burlap.behavior.singleagent.learning.lspi

Class SARSCollector.UniformRandomSARSCollector

java.lang.Object

burlap.behavior.singleagent.learning.lspi.SARSCollector

burlap.behavior.singleagent.learning.lspi.SARSCollector.UniformRandomSARSCollector

Enclosing class:

SARSCollector

public static class SARSCollector.UniformRandomSARSCollector
extends SARSCollector

Collects SARS data from source states generated by a StateGenerator by choosing actions uniformly at random.

Author:

James MacGlashan

Nested Class Summary

Nested classes/interfaces inherited from class burlap.behavior.singleagent.learning.lspi.SARSCollector

SARSCollector.UniformRandomSARSCollector

Field Summary

Fields inherited from class burlap.behavior.singleagent.learning.lspi.SARSCollector

actions

Constructor Summary

Constructors

Constructor and Description
SARSCollector.UniformRandomSARSCollector(Domain domain) Initializes the collector's action set using the actions that are part of the domain.
SARSCollector.UniformRandomSARSCollector(java.util.List<Action> actions) Initializes this collector's action set to use for collecting data.

Method Summary

Methods

Modifier and Type	Method and Description
SARSData	collectDataFrom(Environment env, int maxSteps, SARSData intoDataset) Collects data from an Environment's current state until either the maximum number of steps is taken or a terminal state is reached.
SARSData	collectDataFrom(State s, RewardFunction rf, int maxSteps, TerminalFunction tf, SARSData intoDataset) Collects data from an initial state until either a terminal state is reached or until the maximum number of steps is taken.

Methods inherited from class burlap.behavior.singleagent.learning.lspi.SARSCollector

collectNInstances, collectNInstances

Methods inherited from class java.lang.Object

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

Constructor Detail

SARSCollector.UniformRandomSARSCollector

public SARSCollector.UniformRandomSARSCollector(Domain domain)

Initializes the collector's action set using the actions that are part of the domain.

Parameters:

domain - the domain containing the actions to use

SARSCollector.UniformRandomSARSCollector

public SARSCollector.UniformRandomSARSCollector(java.util.List<Action> actions)

Initializes this collector's action set to use for collecting data.

Parameters:

actions - the action set to use for collecting data.

Method Detail

collectDataFrom

public SARSData collectDataFrom(State s,
                       RewardFunction rf,
                       int maxSteps,
                       TerminalFunction tf,
                       SARSData intoDataset)

Description copied from class: SARSCollector

Collects data from an initial state until either a terminal state is reached or until the maximum number of steps is taken. Data is stored into the dataset intoDataset and returned. If intoDataset is null, then it is first created.

Specified by:

collectDataFrom in class SARSCollector

Parameters:

s - the initial state from which data should be collected.

rf - the reward function from which rewards are tracks.

maxSteps - the maximum number of steps that can be taken.

tf - the terminal function that ends data collection.

intoDataset - the dataset into which data will be stored. If null, a dataset is created.

Returns:

the resulting dataset with the newly collected data.

collectDataFrom

public SARSData collectDataFrom(Environment env,
                       int maxSteps,
                       SARSData intoDataset)

Description copied from class: SARSCollector

Collects data from an Environment's current state until either the maximum number of steps is taken or a terminal state is reached. Data is stored into the dataset intoDataset and returned. If intoDataset is null, then it is first created.

Specified by:

collectDataFrom in class SARSCollector

Parameters:

env - the Environment from which data will be collected.

maxSteps - the maximum number of steps to take in the environment.

intoDataset - the dataset into which data will be stored. If null, a dataset is created.

Returns:

the resulting dataset with the newly collected data.