.oo.state.MutableOOState: Adds object instance o to this state.
addObjectClassMasks(String...) - Method in class burlap.statehashing.masked.MaskedConfig: Adds masks for entire OO-MDP objects that belong to the specified OO-MDP object class.
addObjectClassMasks(String...) - Method in class burlap.statehashing.masked.MaskedHashableStateFactory: Adds masks for entire OO-MDP objects that belong to the specified OO-MDP object class.
addObjectClassPainter(String, ObjectPainter) - Method in class burlap.visualizer.OOStatePainter: Adds a class that will paint objects that belong to a given OO-MDPclass.
addObjectVectorizion(String, DenseStateFeatures) - Method in class burlap.behavior.functionapproximation.dense.ConcatenatedObjectFeatures: Adds an OO-MDP class next in the list of object classes to vectorize with the given DenseStateFeatures.
addObservers(EnvironmentObserver...) - Method in class burlap.mdp.singleagent.environment.extensions.EnvironmentServer: Adds one or more EnvironmentObservers
addObservers(EnvironmentObserver...) - Method in interface burlap.mdp.singleagent.environment.extensions.EnvironmentServerInterface: Adds one or more EnvironmentObservers
addObservers(EnvironmentObserver...) - Method in class burlap.mdp.singleagent.environment.SimulatedEnvironment
addObservers(ShellObserver...) - Method in class burlap.shell.BurlapShell
addPfsToDomain(OODomain, List<PropositionalFunction>) - Static method in class burlap.mdp.core.oo.OODomain.Helper: Adds all PropositionalFunction objects to the given OODomain
addPfsToDomain(OODomain, PropositionalFunction...) - Static method in class burlap.mdp.core.oo.OODomain.Helper: Adds all PropositionalFunction objects to the given OODomain
addPropFunction(PropositionalFunction) - Method in interface burlap.mdp.core.oo.OODomain: Add a propositional function that can be used to evaluate objects that belong to object classes of this domain.
addPropFunction(PropositionalFunction) - Method in class burlap.mdp.singleagent.oo.OOSADomain
addPropFunction(PropositionalFunction) - Method in class burlap.mdp.stochasticgames.oo.OOSGDomain
addQValue(Action, double) - Method in class burlap.behavior.singleagent.learning.tdmethods.QLearningStateNode: Adds a Q-value to this state with the given numeric Q-value.
addRBF(RBF) - Method in class burlap.behavior.functionapproximation.dense.rbf.RBFFeatures: Adds the specified RBF unit to the list of RBF units.
addRBFs(List<RBF>) - Method in class burlap.behavior.functionapproximation.dense.rbf.RBFFeatures: Adds all of the specified RBF units to this object's list of RBF units.
addRenderLayer(RenderLayer) - Method in class burlap.visualizer.MultiLayerRenderer: Adds the specified RenderLayer to the end of the render layer ordered list.
addReward(double) - Method in class burlap.behavior.singleagent.Episode: Adds a reward to the reward sequence.
addSpecificObjectPainter(String, ObjectPainter) - Method in class burlap.visualizer.OOStatePainter: Adds a painter that will be used to paint a specific object in states
addStandardThrustActions() - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain: Adds two standard thrust actions.
addState(State) - Method in class burlap.behavior.singleagent.Episode: Adds a state to the state sequence.
addStateClass(String, Class<?>) - Method in interface burlap.mdp.core.oo.OODomain: Adds the Java class definition for an OO-MDP class with the given name
addStateClass(String, Class<?>) - Method in class burlap.mdp.singleagent.oo.OOSADomain
addStateClass(String, Class<?>) - Method in class burlap.mdp.stochasticgames.oo.OOSGDomain
AddStateObjectCommand - Class in burlap.shell.command.env: A ShellCommand for adding an OO-MDP object to the current Environment State.
AddStateObjectCommand(Domain) - Constructor for class burlap.shell.command.env.AddStateObjectCommand
AddStateObjectSGCommand - Class in burlap.shell.command.world: A ShellCommand for adding an OO-MDP object to the current World State.
AddStateObjectSGCommand(Domain) - Constructor for class burlap.shell.command.world.AddStateObjectSGCommand
addStatePainter(StatePainter) - Method in class burlap.visualizer.StateRenderLayer: Adds a static painter for the domain.
addStatePainter(StatePainter) - Method in class burlap.visualizer.Visualizer: Adds a static painter for the domain.
addStatesToStateSpace(Collection<State>) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableVI: Adds a Collection of states over which VI will iterate.
addStateToStateSpace(State) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.DifferentiableVI: Adds the given state to the state space over which VI iterates.
addSuccessor(UCTStateNode) - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTActionNode: Adds a successor node to the list of possible successors
addTerminals(int...) - Method in class burlap.domain.singleagent.graphdefined.GraphTF: Adds additional terminal states
addThrustActionWithThrust(double) - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain: Adds a thrust action with thrust force t
addTilingsForAllDimensionsWithWidths(double[], int, TilingArrangement) - Method in class burlap.behavior.functionapproximation.sparse.tilecoding.TileCodingFeatures: Adss a number of tilings where each tile is dependent on *all* the dimensions of a state feature vector.
addTilingsForDimensionsAndWidths(boolean[], double[], int, TilingArrangement) - Method in class burlap.behavior.functionapproximation.sparse.tilecoding.TileCodingFeatures: Adss a number of tilings where each tile is dependent on the dimensions that are labeled as "true" in the dimensionMask parameter.
addToVector(double[], double[]) - Static method in class burlap.behavior.singleagent.learnfromdemo.mlirl.MLIRL: Performs a vector addition and stores the results in sumVector
addToWhiteList(Object) - Method in class burlap.behavior.functionapproximation.dense.NumericVariableFeatures
addVariableMasks(Object...) - Method in class burlap.statehashing.masked.MaskedConfig: Adds masks for specific state variables.
addVariableMasks(Object...) - Method in class burlap.statehashing.masked.MaskedHashableStateFactory: Adds masks for specific state variables.
addWorldObserver(WorldObserver) - Method in class burlap.mdp.stochasticgames.world.World: Adds a world observer to this world
aerAvgSeries - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.AgentDatasets: All trial's average average reward per episode series data
aerAvgSeries - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.AgentDatasets: All trial's average average reward per episode series data
agent - Variable in class burlap.domain.singleagent.blockdude.state.BlockDudeState
agent - Variable in class burlap.domain.singleagent.frostbite.state.FrostbiteState
agent - Variable in class burlap.domain.singleagent.gridworld.state.GridWorldState
agent - Variable in class burlap.domain.singleagent.lunarlander.state.LLState
agent_cleanup() - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent
agent_end(double) - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent
agent_init(String) - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent
agent_message(String) - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent
agent_start(Observation) - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent
agent_step(double, Observation) - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgent
agentAction(int, int) - Method in class burlap.behavior.stochasticgames.GameEpisode: Returns the action taken for the given agent at the given time step where t=0 refers to the joint action taken in the initial state.
agentCumulativeReward - Variable in class burlap.mdp.stochasticgames.world.World
AgentDatasets(String) - Constructor for class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.AgentDatasets: Initializes the datastructures for an agent with the given name
AgentDatasets(String) - Constructor for class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.AgentDatasets: Initializes the datastructures for an agent with the given name
agentDefinitions - Variable in class burlap.behavior.stochasticgames.agents.madp.MADPPlannerFactory.MAVIPlannerFactory: The agent definitions for which planning is performed.
agentDefinitions - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.MADynamicProgramming: The agent types
agentFactories - Variable in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter: The array of agent factories for the agents to be compared.
agentFactoriesAndTypes - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentExperimenter: The agent factories for the agents to be tested
agentFactory - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.AgentFactoryAndType
AgentFactory - Interface in burlap.mdp.stochasticgames.agent: An interface for generating agents
AgentFactoryAndType - Class in burlap.behavior.stochasticgames.auxiliary.performance: A pair storing an agent factory and the agent type that the generated agent will join the world as.
AgentFactoryAndType(AgentFactory, SGAgentType) - Constructor for class burlap.behavior.stochasticgames.auxiliary.performance.AgentFactoryAndType: Initializes
AgentFactoryWithSubjectiveReward - Class in burlap.mdp.stochasticgames.common: An agent generating factory that will produce an agent that uses an internal subjective reward function.
AgentFactoryWithSubjectiveReward(AgentFactory, JointRewardFunction) - Constructor for class burlap.mdp.stochasticgames.common.AgentFactoryWithSubjectiveReward: Initializes the factory.
agentId - Variable in class burlap.mdp.stochasticgames.tournament.MatchEntry
agentName - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.DatasetsAndTrials: The name of the agent
agentName(int, OOState) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics
agentName() - Method in interface burlap.mdp.stochasticgames.agent.SGAgent: Returns this agent's name
agentName() - Method in class burlap.mdp.stochasticgames.agent.SGAgentBase: Returns this agent's name
agentNum - Variable in class burlap.behavior.stochasticgames.agents.interfacing.singleagent.LearningAgentToSGAgentInterface
agentNum - Variable in class burlap.behavior.stochasticgames.agents.madp.MultiAgentDPPlanningAgent
agentNum - Variable in class burlap.behavior.stochasticgames.agents.maql.MultiAgentQLearning
agentNum - Variable in class burlap.behavior.stochasticgames.agents.naiveq.SGNaiveQLAgent
agentNum - Variable in class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.GrimTrigger
agentNum - Variable in class burlap.behavior.stochasticgames.agents.twoplayer.repeatedsinglestage.TitForTat
agentNum - Variable in class burlap.behavior.stochasticgames.agents.twoplayer.singlestage.equilibriumplayer.EquilibriumPlayingSGAgent
agentNum - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.MADynamicProgramming.BackupBasedQSource: The agent for which this value function is assigned.
AgentPainter(int, int) - Constructor for class burlap.domain.singleagent.blockdude.BlockDudeVisualizer.AgentPainter: Initializes.
AgentPainter(int) - Constructor for class burlap.domain.singleagent.frostbite.FrostbiteVisualizer.AgentPainter
AgentPainter(LunarLanderDomain.LLPhysicsParams) - Constructor for class burlap.domain.singleagent.lunarlander.LLVisualizer.AgentPainter
AgentPainter(MountainCar.MCPhysicsParams) - Constructor for class burlap.domain.singleagent.mountaincar.MountainCarVisualizer.AgentPainter: Initializes with the mountain car physics used
AgentPayoutFunction() - Constructor for class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.AgentPayoutFunction
agentQSource(int) - Method in interface burlap.behavior.stochasticgames.madynamicprogramming.AgentQSourceMap: Returns a QSource which can be used to query the Q-values of a given agent.
agentQSource(int) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.AgentQSourceMap.HashMapAgentQSourceMap
agentQSource(int) - Method in class burlap.behavior.stochasticgames.madynamicprogramming.AgentQSourceMap.MAQLControlledQSourceMap
AgentQSourceMap - Interface in burlap.behavior.stochasticgames.madynamicprogramming: Multiagent value function planning typicall entails storing a separate Q value for each joint action for each agent.
AgentQSourceMap.HashMapAgentQSourceMap - Class in burlap.behavior.stochasticgames.madynamicprogramming: An implementation of the AgentQSourceMap in which the sources are specified by a hash map.
AgentQSourceMap.MAQLControlledQSourceMap - Class in burlap.behavior.stochasticgames.madynamicprogramming: An implementation of the AgentQSourceMap in which different agent objects each maintain their own personal Q-source.
agentReward(int, int) - Method in class burlap.behavior.stochasticgames.GameEpisode: Returns the reward received for the agent with the given name at the given step.
agents - Variable in class burlap.mdp.stochasticgames.tournament.Tournament
agents - Variable in class burlap.mdp.stochasticgames.world.World
agentsEqual(OOState, OOState) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics: Returns true if the agent objects between these two states are equal
agentsInJointPolicy - Variable in class burlap.behavior.stochasticgames.JointPolicy: The agent definitions that define the set of possible joint actions in each state.
agentSize - Variable in class burlap.domain.singleagent.frostbite.FrostbiteModel
agentSize - Variable in class burlap.domain.singleagent.frostbite.FrostbiteVisualizer.AgentPainter
agentsSynchronizedSoFar - Variable in class burlap.behavior.stochasticgames.JointPolicy: The agents whose actions have been synchronized so far
agentTrials - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter: contains all trial data for each agent
agentType() - Method in interface burlap.mdp.stochasticgames.agent.SGAgent: Returns this agent's type
agentType - Variable in class burlap.mdp.stochasticgames.agent.SGAgentBase
agentType() - Method in class burlap.mdp.stochasticgames.agent.SGAgentBase: Returns this agent's type
agentType - Variable in class burlap.mdp.stochasticgames.tournament.MatchEntry
agentWiseData - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter: Datastructure for maintaining data for each agent playing in the game.
agentWithName(String) - Method in class burlap.mdp.stochasticgames.world.World: Returns the agent with the given name, or null if there is no agent with that name.
aId - Variable in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphActionType: The action number of this action
aId - Variable in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphActionType.GraphAction
AliasCommand - Class in burlap.shell.command.reserved: A reserved ShellCommand for creating a command alias for a given command.
AliasCommand() - Constructor for class burlap.shell.command.reserved.AliasCommand
aliases - Variable in class burlap.shell.BurlapShell
AliasesCommand - Class in burlap.shell.command.reserved: A reserved ShellCommand for listing the set of aliases the shell knows.
AliasesCommand() - Constructor for class burlap.shell.command.reserved.AliasesCommand
aliasPointer(String) - Method in class burlap.shell.BurlapShell
allActions - Variable in class burlap.mdp.core.action.UniversalActionType: The list single element list of the Action to be returned by the UniversalActionType.allApplicableActions(State) method.
allActionTypes - Variable in class burlap.behavior.singleagent.learning.modellearning.rmax.UnmodeledFavoredPolicy
allApplicableActions(State) - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain.RLGlueActionType
allApplicableActions(State) - Method in class burlap.behavior.singleagent.options.OptionType
allApplicableActions(State) - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphActionType
allApplicableActions(State) - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.ThrustType
allApplicableActions(State) - Method in interface burlap.mdp.core.action.ActionType: Returns all possible actions of this type that can be applied in the provided State.
allApplicableActions(State) - Method in class burlap.mdp.core.action.UniversalActionType
allApplicableActions(State) - Method in class burlap.mdp.singleagent.oo.ObjectParameterizedActionType
allApplicableActionsForTypes(List<ActionType>, State) - Static method in class burlap.mdp.core.action.ActionUtils: Returns all Actions that are applicable in the given State for all ActionType objects in the provided list.
allGroundings(OOState) - Method in class burlap.mdp.core.oo.propositional.PropositionalFunction: Returns all possible groundings of this PropositionalFunction for the given State
allGroundingsFromList(List<PropositionalFunction>, OOState) - Static method in class burlap.mdp.core.oo.propositional.PropositionalFunction: Returns all possible groundings for all of the PropositionalFunctions in the provided list for the given State.
allJointActionsHelper(List<List<Action>>, int, LinkedList<Action>, List<JointAction>) - Static method in class burlap.mdp.stochasticgames.JointAction
allObservations() - Method in class burlap.domain.singleagent.pomdp.tiger.TigerObservations
allObservations() - Method in interface burlap.mdp.singleagent.pomdp.observations.DiscreteObservationFunction: Returns a List containing all possible observations.
allowActionFromTerminalStates - Variable in class burlap.mdp.singleagent.environment.SimulatedEnvironment: A flag indicating whether the environment will respond to actions from a terminal state.
AllPairWiseSameTypeMS - Class in burlap.mdp.stochasticgames.tournament.common: This class defines a MatchSelctory that plays all pairwise matches of agents in a round robin.
AllPairWiseSameTypeMS(SGAgentType, int) - Constructor for class burlap.mdp.stochasticgames.tournament.common.AllPairWiseSameTypeMS: Initializes the selector
AlphanumericSorting - Class in burlap.datastructures
AlphanumericSorting() - Constructor for class burlap.datastructures.AlphanumericSorting
alreadyInitedGUI - Variable in class burlap.behavior.singleagent.auxiliary.EpisodeSequenceVisualizer
alreadyInitedGUI - Variable in class burlap.behavior.stochasticgames.auxiliary.GameSequenceVisualizer
anginc - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.LLPhysicsParams: The change in orientation angle the lander makes when a turn/rotate action is taken
angle - Variable in class burlap.domain.singleagent.cartpole.states.InvertedPendulumState
angle - Variable in class burlap.domain.singleagent.lunarlander.state.LLAgent
angleRange - Variable in class burlap.domain.singleagent.cartpole.CartPoleDomain.CPPhysicsParams: The maximum radius the pole can fall.
angleRange - Variable in class burlap.domain.singleagent.cartpole.InvertedPendulum.IPPhysicsParams: The maximum radius the pole can fall.
angleV - Variable in class burlap.domain.singleagent.cartpole.states.InvertedPendulumState
angmax - Variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.LLPhysicsParams: The maximum angle the lander can be rotated in either the clockwise or counterclockwise direction
AnnotatedAction - Class in burlap.behavior.policy.support
AnnotatedAction() - Constructor for class burlap.behavior.policy.support.AnnotatedAction
AnnotatedAction(Action, String) - Constructor for class burlap.behavior.policy.support.AnnotatedAction
annotation - Variable in class burlap.behavior.policy.support.AnnotatedAction
appendAndMergeEpisodeAnalysis(Episode) - Method in class burlap.behavior.singleagent.Episode: This method will append execution results in e to this object's results.
appendHashCodeForValue(HashCodeBuilder, Object, Object) - Method in class burlap.statehashing.discretized.IDDiscHashableState
appendHashCodeForValue(HashCodeBuilder, Object, Object) - Method in class burlap.statehashing.discretized.IIDiscHashableState
appendHashCodeForValue(HashCodeBuilder, Object, Object) - Method in class burlap.statehashing.masked.IDMaskedHashableState
appendHashCodeForValue(HashCodeBuilder, Object, Object) - Method in class burlap.statehashing.masked.IIMaskedHashableState
appendHashCodeForValue(HashCodeBuilder, Object, Object) - Method in class burlap.statehashing.maskeddiscretized.IDDiscMaskedHashableState
appendHashCodeForValue(HashCodeBuilder, Object, Object) - Method in class burlap.statehashing.maskeddiscretized.IIDiscMaskedHashableState
appendHashCodeForValue(HashCodeBuilder, Object, Object) - Method in class burlap.statehashing.simple.IDSimpleHashableState
appendHashCodeForValue(HashCodeBuilder, Object, Object) - Method in class burlap.statehashing.simple.IISimpleHashableState
applicableActions(State) - Method in class burlap.behavior.singleagent.MDPSolver: Returns all applicable actions in the provided state for all the actions that this MDP Solver can use.
applicableInState(State, ObjectParameterizedAction) - Method in class burlap.domain.singleagent.blocksworld.BlocksWorld.StackActionType
applicableInState(State, ObjectParameterizedAction) - Method in class burlap.domain.singleagent.blocksworld.BlocksWorld.UnstackActionType
applicableInState(State) - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphActionType
applicableInState(State, ObjectParameterizedAction) - Method in class burlap.mdp.singleagent.oo.ObjectParameterizedActionType: Indicates whether the input action can be applied in the state
apply(double[]) - Method in class burlap.behavior.singleagent.planning.stochastic.dpoperator.BellmanOperator
apply(double[]) - Method in interface burlap.behavior.singleagent.planning.stochastic.dpoperator.DPOperator: Applies the operator on the input q-values and returns the result.
apply(double[]) - Method in class burlap.behavior.singleagent.planning.stochastic.dpoperator.SoftmaxOperator
ApprenticeshipLearning - Class in burlap.behavior.singleagent.learnfromdemo.apprenticeship: This algorithm will take expert trajectors and return a policy that models them.
ApprenticeshipLearning.StationaryRandomDistributionPolicy - Class in burlap.behavior.singleagent.learnfromdemo.apprenticeship: This class extends Policy.
ApprenticeshipLearningRequest - Class in burlap.behavior.singleagent.learnfromdemo.apprenticeship: A data structure for setting all the parameters of Max Margin Apprenticeship learning.
ApprenticeshipLearningRequest() - Constructor for class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest
ApprenticeshipLearningRequest(SADomain, Planner, DenseStateFeatures, List<Episode>, StateGenerator) - Constructor for class burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearningRequest
area - Variable in class burlap.shell.visual.TextAreaStreams
arrayIndexForStepsBack(int) - Method in class burlap.behavior.stochasticgames.agents.naiveq.history.HistoryState
arrayIndexMap - Variable in class burlap.datastructures.HashIndexedHeap: Hash map from objects to their index in the heap
ArrowActionGlyph - Class in burlap.behavior.singleagent.auxiliary.valuefunctionvis.common: An instance of the ActionGlyphPainter that will render arrows to the graphics context.
ArrowActionGlyph(int) - Constructor for class burlap.behavior.singleagent.auxiliary.valuefunctionvis.common.ArrowActionGlyph: creates an arrow action glyph painter in the specified direction
ARTDP - Class in burlap.behavior.singleagent.learning.modellearning.artdp: This class provides an implementation of Adaptive Realtime Dynamic Programming [1].
ARTDP(SADomain, double, HashableStateFactory, double) - Constructor for class burlap.behavior.singleagent.learning.modellearning.artdp.ARTDP: Initializes using a tabular model of the world and a Boltzmann policy with a fixed temperature of 0.1.
ARTDP(SADomain, double, HashableStateFactory, ValueFunction) - Constructor for class burlap.behavior.singleagent.learning.modellearning.artdp.ARTDP: Initializes using a tabular model of the world and a Boltzmann policy with a fixed temperature of 0.1.
ARTDP(SADomain, double, HashableStateFactory, LearnedModel, ValueFunction) - Constructor for class burlap.behavior.singleagent.learning.modellearning.artdp.ARTDP: Initializes using the provided model algorithm and a Boltzmann policy with a fixed temperature of 0.1.
assertPFs(State, boolean[]) - Method in class burlap.testing.TestGridWorld
associatedAction(String) - Method in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueDomain.RLGlueActionType
associatedAction(String) - Method in class burlap.behavior.singleagent.options.OptionType
associatedAction(String) - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.GraphActionType
associatedAction(String) - Method in class burlap.domain.singleagent.lunarlander.LunarLanderDomain.ThrustType
associatedAction(String) - Method in interface burlap.mdp.core.action.ActionType: Returns an Action whose parameters are specified by the given String representation (if the ActionType manages multiple parameterizations)
associatedAction(String) - Method in class burlap.mdp.core.action.UniversalActionType
associatedAction(String) - Method in class burlap.mdp.singleagent.oo.ObjectParameterizedActionType
AStar - Class in burlap.behavior.singleagent.planning.deterministic.informed.astar: An implementation of A*.
AStar(SADomain, StateConditionTest, HashableStateFactory, Heuristic) - Constructor for class burlap.behavior.singleagent.planning.deterministic.informed.astar.AStar: Initializes A*.
at - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.AgentFactoryAndType
at - Variable in class burlap.mdp.stochasticgames.tournament.common.AllPairWiseSameTypeMS
AtExitPF() - Constructor for class burlap.domain.singleagent.blockdude.BlockDude.AtExitPF
AtLocationPF(String, String[]) - Constructor for class burlap.domain.singleagent.gridworld.GridWorldDomain.AtLocationPF: Initializes with given name domain and parameter object class types
ATT_V - Static variable in class burlap.domain.singleagent.mountaincar.MountainCar: A constant for the name of the velocity attribute
ATT_X - Static variable in class burlap.domain.singleagent.mountaincar.MountainCar: A constant for the name of the x attribute
attemptedDelta(String) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics: Returns the attempted change in position by the agent for the given action.
autoRecord - Variable in class burlap.shell.command.env.EpisodeRecordingCommands
averageEpisodeReward - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.Trial: Stores the average reward by episode
averageEpisodeReward - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.Trial: Stores the average reward by episode
averageEpisodeRewardSeries - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.AgentDatasets: Most recent trial's average reward per step episode data
averageEpisodeRewardSeries - Variable in class burlap.behavior.stochasticgames.auxiliary.performance.MultiAgentPerformancePlotter.AgentDatasets: Most recent trial's average reward per step episode data
averageReturn() - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCTActionNode: Returns the average return
averagesEnabled() - Method in enum burlap.behavior.singleagent.auxiliary.performance.TrialMode: Returns true if the trial average plots will be plotted by this mode.

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