Java Code Examples for burlap.behavior.singleagent.learning.LearningAgentFactory#generateAgent()

The following examples show how to use burlap.behavior.singleagent.learning.LearningAgentFactory#generateAgent() . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: LearningAlgorithmExperimenter.java    From burlap with Apache License 2.0 6 votes vote down vote up 
/**
 * Runs a trial for an agent generated by the given factor when interpreting trial length as a number of total steps.
 * @param agentFactory the agent factory used to generate the agent to test.
 */
protected void runStepBoundTrial(LearningAgentFactory agentFactory){
	
	//temporarily disable plotter data collection to avoid possible contamination for any actions taken by the agent generation
	//(e.g., if there is pre-test training)
	this.plotter.toggleDataCollection(false);
	
	LearningAgent agent = agentFactory.generateAgent();
	
	this.plotter.toggleDataCollection(true); //turn it back on to begin
	
	this.plotter.startNewTrial();
	
	int stepsRemaining = this.trialLength;
	while(stepsRemaining > 0){
		Episode ea = agent.runLearningEpisode(this.environmentSever, stepsRemaining);
		stepsRemaining -= ea.numTimeSteps()-1; //-1  because we want to subtract the number of actions, not the number of states seen
		this.plotter.endEpisode();
		this.environmentSever.resetEnvironment();
	}
	
	this.plotter.endTrial();
	
}
Example 2
Source File: LearningAlgorithmExperimenter.java    From burlap with Apache License 2.0 4 votes vote down vote up 
/**
 * Runs a trial for an agent generated by the given factory when interpreting trial length as a number of episodes.
 * @param agentFactory the agent factory used to generate the agent to test.
 */
protected void runEpisodeBoundTrial(LearningAgentFactory agentFactory){
	
	//temporarily disable plotter data collection to avoid possible contamination for any actions taken by the agent generation
	//(e.g., if there is pre-test training)
	this.plotter.toggleDataCollection(false);

	LearningAgent agent = agentFactory.generateAgent();
	
	this.plotter.toggleDataCollection(true); //turn it back on to begin
	
	this.plotter.startNewTrial();
	
	for(int i = 0; i < this.trialLength; i++){
		agent.runLearningEpisode(this.environmentSever);
		this.plotter.endEpisode();
		this.environmentSever.resetEnvironment();
	}
	
	this.plotter.endTrial();
	
}