CS计算机代考程序代写 Java package rddl.competition.generators;

package rddl.competition.generators;

/**
* A generator for instances of a fully observable game of life.
*
* @author Scott Sanner
* @version 3/1/11
*
**/

import java.io.File;
import java.io.FileOutputStream;
import java.io.PrintStream;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;

public class GameOfLifeMDPGen {

protected String output_dir;
protected String instance_name;
protected int size_x;
protected int size_y;
protected float noise_prob_min;
protected float noise_prob_max;
protected float init_state_prob;
protected int horizon;
protected float discount;

public static void main(String [] args) throws Exception {

if(args.length != 9)
usage();

GameOfLifeMDPGen gen = new GameOfLifeMDPGen(args);
String content = gen.generate();
PrintStream ps = new PrintStream(
new FileOutputStream(gen.output_dir + File.separator + gen.instance_name + “.rddl”));
ps.println(content);
ps.close();
}

public static void usage() {
System.err.println(“Usage: output-dir instance-name size_x size_y noise-prob-min noise-prob-max init-state-prob horizon discount”);
System.err.println(“Example: files/testcomp/rddl game_of_life_5_5 5 5 0.1 0.3 0.5 100 0.9”);
System.exit(127);
}

public GameOfLifeMDPGen(String [] args){
output_dir = args[0];
if (output_dir.endsWith(“/”) || output_dir.endsWith(“\\”))
output_dir = output_dir.substring(0, output_dir.length() – 1);

instance_name = args[1];
size_x = Integer.parseInt(args[2]);
size_y = Integer.parseInt(args[3]);
noise_prob_min = Float.parseFloat(args[4]);
noise_prob_max = Float.parseFloat(args[5]);
init_state_prob = Float.parseFloat(args[6]);
horizon = Integer.parseInt(args[7]);
discount = Float.parseFloat(args[8]);
}

public String generate(){

Random ran = new Random();
StringBuilder sb = new StringBuilder();

// non-fluents game2 {
//
// domain = game_of_life_mdp;
//
// objects {
// x_pos : {x1,x2};
// y_pos : {y1,y2};
// };
//
// non-fluents {
// NEIGHBOR(x1,y1,x1,y2);
// NEIGHBOR(x1,y1,x2,y1);
// NEIGHBOR(x1,y1,x2,y2);
// NOISE-PROB(x1,y1) = 0.5;
// };
// }

sb.append(“non-fluents nf_” + instance_name + ” {\n”);
sb.append(“\tdomain = game_of_life_mdp;\n”);
sb.append(“\tobjects {\n”);

sb.append(“\t\tx_pos : {“);
for (int i = 1; i <= size_x; i++) sb.append(((i > 1) ? “,” : “”) + “x” + i);
sb.append(“};\n”);

sb.append(“\t\ty_pos : {“);
for (int j = 1; j <= size_y; j++) sb.append(((j > 1) ? “,” : “”) + “y” + j);
sb.append(“};\n”);

sb.append(“\t};\n”);

sb.append(“\tnon-fluents {\n”);

for (int i = 1; i <= size_x; i++) for (int j = 1; j <= size_y; j++) { sb.append("\t\tNOISE-PROB(x" + i + ",y" + j + ") = " + (noise_prob_min + (noise_prob_max - noise_prob_min)*ran.nextFloat())+ ";\n"); for (int io = -1; io <= 1; io++) for (int jo = -1; jo <= 1; jo++) { if (io == 0 && jo == 0) continue; int xn = i + io; int yn = j + jo; if (xn < 1 || xn > size_x || yn < 1 || yn > size_y)
continue;
sb.append(“\t\tNEIGHBOR(x” + i + “,y” + j + “,x” + xn + “,y” + yn + “);\n”);
}
}

sb.append(“\t};\n”);
sb.append(“}\n\n”);

// instance glm1 {
// domain = game_of_life_mdp;
// non-fluents = game2;
// init-state {
// alive(x1,y1);
// alive(x1,y2);
// };
//
// max-nondef-actions = 1;
// horizon = 20;
// discount = 1.0;
// }

sb.append(“instance ” + instance_name + ” {\n”);
sb.append(“\tdomain = game_of_life_mdp;\n”);
sb.append(“\tnon-fluents = nf_” + instance_name + “;\n”);
sb.append(“\tinit-state {\n”);
for (int i = 1; i <= size_x; i++) for (int j = 1; j <= size_y; j++) if (ran.nextFloat() < init_state_prob) sb.append("\t\talive(x" + i + ",y" + j + ");\n"); sb.append("\t};\n\n"); sb.append("\tmax-nondef-actions = 1;\n"); sb.append("\thorizon = " + horizon + ";\n"); sb.append("\tdiscount = " + discount + ";\n"); sb.append("}"); return sb.toString(); } }