- wallCollision(GridGameStandardMechanics.Location2, GridGameStandardMechanics.Location2, List<ObjectInstance>, boolean) - Method in class burlap.domain.stochasticgames.gridgame.GridGameStandardMechanics
-
Indicates whether there are any wall collisions.
- wallSegment(int[][], int, int, int) - Static method in class burlap.domain.singleagent.blockdude.BlockDudeLevelConstructor
-
- warningMessage - Variable in class burlap.oomdp.singleagent.explorer.VisualExplorer
-
- warningMessage - Variable in class burlap.oomdp.stochasticgames.explorers.SGVisualExplorer
-
- weight - Variable in class burlap.behavior.singleagent.learning.tdmethods.vfa.GradientDescentSarsaLam.EligibilityTraceVector
-
The VFA weight being traced
- WeightedGreedy - Class in burlap.behavior.singleagent.planning.deterministic.informed.astar
-
A weighted greedy search in which the g(n) function (the cost to the current node) is weighted by a fraction 0 <= w <= 1.
- WeightedGreedy(Domain, RewardFunction, StateConditionTest, StateHashFactory, Heuristic, double) - Constructor for class burlap.behavior.singleagent.planning.deterministic.informed.astar.WeightedGreedy
-
Initializes the planner.
- WeightGradient - Class in burlap.behavior.singleagent.vfa
-
A data structure for defining the gradient of the weights for a vector.
- WeightGradient() - Constructor for class burlap.behavior.singleagent.vfa.WeightGradient
-
Initializes with the gradient unspecified for any weights.
- WeightGradient(int) - Constructor for class burlap.behavior.singleagent.vfa.WeightGradient
-
Initializes with the gradient unspecified, but reserves space for the given capacity
- weightId - Variable in class burlap.behavior.singleagent.vfa.FunctionWeight
-
The int value that uniquely identifies this weight
- weightId() - Method in class burlap.behavior.singleagent.vfa.FunctionWeight
-
Returns the weight identifier
- weights - Variable in class burlap.behavior.singleagent.vfa.common.LinearVFA
-
A map from feature identifiers to function weights
- weightValue - Variable in class burlap.behavior.singleagent.vfa.FunctionWeight
-
The value of this weight.
- weightValue() - Method in class burlap.behavior.singleagent.vfa.FunctionWeight
-
Returns the weight value
- WekaInterfaces - Class in burlap.datastructures
-
Class that includes general methods for interfacing BURLAP with Weka, in particular for turning sets of states
into a Weka data set that can then be used with Weka learning algorithms.
- WekaInterfaces() - Constructor for class burlap.datastructures.WekaInterfaces
-
- WekaInterfaces.WekaClassifierGenerator - Interface in burlap.datastructures
-
- WekaVFATrainer - Class in burlap.behavior.singleagent.planning.vfa.fittedvi
-
A class for using supervised learning algorithms provided by the Weka library for fitted value iteration.
- WekaVFATrainer(WekaVFATrainer.WekaClassifierGenerator, StateToFeatureVectorGenerator) - Constructor for class burlap.behavior.singleagent.planning.vfa.fittedvi.WekaVFATrainer
-
Initializes.
- WekaVFATrainer.WekaClassifierGenerator - Interface in burlap.behavior.singleagent.planning.vfa.fittedvi
-
An interface for generating Weka Classifier objects to use for training.
- WekaVFATrainer.WekaVFA - Class in burlap.behavior.singleagent.planning.vfa.fittedvi
-
A class for predicting state values by using a trained Weka Classifier.
- WekaVFATrainer.WekaVFA(StateToFeatureVectorGenerator, Classifier) - Constructor for class burlap.behavior.singleagent.planning.vfa.fittedvi.WekaVFATrainer.WekaVFA
-
Initializes.
- width - Variable in class burlap.domain.singleagent.gridworld.GridWorldDomain
-
The width of the grid world
- width - Variable in class burlap.domain.singleagent.gridworld.GridWorldRewardFunction
-
- widths - Variable in class burlap.behavior.singleagent.vfa.cmac.FVTiling
-
The width of each dimension in this tiling
- windowSize - Variable in class burlap.behavior.singleagent.vfa.cmac.AttributeTileSpecification
-
How large of a window to use; i.e., the width a tile along this attribute dimension
- world - Variable in class burlap.oomdp.stochasticgames.Agent
-
- World - Class in burlap.oomdp.stochasticgames
-
This class provides a means to have agents play against each other and synchronize all of their actions and observations.
- World(SGDomain, JointActionModel, JointReward, TerminalFunction, SGStateGenerator) - Constructor for class burlap.oomdp.stochasticgames.World
-
Deprecated.
- World(SGDomain, JointReward, TerminalFunction, SGStateGenerator) - Constructor for class burlap.oomdp.stochasticgames.World
-
Initializes the world.
- World(SGDomain, JointActionModel, JointReward, TerminalFunction, SGStateGenerator, StateAbstraction) - Constructor for class burlap.oomdp.stochasticgames.World
-
Deprecated.
- World(SGDomain, JointReward, TerminalFunction, SGStateGenerator, StateAbstraction) - Constructor for class burlap.oomdp.stochasticgames.World
-
Initializes the world
- worldAgentName - Variable in class burlap.oomdp.stochasticgames.Agent
-
- worldGenerator - Variable in class burlap.behavior.stochasticgame.auxiliary.performance.MultiAgentExperimenter
-
A world generated for created a new world for each testing trial
- worldGenerator - Variable in class burlap.oomdp.stochasticgames.tournament.Tournament
-
- WorldGenerator - Interface in burlap.oomdp.stochasticgames
-
An interface for generating
World instances.
- worldModel - Variable in class burlap.oomdp.stochasticgames.tournament.common.ConstantWorldGenerator
-
- worldModel - Variable in class burlap.oomdp.stochasticgames.World
-
- WorldObserver - Interface in burlap.oomdp.stochasticgames
-
- worldObservers - Variable in class burlap.oomdp.stochasticgames.World
-
- writeEpisodeDataToCSV(String) - Method in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter
-
Writes an step-wise data to a csv file.
- writeEpisodeDataToCSV(String) - Method in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter
-
Writes the episode-wise data to a csv file.
- writeEpisodeDataToCSV(String) - Method in class burlap.behavior.stochasticgame.auxiliary.performance.MultiAgentExperimenter
-
Writes an step-wise data to a csv file.
- writeEpisodeDataToCSV(String) - Method in class burlap.behavior.stochasticgame.auxiliary.performance.MultiAgentPerformancePlotter
-
Writes the episode-wise data to a csv file.
- writeEpisodesToDisk(List<EpisodeAnalysis>, String, String, int, StateParser) - Static method in class burlap.behavior.singleagent.EpisodeAnalysis
-
- writeStepAndEpisodeDataToCSV(String) - Method in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter
-
Writes the step-wise and episode-wise data to CSV files.
- writeStepAndEpisodeDataToCSV(String) - Method in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter
-
Writes the step-wise and episode-wise data to CSV files.
- writeStepAndEpisodeDataToCSV(String) - Method in class burlap.behavior.stochasticgame.auxiliary.performance.MultiAgentExperimenter
-
Writes the step-wise and episode-wise data to CSV files.
- writeStepAndEpisodeDataToCSV(String) - Method in class burlap.behavior.stochasticgame.auxiliary.performance.MultiAgentPerformancePlotter
-
Writes the step-wise and episode-wise data to CSV files.
- writeStepDataToCSV(String) - Method in class burlap.behavior.singleagent.auxiliary.performance.LearningAlgorithmExperimenter
-
Writes an episode-wise data to a csv file.
- writeStepDataToCSV(String) - Method in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter
-
Writes the step-wise data to a csv file.
- writeStepDataToCSV(String) - Method in class burlap.behavior.stochasticgame.auxiliary.performance.MultiAgentExperimenter
-
Writes an episode-wise data to a csv file.
- writeStepDataToCSV(String) - Method in class burlap.behavior.stochasticgame.auxiliary.performance.MultiAgentPerformancePlotter
-
Writes the step-wise data to a csv file.
- writeToFile(String, StateParser) - Method in class burlap.behavior.singleagent.EpisodeAnalysis
-
Writes this episode to a file.
- writeToFile(String, StateParser) - Method in class burlap.behavior.stochasticgame.GameAnalysis
-
Writes this game to a file.