burlap.behavior.singleagent.learning.modellearning.artdp

Class ARTDP.ARTDPPlanner

java.lang.Object

burlap.behavior.singleagent.planning.OOMDPPlanner

burlap.behavior.singleagent.planning.ValueFunctionPlanner

burlap.behavior.singleagent.learning.modellearning.artdp.ARTDP.ARTDPPlanner

All Implemented Interfaces:

QComputablePlanner, ValueFunction

Enclosing class:

ARTDP

protected class ARTDP.ARTDPPlanner
extends ValueFunctionPlanner

The value funciton planner that operates on the modeled world.

Author:

James MacGlashan

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
ARTDP.ARTDPPlanner(Domain domain, RewardFunction rf, TerminalFunction tf, double gamma, StateHashFactory hashingFactory, double vInit) Initializes
ARTDP.ARTDPPlanner(Domain domain, RewardFunction rf, TerminalFunction tf, double gamma, StateHashFactory hashingFactory, ValueFunctionInitialization vInit) 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

ARTDP.ARTDPPlanner

public ARTDP.ARTDPPlanner(Domain domain,
                  RewardFunction rf,
                  TerminalFunction tf,
                  double gamma,
                  StateHashFactory hashingFactory,
                  double vInit)

Initializes

Parameters:

domain - the modeled domain

rf - the modeled reward function

tf - the modeled terminal function

gamma - the discount factor

hashingFactory - the hashing factory

vInit - the constant value function initialization to use

ARTDP.ARTDPPlanner

public ARTDP.ARTDPPlanner(Domain domain,
                  RewardFunction rf,
                  TerminalFunction tf,
                  double gamma,
                  StateHashFactory hashingFactory,
                  ValueFunctionInitialization vInit)

Initializes

Parameters:

domain - the modeled domain

rf - the modeled reward function

tf - the modeled terminal function

gamma - the discount factor

hashingFactory - the hashing factory

vInit - the value function initialization to use

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