- b - Variable in class burlap.behavior.singleagent.auxiliary.performance.PerformancePlotter.MutableBoolean
-
The boolean value
- b - Variable in class burlap.behavior.stochasticgame.auxiliary.performance.MultiAgentPerformancePlotter.MutableBoolean
-
The boolean value
- backNode - Variable in class burlap.behavior.singleagent.planning.stochastic.valueiteration.PrioritizedSweeping.BPTR
-
The back pointer node
- backPointer - Variable in class burlap.behavior.singleagent.planning.deterministic.SearchNode
-
The search node for the previous state that generated this node's state.
- backPointers - Variable in class burlap.behavior.singleagent.planning.stochastic.valueiteration.PrioritizedSweeping.BPTRNode
-
- backupAllValueFunctions(State) - Method in class burlap.behavior.stochasticgame.mavaluefunction.MAValueFunctionPlanner
-
Backups the state value function for all agent's value functions in state s.
- backupOperator - Variable in class burlap.behavior.stochasticgame.agents.maql.MAQLFactory
-
- backupOperator - Variable in class burlap.behavior.stochasticgame.agents.maql.MultiAgentQLearning
-
The backup operator that defines the solution concept being learned
- backupOperator - Variable in class burlap.behavior.stochasticgame.agents.mavf.MAVFPlannerFactory.MAVIPlannerFactory
-
The backup operating defining the solution concept to use.
- backupOperator - Variable in class burlap.behavior.stochasticgame.mavaluefunction.MAValueFunctionPlanner
-
The backup operating defining the solution concept to use.
- BASEACTIONNAME - Static variable in class burlap.domain.singleagent.graphdefined.GraphDefinedDomain
-
Constant for the base name of each action
- baseClassifier - Variable in class burlap.behavior.singleagent.planning.vfa.fittedvi.WekaVFATrainer
-
The generator of the Weka Classifier to use for training.
- baseColors - Variable in class burlap.domain.singleagent.gridworld.GridWorldVisualizer.LocationPainter
-
- baseFactory - Variable in class burlap.oomdp.stochasticgames.common.AgentFactoryWithSubjectiveReward
-
- baseForce - Variable in class burlap.domain.singleagent.cartpole.InvertedPendulum.ForceAction
-
The base noise to which noise will be added.
- baseRF - Variable in class burlap.behavior.singleagent.shaping.ShapedRewardFunction
-
The base objective reward function for the task.
- baseState - Variable in class burlap.oomdp.singleagent.explorer.VisualExplorer
-
- basisValue(double[], int) - Method in class burlap.behavior.singleagent.vfa.fourier.FourierBasis
-
Returns the basis function value for the given state input for the given basis function index.
- batchRTDP(State) - Method in class burlap.behavior.singleagent.planning.stochastic.rtdp.RTDP
-
Performs Bellman updates only after a rollout is complete and in reverse order
- BATTNAME - Static variable in class burlap.domain.singleagent.lunarlander.LunarLanderDomain
-
Constant for the name of the bottom boundary attribute for rectangular obstacles and landing pads
- BestFirst - Class in burlap.behavior.singleagent.planning.deterministic.informed
-
An abstract class for implementing Best-first search planning.
- BestFirst() - Constructor for class burlap.behavior.singleagent.planning.deterministic.informed.BestFirst
-
- bestReturnAction(UCTStateNode) - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT
-
Returns the
UCTActionNode with the highest average sample Q-value.
- BFS - Class in burlap.behavior.singleagent.planning.deterministic.uninformed.bfs
-
Implements Breadth-first search.
- BFS(Domain, StateConditionTest, StateHashFactory) - Constructor for class burlap.behavior.singleagent.planning.deterministic.uninformed.bfs.BFS
-
BFS only needs reference to the domain, goal conditions, and hashing factory.
- BFSRTDP - Class in burlap.behavior.singleagent.planning.stochastic.rtdp
-
A modified version of Real-time Dynamic Programming [1] in which first a breadth-first search-like pass is made to seed the value function, and then
planning continues in the typical RTDP rollout-like fashion.
- BFSRTDP(Domain, RewardFunction, TerminalFunction, double, StateHashFactory, double, int, double, int) - Constructor for class burlap.behavior.singleagent.planning.stochastic.rtdp.BFSRTDP
-
Initializes the planner.
- BFSRTDP(Domain, RewardFunction, TerminalFunction, double, StateHashFactory, double, int, double, int, StateConditionTest) - Constructor for class burlap.behavior.singleagent.planning.stochastic.rtdp.BFSRTDP
-
Initializes the planner.
- bgColor - Variable in class burlap.oomdp.visualizer.MultiLayerRenderer
-
the background color of the canvas
- bimatrixEqualsLast(double[][], double[][]) - Method in class burlap.behavior.stochasticgame.agents.twoplayer.singlestage.equilibriumplayer.BimatrixEquilibriumSolver
-
- BimatrixEquilibriumSolver - Class in burlap.behavior.stochasticgame.agents.twoplayer.singlestage.equilibriumplayer
-
This abstract class is used for computing the strategies according to a solution concept for a single stage bimatrix game.
- BimatrixEquilibriumSolver() - Constructor for class burlap.behavior.stochasticgame.agents.twoplayer.singlestage.equilibriumplayer.BimatrixEquilibriumSolver
-
- BlockDude - Class in burlap.domain.singleagent.blockdude
-
An implementation of the Block Dude Texas Instruments calculator puzzle game.
- BlockDude() - Constructor for class burlap.domain.singleagent.blockdude.BlockDude
-
Initializes a world with a maximum 25x25 dimensionality and actions that use semi-deep state copies.
- BlockDude(int, int) - Constructor for class burlap.domain.singleagent.blockdude.BlockDude
-
Initializes a world with the maximum space dimensionality provided and actions that use semi-deep state copies.
- BlockDude.AtExitPF - Class in burlap.domain.singleagent.blockdude
-
A
PropositionalFunction that takes as arguments an agent object and an exit object
and evaluates whether the agent is at the exit.
- BlockDude.AtExitPF(Domain) - Constructor for class burlap.domain.singleagent.blockdude.BlockDude.AtExitPF
-
- BlockDude.HoldingBlockPF - Class in burlap.domain.singleagent.blockdude
-
A
PropositionalFunction that takes as arguments an agent object and a block objects and evaluates whether
the agent is holding the block.
- BlockDude.HoldingBlockPF(Domain) - Constructor for class burlap.domain.singleagent.blockdude.BlockDude.HoldingBlockPF
-
- BlockDude.MoveAction - Class in burlap.domain.singleagent.blockdude
-
A class for performing a horizontal movement either east or west.
- BlockDude.MoveAction(String, Domain, int) - Constructor for class burlap.domain.singleagent.blockdude.BlockDude.MoveAction
-
Initializes.
- BlockDude.MoveUpAction - Class in burlap.domain.singleagent.blockdude
-
And action class for performing an up movement action.
- BlockDude.MoveUpAction(Domain) - Constructor for class burlap.domain.singleagent.blockdude.BlockDude.MoveUpAction
-
- BlockDude.PickupAction - Class in burlap.domain.singleagent.blockdude
-
An action class for performing a pickup action.
- BlockDude.PickupAction(Domain) - Constructor for class burlap.domain.singleagent.blockdude.BlockDude.PickupAction
-
- BlockDude.PutdownAction - Class in burlap.domain.singleagent.blockdude
-
An action class for performing a put down action.
- BlockDude.PutdownAction(Domain) - Constructor for class burlap.domain.singleagent.blockdude.BlockDude.PutdownAction
-
- BlockDudeLevelConstructor - Class in burlap.domain.singleagent.blockdude
-
A class for generating the initial states for
BlockDude from levels
in the classic Block Dude game.
- BlockDudeLevelConstructor() - Constructor for class burlap.domain.singleagent.blockdude.BlockDudeLevelConstructor
-
- BlockDudeTF - Class in burlap.domain.singleagent.blockdude
-
- BlockDudeTF() - Constructor for class burlap.domain.singleagent.blockdude.BlockDudeTF
-
- BlockDudeVisualizer - Class in burlap.domain.singleagent.blockdude
-
- BlockDudeVisualizer() - Constructor for class burlap.domain.singleagent.blockdude.BlockDudeVisualizer
-
- BlockDudeVisualizer.AgentPainter - Class in burlap.domain.singleagent.blockdude
-
A class for rendering the agent as a blue square with a gold eye indicating the direction its facing.
- BlockDudeVisualizer.AgentPainter(int, int) - Constructor for class burlap.domain.singleagent.blockdude.BlockDudeVisualizer.AgentPainter
-
Initializes.
- BlockDudeVisualizer.BlockPainter - Class in burlap.domain.singleagent.blockdude
-
A class for rendering a block as a grey square
- BlockDudeVisualizer.BlockPainter(int, int) - Constructor for class burlap.domain.singleagent.blockdude.BlockDudeVisualizer.BlockPainter
-
Initializes.
- BlockDudeVisualizer.BricksPainter - Class in burlap.domain.singleagent.blockdude
-
A class for rendering bricks as green squares.
- BlockDudeVisualizer.BricksPainter(int, int) - Constructor for class burlap.domain.singleagent.blockdude.BlockDudeVisualizer.BricksPainter
-
Initializes.
- BlockDudeVisualizer.ExitPainter - Class in burlap.domain.singleagent.blockdude
-
A class for rendering an exit with a black square
- BlockDudeVisualizer.ExitPainter(int, int) - Constructor for class burlap.domain.singleagent.blockdude.BlockDudeVisualizer.ExitPainter
-
Initializes.
- BlocksWorld - Class in burlap.domain.singleagent.blocksworld
-
This is a domain generator for the classic relational blocks world domain.
- BlocksWorld() - Constructor for class burlap.domain.singleagent.blocksworld.BlocksWorld
-
- BlocksWorld.ClearPF - Class in burlap.domain.singleagent.blocksworld
-
Propositional function class for evaluating whether one block is clear (has no block stacked on top of it).
- BlocksWorld.ClearPF(String, Domain) - Constructor for class burlap.domain.singleagent.blocksworld.BlocksWorld.ClearPF
-
- BlocksWorld.ColorPF - Class in burlap.domain.singleagent.blocksworld
-
Propositional function class for evaluating whether a block is a certain color.
- BlocksWorld.ColorPF(String, Domain) - Constructor for class burlap.domain.singleagent.blocksworld.BlocksWorld.ColorPF
-
- BlocksWorld.OnBlockPF - Class in burlap.domain.singleagent.blocksworld
-
Propositional function class for evaluating whether one block is on another.
- BlocksWorld.OnBlockPF(String, Domain) - Constructor for class burlap.domain.singleagent.blocksworld.BlocksWorld.OnBlockPF
-
- BlocksWorld.OnTablePF - Class in burlap.domain.singleagent.blocksworld
-
Propositional function class for evaluating whether one block is on a table.
- BlocksWorld.OnTablePF(String, Domain) - Constructor for class burlap.domain.singleagent.blocksworld.BlocksWorld.OnTablePF
-
- BlocksWorld.StackAction - Class in burlap.domain.singleagent.blocksworld
-
Action class for stacking one block onto another.
- BlocksWorld.StackAction(String, Domain) - Constructor for class burlap.domain.singleagent.blocksworld.BlocksWorld.StackAction
-
- BlocksWorld.UnstackAction - Class in burlap.domain.singleagent.blocksworld
-
Action class for unstacking a block off of another block and putting it on the table.
- BlocksWorld.UnstackAction(String, Domain) - Constructor for class burlap.domain.singleagent.blocksworld.BlocksWorld.UnstackAction
-
- BlocksWorldVisualizer - Class in burlap.domain.singleagent.blocksworld
-
- BlocksWorldVisualizer() - Constructor for class burlap.domain.singleagent.blocksworld.BlocksWorldVisualizer
-
- BlocksWorldVisualizer.BlockPainter - Class in burlap.domain.singleagent.blocksworld
-
Paints blocks as a rectangle scaled to a size necessary to be able to show all blocks on the table within the canvas width or all blocks
stacked on each other within the canvas height.
- BlocksWorldVisualizer.BlockPainter() - Constructor for class burlap.domain.singleagent.blocksworld.BlocksWorldVisualizer.BlockPainter
-
- BlocksWorldVisualizer.BlockPainter(int) - Constructor for class burlap.domain.singleagent.blocksworld.BlocksWorldVisualizer.BlockPainter
-
Initializes with a font size for rendering the name of the block object.
- boltzBeta - Variable in class burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.DifferentiableSparseSampling
-
The Boltzmann beta parameter that defines the differentiable Bellman equation.
- boltzBeta - Variable in class burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.DifferentiableVFPlanner
-
The Boltzmann backup operator beta parameter.
- BoltzmannActor - Class in burlap.behavior.singleagent.learning.actorcritic.actor
-
And Actor component whose policy is defined by a Boltzmann distribution over action preferences.
- BoltzmannActor(Domain, StateHashFactory, double) - Constructor for class burlap.behavior.singleagent.learning.actorcritic.actor.BoltzmannActor
-
Initializes the Actor
- boltzmannBeta - Variable in class burlap.behavior.singleagent.learnbydemo.mlirl.MLIRLRequest
-
The parameter used in the boltzmann policy that affects how noisy the expert is assumed to be.
- BoltzmannDistribution - Class in burlap.datastructures
-
This class provides methods for computing, sampling, and working with Boltzmann distributions/Softmax.
- BoltzmannDistribution(double[]) - Constructor for class burlap.datastructures.BoltzmannDistribution
-
Initializes the distribution with the preference values that are to be turned into a soft max probability distribution.
- BoltzmannDistribution(double[], double) - Constructor for class burlap.datastructures.BoltzmannDistribution
-
Initializes the distribution with the preference values that are to be turned into a soft max probability distribution and
a temperature value to control how deterministic the probability output is.
- BoltzmannPolicyGradient - Class in burlap.behavior.singleagent.learnbydemo.mlirl.support
-
This class provides methods to compute the gradient of a Boltzmann policy.
- BoltzmannPolicyGradient() - Constructor for class burlap.behavior.singleagent.learnbydemo.mlirl.support.BoltzmannPolicyGradient
-
- BoltzmannQPolicy - Class in burlap.behavior.singleagent.planning.commonpolicies
-
This class implements a Boltzmann policy where the the Q-values represent
the components of the Boltzmann distribution.
- BoltzmannQPolicy(double) - Constructor for class burlap.behavior.singleagent.planning.commonpolicies.BoltzmannQPolicy
-
Initializes with a temperature value.
- BoltzmannQPolicy(QComputablePlanner, double) - Constructor for class burlap.behavior.singleagent.planning.commonpolicies.BoltzmannQPolicy
-
Initializes with a temperature value and the QComputable planner to use.
- BoundedRTDP - Class in burlap.behavior.singleagent.planning.stochastic.rtdp
-
An implementation of Bounded RTDP [1].
- BoundedRTDP(Domain, RewardFunction, TerminalFunction, double, StateHashFactory, ValueFunctionInitialization, ValueFunctionInitialization, double, int) - Constructor for class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP
-
Initializes.
- BoundedRTDP.StateSelectionAndExpectedGap - Class in burlap.behavior.singleagent.planning.stochastic.rtdp
-
A tuple class for a hashed state and the expected value function margin/gap of a the source transition.
- BoundedRTDP.StateSelectionAndExpectedGap(StateHashTuple, double) - Constructor for class burlap.behavior.singleagent.planning.stochastic.rtdp.BoundedRTDP.StateSelectionAndExpectedGap
-
Initializes.
- BoundedRTDP.StateSelectionMode - Enum in burlap.behavior.singleagent.planning.stochastic.rtdp
-
The different ways that states can be selected for expansion.
- breakTiesRandomly - Variable in class burlap.behavior.stochasticgame.mavaluefunction.policies.EGreedyMaxWellfare
-
Whether ties should be broken randomly or not.
- bucketBoundary - Variable in class burlap.behavior.singleagent.vfa.cmac.AttributeTileSpecification
-
The offset of this tile alignment; that is, where the first tiling boundary starts
- bufferedGraphics - Variable in class burlap.oomdp.visualizer.MultiLayerRenderer
-
The graphics context of the offscreen image
- BUILDINGATTNAME - Static variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain
-
Constant for the name of the building step of the igloo
- buildingStepsToWin - Variable in class burlap.domain.singleagent.frostbite.FrostbiteDomain
-
- buralpAgentFactory - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgentShell
-
The BURALP learning agent factor
- burlap.behavior.learningrate - package burlap.behavior.learningrate
-
- burlap.behavior.singleagent - package burlap.behavior.singleagent
-
- burlap.behavior.singleagent.auxiliary - package burlap.behavior.singleagent.auxiliary
-
- burlap.behavior.singleagent.auxiliary.performance - package burlap.behavior.singleagent.auxiliary.performance
-
- burlap.behavior.singleagent.auxiliary.valuefunctionvis - package burlap.behavior.singleagent.auxiliary.valuefunctionvis
-
- burlap.behavior.singleagent.auxiliary.valuefunctionvis.common - package burlap.behavior.singleagent.auxiliary.valuefunctionvis.common
-
- burlap.behavior.singleagent.interfaces.rlglue - package burlap.behavior.singleagent.interfaces.rlglue
-
- burlap.behavior.singleagent.interfaces.rlglue.common - package burlap.behavior.singleagent.interfaces.rlglue.common
-
- burlap.behavior.singleagent.learnbydemo - package burlap.behavior.singleagent.learnbydemo
-
- burlap.behavior.singleagent.learnbydemo.apprenticeship - package burlap.behavior.singleagent.learnbydemo.apprenticeship
-
- burlap.behavior.singleagent.learnbydemo.mlirl - package burlap.behavior.singleagent.learnbydemo.mlirl
-
- burlap.behavior.singleagent.learnbydemo.mlirl.commonrfs - package burlap.behavior.singleagent.learnbydemo.mlirl.commonrfs
-
- burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners - package burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners
-
- burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.diffvinit - package burlap.behavior.singleagent.learnbydemo.mlirl.differentiableplanners.diffvinit
-
- burlap.behavior.singleagent.learnbydemo.mlirl.support - package burlap.behavior.singleagent.learnbydemo.mlirl.support
-
- burlap.behavior.singleagent.learning - package burlap.behavior.singleagent.learning
-
- burlap.behavior.singleagent.learning.actorcritic - package burlap.behavior.singleagent.learning.actorcritic
-
- burlap.behavior.singleagent.learning.actorcritic.actor - package burlap.behavior.singleagent.learning.actorcritic.actor
-
- burlap.behavior.singleagent.learning.actorcritic.critics - package burlap.behavior.singleagent.learning.actorcritic.critics
-
- burlap.behavior.singleagent.learning.lspi - package burlap.behavior.singleagent.learning.lspi
-
- burlap.behavior.singleagent.learning.modellearning - package burlap.behavior.singleagent.learning.modellearning
-
- burlap.behavior.singleagent.learning.modellearning.artdp - package burlap.behavior.singleagent.learning.modellearning.artdp
-
- burlap.behavior.singleagent.learning.modellearning.modelplanners - package burlap.behavior.singleagent.learning.modellearning.modelplanners
-
- burlap.behavior.singleagent.learning.modellearning.models - package burlap.behavior.singleagent.learning.modellearning.models
-
- burlap.behavior.singleagent.learning.modellearning.rmax - package burlap.behavior.singleagent.learning.modellearning.rmax
-
- burlap.behavior.singleagent.learning.tdmethods - package burlap.behavior.singleagent.learning.tdmethods
-
- burlap.behavior.singleagent.learning.tdmethods.vfa - package burlap.behavior.singleagent.learning.tdmethods.vfa
-
- burlap.behavior.singleagent.options - package burlap.behavior.singleagent.options
-
- burlap.behavior.singleagent.planning - package burlap.behavior.singleagent.planning
-
- burlap.behavior.singleagent.planning.commonpolicies - package burlap.behavior.singleagent.planning.commonpolicies
-
- burlap.behavior.singleagent.planning.deterministic - package burlap.behavior.singleagent.planning.deterministic
-
- burlap.behavior.singleagent.planning.deterministic.informed - package burlap.behavior.singleagent.planning.deterministic.informed
-
- burlap.behavior.singleagent.planning.deterministic.informed.astar - package burlap.behavior.singleagent.planning.deterministic.informed.astar
-
- burlap.behavior.singleagent.planning.deterministic.uninformed.bfs - package burlap.behavior.singleagent.planning.deterministic.uninformed.bfs
-
- burlap.behavior.singleagent.planning.deterministic.uninformed.dfs - package burlap.behavior.singleagent.planning.deterministic.uninformed.dfs
-
- burlap.behavior.singleagent.planning.stochastic.montecarlo.uct - package burlap.behavior.singleagent.planning.stochastic.montecarlo.uct
-
- burlap.behavior.singleagent.planning.stochastic.policyiteration - package burlap.behavior.singleagent.planning.stochastic.policyiteration
-
- burlap.behavior.singleagent.planning.stochastic.rtdp - package burlap.behavior.singleagent.planning.stochastic.rtdp
-
- burlap.behavior.singleagent.planning.stochastic.sparsesampling - package burlap.behavior.singleagent.planning.stochastic.sparsesampling
-
- burlap.behavior.singleagent.planning.stochastic.valueiteration - package burlap.behavior.singleagent.planning.stochastic.valueiteration
-
- burlap.behavior.singleagent.planning.vfa.fittedvi - package burlap.behavior.singleagent.planning.vfa.fittedvi
-
- burlap.behavior.singleagent.shaping - package burlap.behavior.singleagent.shaping
-
- burlap.behavior.singleagent.shaping.potential - package burlap.behavior.singleagent.shaping.potential
-
- burlap.behavior.singleagent.vfa - package burlap.behavior.singleagent.vfa
-
- burlap.behavior.singleagent.vfa.cmac - package burlap.behavior.singleagent.vfa.cmac
-
- burlap.behavior.singleagent.vfa.common - package burlap.behavior.singleagent.vfa.common
-
- burlap.behavior.singleagent.vfa.fourier - package burlap.behavior.singleagent.vfa.fourier
-
- burlap.behavior.singleagent.vfa.rbf - package burlap.behavior.singleagent.vfa.rbf
-
- burlap.behavior.singleagent.vfa.rbf.functions - package burlap.behavior.singleagent.vfa.rbf.functions
-
- burlap.behavior.singleagent.vfa.rbf.metrics - package burlap.behavior.singleagent.vfa.rbf.metrics
-
- burlap.behavior.statehashing - package burlap.behavior.statehashing
-
- burlap.behavior.stochasticgame - package burlap.behavior.stochasticgame
-
- burlap.behavior.stochasticgame.agents - package burlap.behavior.stochasticgame.agents
-
- burlap.behavior.stochasticgame.agents.interfacing.singleagent - package burlap.behavior.stochasticgame.agents.interfacing.singleagent
-
- burlap.behavior.stochasticgame.agents.maql - package burlap.behavior.stochasticgame.agents.maql
-
- burlap.behavior.stochasticgame.agents.mavf - package burlap.behavior.stochasticgame.agents.mavf
-
- burlap.behavior.stochasticgame.agents.naiveq - package burlap.behavior.stochasticgame.agents.naiveq
-
- burlap.behavior.stochasticgame.agents.naiveq.history - package burlap.behavior.stochasticgame.agents.naiveq.history
-
- burlap.behavior.stochasticgame.agents.twoplayer.repeatedsinglestage - package burlap.behavior.stochasticgame.agents.twoplayer.repeatedsinglestage
-
- burlap.behavior.stochasticgame.agents.twoplayer.singlestage.equilibriumplayer - package burlap.behavior.stochasticgame.agents.twoplayer.singlestage.equilibriumplayer
-
- burlap.behavior.stochasticgame.agents.twoplayer.singlestage.equilibriumplayer.equilibriumsolvers - package burlap.behavior.stochasticgame.agents.twoplayer.singlestage.equilibriumplayer.equilibriumsolvers
-
- burlap.behavior.stochasticgame.auxiliary.performance - package burlap.behavior.stochasticgame.auxiliary.performance
-
- burlap.behavior.stochasticgame.mavaluefunction - package burlap.behavior.stochasticgame.mavaluefunction
-
- burlap.behavior.stochasticgame.mavaluefunction.backupOperators - package burlap.behavior.stochasticgame.mavaluefunction.backupOperators
-
- burlap.behavior.stochasticgame.mavaluefunction.policies - package burlap.behavior.stochasticgame.mavaluefunction.policies
-
- burlap.behavior.stochasticgame.mavaluefunction.vfplanners - package burlap.behavior.stochasticgame.mavaluefunction.vfplanners
-
- burlap.behavior.stochasticgame.solvers - package burlap.behavior.stochasticgame.solvers
-
- burlap.datastructures - package burlap.datastructures
-
- burlap.debugtools - package burlap.debugtools
-
- burlap.domain.singleagent.blockdude - package burlap.domain.singleagent.blockdude
-
- burlap.domain.singleagent.blocksworld - package burlap.domain.singleagent.blocksworld
-
- burlap.domain.singleagent.cartpole - package burlap.domain.singleagent.cartpole
-
- burlap.domain.singleagent.frostbite - package burlap.domain.singleagent.frostbite
-
- burlap.domain.singleagent.graphdefined - package burlap.domain.singleagent.graphdefined
-
- burlap.domain.singleagent.gridworld - package burlap.domain.singleagent.gridworld
-
- burlap.domain.singleagent.gridworld.macro - package burlap.domain.singleagent.gridworld.macro
-
- burlap.domain.singleagent.lunarlander - package burlap.domain.singleagent.lunarlander
-
- burlap.domain.singleagent.mountaincar - package burlap.domain.singleagent.mountaincar
-
- burlap.domain.singleagent.tabularized - package burlap.domain.singleagent.tabularized
-
- burlap.domain.stochasticgames.gridgame - package burlap.domain.stochasticgames.gridgame
-
- burlap.domain.stochasticgames.normalform - package burlap.domain.stochasticgames.normalform
-
- burlap.oomdp.auxiliary - package burlap.oomdp.auxiliary
-
- burlap.oomdp.auxiliary.common - package burlap.oomdp.auxiliary.common
-
- burlap.oomdp.core - package burlap.oomdp.core
-
- burlap.oomdp.core.values - package burlap.oomdp.core.values
-
- burlap.oomdp.singleagent - package burlap.oomdp.singleagent
-
- burlap.oomdp.singleagent.common - package burlap.oomdp.singleagent.common
-
- burlap.oomdp.singleagent.environment - package burlap.oomdp.singleagent.environment
-
- burlap.oomdp.singleagent.explorer - package burlap.oomdp.singleagent.explorer
-
- burlap.oomdp.singleagent.interfaces.rlglue - package burlap.oomdp.singleagent.interfaces.rlglue
-
- burlap.oomdp.stochasticgames - package burlap.oomdp.stochasticgames
-
- burlap.oomdp.stochasticgames.common - package burlap.oomdp.stochasticgames.common
-
- burlap.oomdp.stochasticgames.explorers - package burlap.oomdp.stochasticgames.explorers
-
- burlap.oomdp.stochasticgames.tournament - package burlap.oomdp.stochasticgames.tournament
-
- burlap.oomdp.stochasticgames.tournament.common - package burlap.oomdp.stochasticgames.tournament.common
-
- burlap.oomdp.visualizer - package burlap.oomdp.visualizer
-
- burlap.testing - package burlap.testing
-
- burlapAgent - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgentShell
-
The BURLAP learning agent that is being used.
- burlapThread - Variable in class burlap.behavior.singleagent.interfaces.rlglue.RLGlueAgentShell
-
The thread in which the current BURLAP learning algorithm thread is running