c'est le désespoir

Reviewed-on: #13
Reviewed-by: Clement JANNAIRE <clement.jannaire@etu.u-pec.fr>
Reviewed-by: Riad KARA-MOSTEFA <riad.kara-mostefa@etu.u-pec.fr>

javaAPI/fr/iut_fbleau/HexGame/RandomBot.java

@@ -0,0 +1,40 @@
+package fr.iut_fbleau.HexGame;
+	
+import fr.iut_fbleau.GameAPI.AbstractGamePlayer;
+import fr.iut_fbleau.GameAPI.AbstractPly;
+import fr.iut_fbleau.GameAPI.IBoard;
+import fr.iut_fbleau.GameAPI.Player;
+
+import java.util.ArrayList;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Random;
+
+public class RandomBot extends AbstractGamePlayer {
+
+    private final Random rng;
+
+    public RandomBot(Player me, Random rng) {
+        super(me);
+        this.rng = rng;
+    }
+
+    public RandomBot(Player me, long seed) {
+        this(me, new Random(seed));
+    }
+
+    @Override
+    public AbstractPly giveYourMove(IBoard board) {
+        List<AbstractPly> legal = new ArrayList<>();
+        Iterator<AbstractPly> it = board.iterator();
+        while (it.hasNext()) {
+            legal.add(it.next());
+        }
+
+        if (legal.isEmpty()) {
+            throw new IllegalStateException("No legal move available (board is full?)");
+        }
+
+        return legal.get(rng.nextInt(legal.size()));
+    }
+}

javaAPI/fr/iut_fbleau/HexGame/Simulation.java

@@ -3,6 +3,7 @@ package fr.iut_fbleau.HexGame;
 import fr.iut_fbleau.GameAPI.*;
 import java.util.EnumMap;
 import java.util.LinkedList;
+import java.util.Random;
 
 
 public class Simulation extends AbstractGame {
@@ -10,7 +11,8 @@ public class Simulation extends AbstractGame {
     //ATTRIBUTS
     private HexPly bestmove;
     private float bestoutcome;
-    private int MAXDEPTH = 6;
+    private int MAXDEPTH = 9;
+    private int EVALDEPTH = 10;
     private LinkedList<Integer[]> taken = new LinkedList<Integer[]>();
 
     //ATTRIBUTS QUE JE NE VOUDRAIS PAS CRÉER IDÉALEMENT
@@ -25,13 +27,52 @@ public class Simulation extends AbstractGame {
     }
 
     //METHODES
+    /*Le jeu de Hex ne peut jamais finir avec le résultat null. En utilisant cette propriété, on peut avoir cet algorithme simplifié du monte-carlo*/
+    private float MonteCarlo(HexBoard position, Player current){
+        RandomBot simplay = new RandomBot(current, new Random().nextLong());
+        HexBoard simpos = position; 
+        LinkedList<Integer[]> ctaken = taken;
+        HexPly testmove;
+        float wins = 0;
+        float losses = 0;
+        int count = 0;
+
+        for(int i=0; i<EVALDEPTH; i++){
+            while(!simpos.isGameOver()){
+                count++;
+                testmove = (HexPly) simplay.giveYourMove(simpos);
+                if(!ctaken.contains(new Integer[]{testmove.getRow(), testmove.getCol()}) && simpos.isLegal(testmove)){
+                    ctaken.add(new Integer[]{testmove.getRow(), testmove.getCol()});
+                    simpos.doPly(testmove);
+                    if(simpos.getResult()==Result.LOSS){
+                        losses++;
+                    } else if(simpos.getResult()==Result.WIN){
+                        wins++;
+                    }
+                }
+            }
+            //System.out.println("count:"+count);
+            for (int j=0; j<count; j++) {
+                simpos.undoPly();
+            }
+            ctaken = taken;
+            count = 0;
+        }
+
+        System.out.println("    wins : "+wins+"/losses : "+losses);
+        System.out.println("    eval : "+(wins-losses)/EVALDEPTH);
+
+        return (wins-losses)/EVALDEPTH;
+
+    }
+
     private float explMAX(HexBoard position, int depth){
         if (position.getResult()==Result.LOSS) {
             return -1.0f;
         } else if (position.getResult()==Result.WIN){
             return 1.0f;
         } else if (depth==MAXDEPTH) {
-            return 0f;
+            return MonteCarlo(position, Player.PLAYER1);
         } else {
                 float bestcase = -1.0f;
                 HexPly bestcasemove;
@@ -73,7 +114,7 @@ public class Simulation extends AbstractGame {
         } else if (position.getResult()==Result.WIN){
             return 1.0f;
         } else if (depth==MAXDEPTH) {
-            return 0f;
+            return MonteCarlo(position, Player.PLAYER2);
         } else {
                 float bestcase = 1.0f;
                 HexPly bestcasemove;
@@ -109,6 +150,97 @@ public class Simulation extends AbstractGame {
         }
     }
 
+    private float explMAXAB(HexBoard position, int depth, float A, float B){
+        if (position.getResult()==Result.LOSS) {
+            return -1.0f;
+        } else if (position.getResult()==Result.WIN){
+            return 1.0f;
+        } else if (depth==MAXDEPTH) {
+            return MonteCarlo(position, Player.PLAYER1);
+        } else {
+                float bestcase = A;
+                HexPly bestcasemove;
+                HexPly testmove;
+                for (int i=0; i<position.getSize(); i++) {
+                        for (int j=0; j<position.getSize(); j++) {
+                                if(depth==0){
+                                    //System.out.println("MAX New Line :");
+                                }
+                                Integer[] t = new Integer[]{i, j}; 
+                                testmove = new HexPly(Player.PLAYER1, i, j);
+                                if(!taken.contains(t) && position.isLegal(testmove)){
+                                        //System.out.println("  MAX test move : "+Integer.toString(i)+","+Integer.toString(j));
+                                        taken.add(t);
+                                        position.doPly(testmove);
+                                        float val = explMINAB(position, depth+1, bestcase, B);  
+                                        if (val >= bestcase) {
+                                                //System.out.println("     MAX new best case");
+                                                bestcase = val;
+                                                bestcasemove = testmove;
+                                                if (depth==0) {
+                                                    this.bestoutcome = bestcase;
+                                                    this.bestmove = bestcasemove;
+                                                }
+                                                if(bestcase>=B){
+                                                    return bestcase;
+                                                }
+                                        }
+                                        position.undoPly();
+                                        taken.remove(t);
+                                }
+                        }
+                }
+                return bestcase;
+        }
+    }
+
+    private float explMINAB(HexBoard position, int depth, float A, float B){
+        if (position.getResult()==Result.LOSS) {
+            return -1.0f;
+        } else if (position.getResult()==Result.WIN){
+            return 1.0f;
+        } else if (depth==MAXDEPTH) {
+            return MonteCarlo(position, Player.PLAYER2);
+        } else {
+                float bestcase = B;
+                HexPly bestcasemove;
+                HexPly testmove;
+                for (int i=0; i<position.getSize(); i++) {
+                        for (int j=0; j<position.getSize(); j++) {
+                                if(depth==0){
+                                    //System.out.println("MIN New Line :");
+                                }
+                                Integer[] t = new Integer[]{i, j}; 
+                                testmove = new HexPly(Player.PLAYER2, i, j);
+                                if(!taken.contains(t) && position.isLegal(testmove)){
+                                        //System.out.println("  MIN test move : "+Integer.toString(i)+","+Integer.toString(j));
+                                        taken.add(t);
+                                        position.doPly(testmove);
+                                        float val = explMAXAB(position, depth+1, A, bestcase);  
+                                        if (val <= bestcase) {
+                                                //System.out.println("     MIN new best case");
+                                                bestcase = val;
+                                                bestcasemove = testmove;
+                                                if (depth==0) {
+                                                    this.bestoutcome = bestcase;
+                                                    this.bestmove = bestcasemove;
+                                                }
+                                                if(bestcase<=A){
+                                                    return bestcase;
+                                                }
+                                        }
+                                        
+                                        position.undoPly();
+                                        taken.remove(t);
+                                }
+                        }
+                }
+                return bestcase;
+        }
+    }
+       
+
+
     private AbstractPly GiveBestMove(IBoard board) {
         if (!(board instanceof HexBoard)) {
             throw new IllegalArgumentException("Ce joueur attend un HexBoard.");
@@ -116,9 +248,9 @@ public class Simulation extends AbstractGame {
         HexBoard hb = (HexBoard) board;
         float bestcase;
         if(hb.getCurrentPlayer()==Player.PLAYER1){
-            bestcase = explMAX(hb, 0);
+            bestcase = explMAXAB(hb, 0, -1.0f, 1.0f);
         } else {
-            bestcase = explMIN(hb, 0);
+            bestcase = explMINAB(hb, 0, -1.0f, 1.0f);
         }
         return this.bestmove;
     }