burlap.behavior.singleagent.learnfromdemo.apprenticeship

Class ApprenticeshipLearning.StationaryRandomDistributionPolicy

java.lang.Object

burlap.behavior.singleagent.learnfromdemo.apprenticeship.ApprenticeshipLearning.StationaryRandomDistributionPolicy

All Implemented Interfaces:

EnumerablePolicy, Policy

Enclosing class:

ApprenticeshipLearning

public static class ApprenticeshipLearning.StationaryRandomDistributionPolicy
extends java.lang.Object
implements EnumerablePolicy

This class extends Policy. It creates a random policy distribution lazily for each state and keeps that distribution forever.

Author:

Stephen Brawner

Method Summary

Modifier and Type	Method and Description
Action	action(State s) This method will return an action sampled by the policy for the given state.
double	actionProb(State s, Action a) Returns the probability/probability density that the given action will be taken in the given state.
boolean	definedFor(State s) Specifies whether this policy is defined for the input state.
static Policy	generateRandomPolicy(SADomain domain)
java.util.List<ActionProb>	policyDistribution(State s) This method will return action probability distribution defined by the policy.

Methods inherited from class java.lang.Object

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

Method Detail

generateRandomPolicy

public static Policy generateRandomPolicy(SADomain domain)

action

public Action action(State s)

Description copied from interface: 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:

action in interface 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

actionProb

public double actionProb(State s,
                         Action a)

Description copied from interface: Policy

Returns the probability/probability density that the given action will be taken in the given state.

Specified by:

actionProb in interface Policy

Parameters:

s - the state of interest

a - the action that may be taken in the state

Returns:

the probability/probability density

policyDistribution

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

Description copied from interface: EnumerablePolicy

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:

policyDistribution in interface EnumerablePolicy

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.

definedFor

public boolean definedFor(State s)

Description copied from interface: Policy

Specifies whether this policy is defined for the input state.

Specified by:

definedFor in interface 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.