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Q

q - Variable in class burlap.behavior.singleagent.learning.tdmethods.SarsaLam.EligibilityTrace

The current Q-value info for this trace (contains the action reference)

q - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.JAQValue

q - Variable in class burlap.behavior.valuefunction.QValue

The numeric Q-value

qEntry - Variable in class burlap.behavior.singleagent.learning.tdmethods.QLearningStateNode

The Q-values for this object's state.

qForBelief(EnumerableBeliefState, GroundedAction) - Method in class burlap.behavior.singleagent.pomdp.qmdp.QMDP

Computes the expected Q-value of the underlying hidden MDP by marginalizing over of the states in the belief state.

qForBeliefList(List<EnumerableBeliefState.StateBelief>, GroundedAction) - Method in class burlap.behavior.singleagent.pomdp.qmdp.QMDP

Computes the expected Q-value of the underlying hidden MDP by marginalizing over of the states in the belief state.

QFunction - Interface in burlap.behavior.valuefunction

An interface for MDP solvers that can return/compute Q-values.

QFunction.QFunctionHelper - Class in burlap.behavior.valuefunction

A class of helper static methods that may be commonly used by code that uses a QFunction instance.

QFunction.QFunctionHelper() - Constructor for class burlap.behavior.valuefunction.QFunction.QFunctionHelper

QGradientPlanner - Interface in burlap.behavior.singleagent.learnfromdemo.mlirl.support

An interface for a valueFunction that can produce Q-value gradients.

QGradientPlannerFactory - Interface in burlap.behavior.singleagent.learnfromdemo.mlirl.support

A factory for generating QGradientPlanner objects.

QGradientPlannerFactory.DifferentiableVIFactory - Class in burlap.behavior.singleagent.learnfromdemo.mlirl.support

A DifferentiableVI factory.

QGradientPlannerFactory.DifferentiableVIFactory(HashableStateFactory) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.support.QGradientPlannerFactory.DifferentiableVIFactory

Initializes the factory with the given HashableStateFactory.

QGradientPlannerFactory.DifferentiableVIFactory(HashableStateFactory, TerminalFunction, double, int) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.support.QGradientPlannerFactory.DifferentiableVIFactory

Initializes.

QGradientTuple - Class in burlap.behavior.singleagent.learnfromdemo.mlirl.support

A tuple (triple) for storing the Q-gradient associated with a state and action.

QGradientTuple(State, AbstractGroundedAction, FunctionGradient) - Constructor for class burlap.behavior.singleagent.learnfromdemo.mlirl.support.QGradientTuple

Initializes.

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

The tabular mapping from states to Q-values

qInit - Variable in class burlap.behavior.stochasticgames.agents.madp.MADPPlannerFactory.MAVIPlannerFactory

The Q-value initialization function to use.

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

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

The Q-value initialization to use

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

A default Q-value initializer

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

Defines how q-values are initialized

qInit - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.QSourceForSingleAgent.HashBackedQSource

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

The object that defines how Q-values are initialized.

QLearning - Class in burlap.behavior.singleagent.learning.tdmethods

Tabular Q-learning algorithm [1].

QLearning(Domain, double, HashableStateFactory, double, double) - Constructor for class burlap.behavior.singleagent.learning.tdmethods.QLearning

Initializes Q-learning with 0.1 epsilon greedy policy, the same Q-value initialization everywhere, and places no limit on the number of steps the agent can take in an episode.

QLearning(Domain, double, HashableStateFactory, double, double, int) - Constructor for class burlap.behavior.singleagent.learning.tdmethods.QLearning

Initializes Q-learning with 0.1 epsilon greedy policy, the same Q-value initialization everywhere.

QLearning(Domain, double, HashableStateFactory, double, double, Policy, int) - Constructor for class burlap.behavior.singleagent.learning.tdmethods.QLearning

Initializes the same Q-value initialization everywhere.

QLearning(Domain, double, HashableStateFactory, ValueFunctionInitialization, double, Policy, int) - Constructor for class burlap.behavior.singleagent.learning.tdmethods.QLearning

Initializes the algorithm.

qLearningExample(String) - Method in class burlap.tutorials.bpl.BasicBehavior

QLearningStateNode - Class in burlap.behavior.singleagent.learning.tdmethods

This class is used to store the associated QValue objects for a given hashed sated.

QLearningStateNode(HashableState) - Constructor for class burlap.behavior.singleagent.learning.tdmethods.QLearningStateNode

Creates a new object for the given hashed state.

QLInit(Domain, double, HashableStateFactory, ValueFunctionInitialization, double, Policy, int) - Method in class burlap.behavior.singleagent.learning.tdmethods.QLearning

Initializes the algorithm.

QLTutorial - Class in burlap.tutorials.cpl

QLTutorial(Domain, double, HashableStateFactory, ValueFunctionInitialization, double, double) - Constructor for class burlap.tutorials.cpl.QLTutorial

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

The tabular map from (hashed) states to the list of Q-values for each action in those states

QMDP - Class in burlap.behavior.singleagent.pomdp.qmdp

An implementation of QMDP for POMDP domains.

QMDP(PODomain, QFunction) - Constructor for class burlap.behavior.singleagent.pomdp.qmdp.QMDP

Initializes.

QMDP(PODomain, RewardFunction, TerminalFunction, double, HashableStateFactory, double, int) - Constructor for class burlap.behavior.singleagent.pomdp.qmdp.QMDP

Initializes and creates a ValueIteration planner to solve the underling MDP.

qplanner - Variable in class burlap.behavior.policy.BoltzmannQPolicy

qplanner - Variable in class burlap.behavior.policy.EpsilonGreedy

qplanner - Variable in class burlap.behavior.policy.GreedyDeterministicQPolicy

qplanner - Variable in class burlap.behavior.policy.GreedyQPolicy

QSourceForSingleAgent - Interface in burlap.behavior.stochasticgames.madynamicprogramming

And interface for objects that can store and retrive Q-value objects for a specific agent and state and joint action query.

QSourceForSingleAgent.HashBackedQSource - Class in burlap.behavior.stochasticgames.madynamicprogramming

An implementation of the QSourceForSingleAgent interface that has Q-values backed by hashmaps.

QSourceForSingleAgent.HashBackedQSource(HashableStateFactory, ValueFunctionInitialization) - Constructor for class burlap.behavior.stochasticgames.madynamicprogramming.QSourceForSingleAgent.HashBackedQSource

Initializes with a given state hashing factory and value funciton initialization for Q-values.

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

The object that maps to other agent's Q-value sources

qSourceMapping - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.AgentQSourceMap.HashMapAgentQSourceMap

qSourceMapping - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.AgentQSourceMap.MAQLControlledQSourceMap

qSourceProvider - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.policies.ECorrelatedQJointPolicy

The multi-agent q-source provider

qSourceProvider - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyJointPolicy

The multi-agent q-source provider

qSourceProvider - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EGreedyMaxWellfare

The multi-agent q-source provider

qSourceProvider - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.policies.EMinMaxPolicy

The multi-agent q-source provider

qSources - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.MADynamicProgramming

The Hash map backed multi-agent Q-source in which to store Q-values.

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

Which Q-value object needs to be updated

queryAction - Variable in class burlap.behavior.singleagent.vfa.ActionFeaturesQuery

The action with which the state features are associated

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

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

Whether this agent is using the Q-values stored by other agents in the world rather than keeping a separate copy of the Q-values for each agent itself.

querySelectedActionForState(State) - Method in class burlap.behavior.singleagent.planning.deterministic.DeterministicPlanner

Returns the action suggested by the valueFunction for the given state.

queryTreeIndex(HashableState, int) - Method in class burlap.behavior.singleagent.planning.stochastic.montecarlo.uct.UCT

Returns the UCTStateNode for the given (hashed) state at the given depth.

QuitCommand - Class in burlap.shell.command.reserved

A reserved ShellCommand for terminating a shell.

QuitCommand() - Constructor for class burlap.shell.command.reserved.QuitCommand

qValue(State, AbstractGroundedAction) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearDiffRFVInit

qValue(State, AbstractGroundedAction) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.LinearStateDiffVF

qValue(State, AbstractGroundedAction) - Method in class burlap.behavior.singleagent.learnfromdemo.mlirl.differentiableplanners.diffvinit.VanillaDiffVinit

qValue(State, AbstractGroundedAction) - Method in class burlap.behavior.singleagent.planning.vfa.fittedvi.FittedVI.VFAVInit

QValue - Class in burlap.behavior.valuefunction

This class is used to store Q-values.

QValue(State, AbstractGroundedAction, double) - Constructor for class burlap.behavior.valuefunction.QValue

Creates a Q-value for the given state an action pair with the specified q-value

QValue(QValue) - Constructor for class burlap.behavior.valuefunction.QValue

Initialializes this Q-value by copying the information from another Q-value.

qValue(State, AbstractGroundedAction) - Method in class burlap.behavior.valuefunction.ValueFunctionInitialization.ConstantValueFunctionInitialization

qValue(State, AbstractGroundedAction) - Method in interface burlap.behavior.valuefunction.ValueFunctionInitialization

Returns the initialization value of the Q-value function for a given state and action pair.

qValues - Variable in class burlap.behavior.stochasticgames.madynamicprogramming.QSourceForSingleAgent.HashBackedQSource

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