Java Legacy类代码示例

import pacman.controllers.examples.Legacy; //导入依赖的package包/类
@Override
public Genome getBest(List<Genome> population) {
	
	// Populate
	if (population == null)
		population = newPopulation();
	
	Genome bestGenome = null;
	for(int g = 0; g < generations; g++){
		
		// Test
		double[] scores = new double[size];
		int idx = 0;
		for(Genome genome : population){
			
			System.out.println("Testing fitness for: " + genome);
			double score = runExperimentWithAvgScore(new GeneticPacman2(genome), new Legacy(), trials); 
			scores[idx] = score;
			idx++;
			
		}
		
		// Stop if last generation
		if (g == generations-1)
			return bestGenome;
		
		population = newPopulation();
		
	}
	
	return null;
}
 

import pacman.controllers.examples.Legacy; //导入依赖的package包/类
/**
 * Constructor.  Sets default values for the parameters.
 */
public MonteCarloPacManParameters()
{
	nodeExpansionThreshold = 30;
	maximumSimulationLength = 10000000;
	deathPenalty = 10000;
	scaleDeathPenalty = false;
	completionReward = 10000;
	pacManModel = new StarterPacMan();
	ghostModel = new Legacy();
	selectionPolicy = new LevineUcbSelectionPolicy(4000);
	additionalEvaluators = new ITreeEvaluator[] { new DistanceToOpportunityEvaluator(), new PowerPillDistanceEvaluator(), new PowerPillActiveEvaluator() };
	discardTreeOnDecision = true;
	opponent = new Legacy();
	simulationCount = -1;
	showGraph = false;
	useGhostPositions = true;
	eatGhostNode = true;
	
	/*nodeExpansionThreshold = 50;
	maximumSimulationLength = 10000000;
	deathPenalty = 10000;
	scaleDeathPenalty = false;
	completionReward = 10000;
	pacManModel = new StarterPacMan();
	ghostModel = new Legacy2TheReckoning();
	selectionPolicy = new LevineUcbSelectionPolicy(4000);
	additionalEvaluators = new ITreeEvaluator[] { new DistanceToOpportunityEvaluator(), new PowerPillDistanceEvaluator(), new PowerPillActiveEvaluator() };
	discardTreeOnDecision = true;
	opponent = new Legacy();
	simulationCount = -1;
	showGraph = false;
	useGhostPositions = true;
	eatGhostNode = false;*/
}
 

import pacman.controllers.examples.Legacy; //导入依赖的package包/类
/**
	 * The main method. Several options are listed - simply remove comments to use the option you want.
	 *
	 * @param args the command line arguments
	 */
	public static void main(String[] args)
	{
		Executor exec=new Executor();

		/*
		//run multiple games in batch mode - good for testing.
		int numTrials=10;
		exec.runExperiment(new RandomPacMan(),new RandomGhosts(),numTrials);
		 */
		
		
		//run a game in synchronous mode: game waits until controllers respond.
		int delay=0;
		boolean visual=true;
		//[pillValue=401, pillMultiplier=-8.043920635206801, powerPillValue=-49, ghostValue=7426, deathValue=-7269, winValue=-2327, stepValue=982, dangerDistance=47, killDistance=4]
		//10793.333333333334 - [pillValue=754, pillMultiplier=-3.80047351578399, powerPillValue=855, ghostValue=5437, deathValue=-3029, winValue=-7990, stepValue=360, dangerDistance=37, killDistance=11]
		//exec.runGame(new GeneticPacman1(new Genome(401, -8.043920635206801, -49, 7426, -7269, -2327, 982, 47, 4)),new StarterGhosts(),visual,delay);
		//exec.runGame(new GeneticPacman2(new Genome(754, -3.80047351578399, 855, 5437, -3029, -7990, 360, 37, 4)),new StarterGhosts(),visual,delay);
		//exec.runGame(new Ms2PacAstar2(),new StarterGhosts(),visual,delay);
  		//exec.runGame(new RandomJunctionPacman(), new StarterGhosts(), visual, delay);
		//exec.runGame(new MCTSNIELS(), new Legacy(), visual, delay);
		//exec.runGame(new QLearner(), new Legacy(), visual, delay);
		
		for(int i = 1; i <= 40; i++){
			System.out.print(i + "\t");
			Executor execi=new Executor();
			execi.runGame(new MCTSNIELS(), new Legacy(), true, delay);
			//exec.runGame(new GeneticPacman2(new Genome(473, 3.1854737562458, 688, 9768, -8513, 3055, 521, 79, 4)),new Legacy2TheReckoning(),false,delay);
		}
		
		//[pillValue=473, pillMultiplier=3.1854737562458, powerPillValue=688, ghostValue=9768, deathValue=-8513, winValue=3055, stepValue=521, dangerDistance=79, killDistance=4, mutated=0]

		///*
		//run the game in asynchronous mode.
		//boolean visual=true;
//		exec.runGameTimed(new NearestPillPacMan(),new AggressiveGhosts(),visual);
		//exec.runGameTimed(new GeneticPacman(),new StarterGhosts(),visual);
		//exec.runGameTimed(new HumanController(new KeyBoardInput()),new StarterGhosts(),visual);	
		//*/
		
		
		//run the game in asynchronous mode but advance as soon as both controllers are ready  - this is the mode of the competition.
		//time limit of DELAY ms still applies.
		//boolean visual=true;
		/*
		boolean fixedTime=false;
		exec.runGameTimedSpeedOptimised(new GeneticPacman(), new StarterGhosts(),fixedTime,visual);
		*/
		
		/*
		//run game in asynchronous mode and record it to file for replay at a later stage.
		boolean visual=true;
		String fileName="replay.txt";
		exec.runGameTimedRecorded(new HumanController(new KeyBoardInput()),new RandomGhosts(),visual,fileName);
		//exec.replayGame(fileName,visual);
		 */
	}