burlap.behavior.singleagent.learning

Interface LearningAgent

All Known Implementing Classes:

ActorCritic, ARTDP, GradientDescentSarsaLam, LSPI, PotentialShapedRMax, QLearning, QLTutorial, SarsaLam

public interface LearningAgent

This is the standard interface for defining an agent that learns how to behave in the world through experience. There are two methods that need to be implemented. runLearningEpisode(burlap.oomdp.singleagent.environment.Environment) and runLearningEpisode(burlap.oomdp.singleagent.environment.Environment, int). Implementing the former method should have the agent interact with the provided Environment until the Environment transitions to a terminal state. The runLearningEpisode(burlap.oomdp.singleagent.environment.Environment, int) should have the agent interact with the Environment until either a terminal state is reached or the agent has taken maxSteps in the environment. Both methods should return an EpisodeAnalysis object that records the interactions.

Author:

James MacGlashan

Method Summary

Methods

Modifier and Type	Method and Description
EpisodeAnalysis	runLearningEpisode(Environment env)
EpisodeAnalysis	runLearningEpisode(Environment env, int maxSteps)

Method Detail

runLearningEpisode

EpisodeAnalysis runLearningEpisode(Environment env)

runLearningEpisode

EpisodeAnalysis runLearningEpisode(Environment env,
                                 int maxSteps)