burlap.behavior.policy

Class DomainMappedPolicy

java.lang.Object

burlap.behavior.policy.Policy

burlap.behavior.policy.DomainMappedPolicy

public class DomainMappedPolicy
extends Policy

If you have a policy defined for one domain, and want to map it to use actions in another domain that have the same name, you can use this policy to perform the mapping. It takes the input source policy and a the target domain that contains the actions to which the source policy action selections should be mapped.

Author:

James MacGlashan

Nested Class Summary

Nested classes/interfaces inherited from class burlap.behavior.policy.Policy

Policy.ActionProb, Policy.GroundedAnnotatedAction, Policy.PolicyUndefinedException

Field Summary

Fields

Modifier and Type	Field and Description
protected Policy	sourcePolicy The source policy that will be mapped into a the target domain's actions.
protected Domain	targetDomain The target domain containing the target actions that need to be selected.

Fields inherited from class burlap.behavior.policy.Policy

annotateOptionDecomposition, evaluateDecomposesOptions

Constructor Summary

Constructors

Constructor and Description
DomainMappedPolicy(Domain targetDomain, Policy sourcePolicy) Initializes.

Method Summary

Methods

Modifier and Type	Method and Description
AbstractGroundedAction	getAction(State s) This method will return an action sampled by the policy for the given state.
java.util.List<Policy.ActionProb>	getActionDistributionForState(State s) This method will return action probability distribution defined by the policy.
boolean	isDefinedFor(State s) Specifies whether this policy is defined for the input state.
boolean	isStochastic() Indicates whether the policy is stochastic or deterministic.
protected AbstractGroundedAction	mapAction(AbstractGroundedAction ga) Maps an input GroundedAction to a GroundedAction using an action reference of the action in this object's targetDomain object that has the same name as the action in the input GroundedAction.

Methods inherited from class burlap.behavior.policy.Policy

evaluateBehavior, evaluateBehavior, evaluateBehavior, evaluateBehavior, evaluateBehavior, evaluateMethodsShouldAnnotateOptionDecomposition, evaluateMethodsShouldDecomposeOption, followAndRecordPolicy, followAndRecordPolicy, getDeterministicPolicy, getProbOfAction, getProbOfActionGivenDistribution, getProbOfActionGivenDistribution, sampleFromActionDistribution

Methods inherited from class java.lang.Object

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

Field Detail

targetDomain

protected Domain targetDomain

The target domain containing the target actions that need to be selected.

sourcePolicy

protected Policy sourcePolicy

The source policy that will be mapped into a the target domain's actions.

Constructor Detail

DomainMappedPolicy

public DomainMappedPolicy(Domain targetDomain,
                  Policy sourcePolicy)

Initializes.

Parameters:

targetDomain - the domain to which actions in the source policy should be mapped

sourcePolicy - the source policy that selects actions

Method Detail

getAction

public AbstractGroundedAction getAction(State s)

Description copied from class: Policy

This method will return an action sampled by the policy for the given state. If the defined policy is stochastic, then multiple calls to this method for the same state may return different actions. The sampling should be with respect to defined action distribution that is returned by getActionDistributionForState

Specified by:

getAction in class Policy

Parameters:

s - the state for which an action should be returned

Returns:

a sample action from the action distribution; null if the policy is undefined for s

getActionDistributionForState

public java.util.List<Policy.ActionProb> getActionDistributionForState(State s)

Description copied from class: Policy

This method will return action probability distribution defined by the policy. The action distribution is represented by a list of ActionProb objects, each which specifies a grounded action and a probability of that grounded action being taken. The returned list does not have to include actions with probability 0.

Specified by:

getActionDistributionForState in class Policy

Parameters:

s - the state for which an action distribution should be returned

Returns:

a list of possible actions taken by the policy and their probability.

isStochastic

public boolean isStochastic()

Description copied from class: Policy

Indicates whether the policy is stochastic or deterministic.

Specified by:

isStochastic in class Policy

Returns:

true when the policy is stochastic; false when it is deterministic.

isDefinedFor

public boolean isDefinedFor(State s)

Description copied from class: Policy

Specifies whether this policy is defined for the input state.

Specified by:

isDefinedFor in class Policy

Parameters:

s - the input state to test for whether this policy is defined

Returns:

true if this policy is defined for State s, false otherwise.

mapAction

protected AbstractGroundedAction mapAction(AbstractGroundedAction ga)

Maps an input GroundedAction to a GroundedAction using an action reference of the action in this object's targetDomain object that has the same name as the action in the input GroundedAction.

Parameters:

ga - the input GroundedAction to map.

Returns:

a GroundedAction whose action reference belongs to the Action with the same name in this object's targetDomain object