H-Index

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H

h - Variable in class burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.DifferentiableSparseSampling: The height of the tree
h(State) - Method in interface burlap.behavior.singleagent.planning.deterministic.informed.Heuristic: Returns the estimated amount of reward that will be received when following the optimal policy from the given state.
h(State) - Method in class burlap.behavior.singleagent.planning.deterministic.informed.NullHeuristic
h - Variable in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling: The height of the tree
halfPoleLength - Variable in class burlap.domain.singleagent.cartpole.CartPoleDomain.CPPhysicsParams: The half length of the pole.
halfTrackLength - Variable in class burlap.domain.singleagent.cartpole.CartPoleDomain.CPPhysicsParams
handleEpisodeSelection(ListSelectionEvent) - Method in class burlap.behavior.singleagent.EpisodeSequenceVisualizer
handleExecute() - Method in class burlap.oomdp.singleagent.explorer.VisualExplorer: Handles action execute button.
handleIterationSelection(ListSelectionEvent) - Method in class burlap.behavior.singleagent.EpisodeSequenceVisualizer
handleKeyPressed(KeyEvent) - Method in class burlap.oomdp.singleagent.explorer.VisualExplorer: Handles key presses
hasAttribute(Attribute) - Method in class burlap.oomdp.core.ObjectClass: Return whether this object class is defined by the given attribute
hasAttribute(String) - Method in class burlap.oomdp.core.ObjectClass: Return whether this object class is defined by the attribute with the given name
hasCachedPlanForState(State) - Method in class burlap.behavior.singleagent.planning.deterministic.DeterministicPlanner: Returns whether the planner has a plan solution from the provided state.
hasComputedValueFor(State) - Method in class burlap.behavior.singleagent.planning.ValueFunctionPlanner: Returns whether a value for the given state has been computed previously.
hasDiscAtts - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueWrappedDomainGenerator
hasFinishedLastEpisode - Variable in class burlap.behavior.stochasticgame.auxiliary.performance.MultiAgentPerformancePlotter.Trial
hasFinishedLastEpisode() - Method in class burlap.behavior.stochasticgame.auxiliary.performance.MultiAgentPerformancePlotter.Trial: Indicates whether the data finalization for the current episode has been performed.
hashCode() - Method in class burlap.behavior.singleagent.planning.deterministic.informed.PrioritizedSearchNode
hashCode() - Method in class burlap.behavior.singleagent.planning.deterministic.SearchNode
hashCode() - Method in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling.HashedHeightState
hashCode() - Method in class burlap.behavior.singleagent.planning.stochastic.valueiteration.PrioritizedSweeping.BPTRNode
hashCode - Variable in class burlap.behavior.singleagent.vfa.cmac.FVTiling.FVTile
hashCode() - Method in class burlap.behavior.singleagent.vfa.cmac.FVTiling.FVTile
hashCode - Variable in class burlap.behavior.singleagent.vfa.cmac.Tiling.ObjectTile: The hash code for fast storage and retrieval
hashCode() - Method in class burlap.behavior.singleagent.vfa.cmac.Tiling.ObjectTile
hashCode - Variable in class burlap.behavior.singleagent.vfa.cmac.Tiling.StateTile: A hash code for this tiling for fast storage
hashCode() - Method in class burlap.behavior.singleagent.vfa.cmac.Tiling.StateTile
hashCode - Variable in class burlap.behavior.statehashing.StateHashTuple
hashCode() - Method in class burlap.behavior.statehashing.StateHashTuple
hashCode() - Method in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain.NodeTransitionProbibility
hashCode() - Method in class burlap.domain.singleagent.gridworld.GridWorldTerminalFunction.IntPair
hashCode() - Method in class burlap.domain.stochasticgames.normalform.SingleStageNormalFormGame.StrategyProfile
hashCode() - Method in class burlap.oomdp.core.Attribute
hashCode() - Method in class burlap.oomdp.core.ObjectInstance
hashCode() - Method in class burlap.oomdp.core.PropositionalFunction
hashCode() - Method in class burlap.oomdp.singleagent.Action
hashCode() - Method in class burlap.oomdp.singleagent.GroundedAction
hashCode() - Method in class burlap.oomdp.stochasticgames.AgentType
hashCode() - Method in class burlap.oomdp.stochasticgames.GroundedSingleAction
hashCode() - Method in class burlap.oomdp.stochasticgames.JointAction
hashCode() - Method in class burlap.oomdp.stochasticgames.SingleAction
HashedAggregator<K> - Class in burlap.datastructures: Datasturcutre for maintaining numeric aggregated values for different keys.
HashedAggregator() - Constructor for class burlap.datastructures.HashedAggregator: Initializes with initial value for each key being 0.0.
HashedAggregator(double) - Constructor for class burlap.datastructures.HashedAggregator: Initializes with the given initial value for each key.
HashedTransitionProbability - Class in burlap.behavior.singleagent.planning: An analog to the TransitionProbability, except it stores StateHashTuple objects instead of State objects.
HashedTransitionProbability(StateHashTuple, double) - Constructor for class burlap.behavior.singleagent.planning.HashedTransitionProbability: Initializes with a StateHashTuple and probability for the transition
HashedTransitionProbability(State, double, StateHashFactory) - Constructor for class burlap.behavior.singleagent.planning.HashedTransitionProbability: Takes a State object, hashes it, and sets the transition probability to the hashed state to p
HashedTransitionProbability(TransitionProbability, StateHashFactory) - Constructor for class burlap.behavior.singleagent.planning.HashedTransitionProbability: Takes a TransitionProbability and hashes its state using the hashingFactory object
hashFactory - Variable in class burlap.behavior.stochasticgame.agents.naiveq.SGNaiveQLAgent: The state hashing factory to use.
HashIndexedHeap<T> - Class in burlap.datastructures: An implementation of a hash map backed heap/priority queue.
HashIndexedHeap(Comparator<T>) - Constructor for class burlap.datastructures.HashIndexedHeap: Initializes the heap with a comparator
HashIndexedHeap(Comparator<T>, int) - Constructor for class burlap.datastructures.HashIndexedHeap: Initializes the heap with a comparator and an initial capacity size
hashingFactory - Variable in class burlap.behavior.learningrate.ExponentialDecayLR: How to hash and perform equality checks of states
hashingFactory - Variable in class burlap.behavior.learningrate.SoftTimeInverseDecayLR: How to hash and perform equality checks of states
hashingFactory - Variable in class burlap.behavior.singleagent.auxiliary.StateEnumerator: The hashing factory used to hash states and perform equality tests
hashingFactory - Variable in class burlap.behavior.singleagent.learnbydemo.mlirl.support.QGradientPlannerFactory.DifferentiableVIFactory: The StateHashFactory used by the planner.
hashingFactory - Variable in class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor: The hashing factory used to hash states and evaluate state equality
hashingFactory - Variable in class burlap.behavior.singleagent.learning.actorcritic.critics.TDLambda: The state hashing factor used for hashing states and performing state equality checks.
hashingFactory - Variable in class burlap.behavior.singleagent.learning.modellearning.modelplanners.VIModelPlanner: The hashing factory to use
hashingFactory - Variable in class burlap.behavior.singleagent.learning.modellearning.models.TabularModel: The hashing factory to use for indexing states
hashingFactory - Variable in class burlap.behavior.singleagent.planning.commonpolicies.CachedPolicy: The hashing factory to use for indexing states
hashingFactory - Variable in class burlap.behavior.singleagent.planning.OOMDPPlanner: The hashing factory to use for hashing states
hashingFactory - Variable in class burlap.behavior.stochasticgame.agents.maql.MAQLFactory
hashingFactory - Variable in class burlap.behavior.stochasticgame.agents.maql.MultiAgentQLearning: The state hashing factory used to index Q-values by state
hashingFactory - Variable in class burlap.behavior.stochasticgame.agents.mavf.MAVFPlannerFactory.MAVIPlannerFactory: The state hashing factory used to query the value function for individual states
hashingFactory - Variable in class burlap.behavior.stochasticgame.mavaluefunction.MAValueFunctionPlanner: The state hashing factory used to query the value function for individual states
hashingFactory - Variable in class burlap.behavior.stochasticgame.mavaluefunction.QSourceForSingleAgent.HashBackedQSource
hashState(State) - Method in class burlap.behavior.statehashing.DiscreteMaskHashingFactory
hashState(State) - Method in class burlap.behavior.statehashing.DiscreteStateHashFactory
hashState(State) - Method in class burlap.behavior.statehashing.DiscretizingStateHashFactory
hashState(State) - Method in class burlap.behavior.statehashing.NameDependentStateHashFactory
hashState(State) - Method in interface burlap.behavior.statehashing.StateHashFactory
hasOffset - Variable in class burlap.behavior.singleagent.vfa.rbf.FVRBFFeatureDatabase: Specifies whether an offset RBF unit with a constant response value is included in the feature set.
hasOffset - Variable in class burlap.behavior.singleagent.vfa.rbf.RBFFeatureDatabase: Specifies whether an offset RBF unit with a constant response value is included in the feature set.
hasRealAtts - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueWrappedDomainGenerator
hasRunVI - Variable in class burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.DifferentiableVI: Indicates whether VI has been run or not
hasRunVI - Variable in class burlap.behavior.singleagent.planning.stochastic.valueiteration.ValueIteration
hasStartedPlanning() - Method in class burlap.behavior.stochasticgame.mavaluefunction.MAValueFunctionPlanner: Indicates whether planning has begun or not.
height - Variable in class burlap.behavior.singleagent.planning.stochastic.sparsesampling.SparseSampling.HashedHeightState: The height of the state
height - Variable in class burlap.domain.singleagent.gridworld.GridWorldDomain: The height of grid world
height - Variable in class burlap.domain.singleagent.gridworld.GridWorldRewardFunction
HEIGHTATTNAME - Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain: Attribute name for height
heuristic - Variable in class burlap.behavior.singleagent.planning.deterministic.informed.astar.AStar: The heuristic function.
heuristic - Variable in class burlap.behavior.singleagent.planning.deterministic.informed.astar.IDAStar: The heuristic to use
Heuristic - Interface in burlap.behavior.singleagent.planning.deterministic.informed: An interface for defining heuristics.
hidden - Variable in class burlap.oomdp.core.Attribute: whether this value is part of the state representation or is hidden from the agent
hidden - Variable in class burlap.oomdp.core.ObjectClass
hiddenObjectInstances - Variable in class burlap.oomdp.core.State: List of hidden object instances that facilitate domain dynamics and infer observable values
history - Variable in class burlap.behavior.stochasticgame.agents.naiveq.history.SGQWActionHistory: the joint action history
historySize - Variable in class burlap.behavior.stochasticgame.agents.naiveq.history.SGQWActionHistory: The size of action history to store.
historySize - Variable in class burlap.behavior.stochasticgame.agents.naiveq.history.SGQWActionHistoryFactory: How much history the agent should remember
horizontal1DNorthWall(int, int, int) - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain: Creates a sequence of 1D north walls spanning the specified start and end x coordinates.
horizontalWall(int, int, int) - Method in class burlap.domain.singleagent.gridworld.GridWorldDomain: Creates a sequence of complete cell walls spanning the specified start and end x coordinates.

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