burlap.behavior.singleagent.planning

Class ValueFunctionPlanner.StaticVFPlanner

java.lang.Object

burlap.behavior.singleagent.planning.OOMDPPlanner

burlap.behavior.singleagent.planning.ValueFunctionPlanner

burlap.behavior.singleagent.planning.ValueFunctionPlanner.StaticVFPlanner

All Implemented Interfaces:

QComputablePlanner, ValueFunction

Enclosing class:

ValueFunctionPlanner

public static class ValueFunctionPlanner.StaticVFPlanner
extends ValueFunctionPlanner

This class is used to store tabular value function values that can be manipulated with the ValueFunctionPlanner methods. It has no planning method defined and will throw a runtime exception if you try to call it. When you pass it a seed value function (represented as a Map), it copies the values into its internal stored value function so that changes to the original value function may be made without affecting this objects values.

Nested Class Summary

Nested classes/interfaces inherited from class burlap.behavior.singleagent.planning.ValueFunctionPlanner

ValueFunctionPlanner.StaticVFPlanner

Nested classes/interfaces inherited from interface burlap.behavior.singleagent.planning.QComputablePlanner

QComputablePlanner.QComputablePlannerHelper

Field Summary

Fields inherited from class burlap.behavior.singleagent.planning.ValueFunctionPlanner

transitionDynamics, useCachedTransitions, valueFunction, valueInitializer

Fields inherited from class burlap.behavior.singleagent.planning.OOMDPPlanner

actions, containsParameterizedActions, debugCode, domain, gamma, hashingFactory, mapToStateIndex, rf, tf

Constructor Summary

Constructors

Constructor and Description
ValueFunctionPlanner.StaticVFPlanner(Domain domain, RewardFunction rf, double gamma, StateHashFactory hashingFactory, java.util.List<Action> allActions, java.util.Map<StateHashTuple,java.lang.Double> srcValueFunction) Initializes.

Method Summary

Methods

Modifier and Type	Method and Description
void	planFromState(State initialState) This method will cause the planner to begin planning from the specified initial state

Methods inherited from class burlap.behavior.singleagent.planning.ValueFunctionPlanner

computeQ, computeQ, getActionsTransitions, getAllStates, getCopyOfValueFunction, getDefaultValue, getQ, getQ, getQs, getValueFunctionInitialization, hasComputedValueFor, initializeOptionsForExpectationComputations, performBellmanUpdateOn, performBellmanUpdateOn, performFixedPolicyBellmanUpdateOn, performFixedPolicyBellmanUpdateOn, resetPlannerResults, setValueFunctionInitialization, toggleUseCachedTransitionDynamics, value, value, VFPInit

Methods inherited from class burlap.behavior.singleagent.planning.OOMDPPlanner

addNonDomainReferencedAction, getActions, getAllGroundedActions, getDebugCode, getDomain, getGamma, getHashingFactory, getRf, getRF, getTf, getTF, plannerInit, setActions, setDebugCode, setDomain, setGamma, setRf, setTf, stateHash, toggleDebugPrinting, translateAction

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ValueFunctionPlanner.StaticVFPlanner

public ValueFunctionPlanner.StaticVFPlanner(Domain domain,
                                    RewardFunction rf,
                                    double gamma,
                                    StateHashFactory hashingFactory,
                                    java.util.List<Action> allActions,
                                    java.util.Map<StateHashTuple,java.lang.Double> srcValueFunction)

Initializes. The source value function will be *copied* into this objects value function so that changes to the source will not affect this object. The action list will also be copied.

Parameters:

domain - the planning domain

rf - the reward function

gamma - the discount factor

hashingFactory - the state hashing factory used to index states

allActions - the set of actions for computing Q-values

srcValueFunction - the source value function to copy.

Method Detail

planFromState

public void planFromState(State initialState)

Description copied from class: OOMDPPlanner

This method will cause the planner to begin planning from the specified initial state

Specified by:

planFromState in class ValueFunctionPlanner

Parameters:

initialState - the initial state of the planning problem