c'est le désespoir

This commit is contained in:
2026-02-06 01:27:28 +01:00
parent aa2dbc0c87
commit f59f9975fa

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@@ -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 {
@@ -27,16 +28,18 @@ 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){
RandomBot simplay = new RandomBot();
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()});
@@ -48,15 +51,18 @@ public class Simulation extends AbstractGame {
}
}
}
simpos = position;
//System.out.println("count:"+count);
for (int j=0; j<count; j++) {
simpos.undoPly();
}
ctaken = taken;
count = 0;
}
if(wins>=losses){
return losses/wins;
} else {
return -(wins/losses);
}
System.out.println(" wins : "+wins+"/losses : "+losses);
System.out.println(" eval : "+(wins-losses)/EVALDEPTH);
return (wins-losses)/EVALDEPTH;
}
@@ -66,7 +72,7 @@ public class Simulation extends AbstractGame {
} else if (position.getResult()==Result.WIN){
return 1.0f;
} else if (depth==MAXDEPTH) {
return MonteCarlo(position);
return MonteCarlo(position, Player.PLAYER1);
} else {
float bestcase = -1.0f;
HexPly bestcasemove;
@@ -108,7 +114,7 @@ public class Simulation extends AbstractGame {
} else if (position.getResult()==Result.WIN){
return 1.0f;
} else if (depth==MAXDEPTH) {
return MonteCarlo(position);
return MonteCarlo(position, Player.PLAYER2);
} else {
float bestcase = 1.0f;
HexPly bestcasemove;
@@ -150,7 +156,7 @@ public class Simulation extends AbstractGame {
} else if (position.getResult()==Result.WIN){
return 1.0f;
} else if (depth==MAXDEPTH) {
return MonteCarlo(position);
return MonteCarlo(position, Player.PLAYER1);
} else {
float bestcase = A;
HexPly bestcasemove;
@@ -194,7 +200,7 @@ public class Simulation extends AbstractGame {
} else if (position.getResult()==Result.WIN){
return 1.0f;
} else if (depth==MAXDEPTH) {
return MonteCarlo(position);
return MonteCarlo(position, Player.PLAYER2);
} else {
float bestcase = B;
HexPly bestcasemove;