1 Commits

Author SHA1 Message Date
9e843fe646 heuristic + arena + alphabeta 2026-02-05 16:27:10 +01:00
11 changed files with 560 additions and 5 deletions

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@@ -0,0 +1,62 @@
package fr.iut_fbleau.HexGame;
import fr.iut_fbleau.GameAPI.*;
import java.io.FileWriter;
import java.io.IOException;
import java.util.ArrayList;
import java.util.EnumMap;
import java.util.List;
public class Arena {
private List<AbstractGamePlayer> bots = new ArrayList<>();
private FileWriter csvWriter;
public Arena() {
try {
csvWriter = new FileWriter("arena_results.csv");
csvWriter.append("Bot 1, Bot 2, Winner\n");
} catch (IOException e) {
e.printStackTrace();
}
}
public void addBot(AbstractGamePlayer bot) {
bots.add(bot);
}
public void run() {
for (int i = 0; i < bots.size(); i++) {
for (int j = i + 1; j < bots.size(); j++) {
AbstractGamePlayer bot1 = bots.get(i);
AbstractGamePlayer bot2 = bots.get(j);
System.out.println("Running match: " + bot1.getClass().getSimpleName() + " vs " + bot2.getClass().getSimpleName());
Result result = playMatch(bot1, bot2);
try {
csvWriter.append(bot1.getClass().getSimpleName() + "," + bot2.getClass().getSimpleName() + "," + result + "\n");
} catch (IOException e) {
e.printStackTrace();
}
}
}
try {
csvWriter.close();
} catch (IOException e) {
e.printStackTrace();
}
}
private Result playMatch(AbstractGamePlayer bot1, AbstractGamePlayer bot2) {
IBoard board = new HexBoard(11); // Standard 11x11 Hex board
EnumMap<Player, AbstractGamePlayer> players = new EnumMap<>(Player.class);
players.put(Player.PLAYER1, bot1);
players.put(Player.PLAYER2, bot2);
Simulation simulation = new Simulation(board, players); // Ensure Simulation is correctly imported
return simulation.run();
}
}

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@@ -0,0 +1,15 @@
package fr.iut_fbleau.HexGame;
import fr.iut_fbleau.GameAPI.Player;
public class ArenaMain {
public static void main(String[] args) {
Arena arena = new Arena();
arena.addBot(new RandomBot(Player.PLAYER1, 12345L)); // Correct constructor usage
arena.addBot(new MiniMaxBot(Player.PLAYER2));
arena.addBot(new HeuristicBot(Player.PLAYER1));
arena.addBot(new MonteCarloBot(Player.PLAYER2)); // Correct constructor usage
arena.run();
}
}

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@@ -0,0 +1,48 @@
package fr.iut_fbleau.HexGame;
import fr.iut_fbleau.GameAPI.*;
public class HeuristicBot extends AbstractGamePlayer {
public HeuristicBot(Player me) {
super(me); // Correct constructor usage
}
@Override
public AbstractPly giveYourMove(IBoard board) {
HexBoard hb = (HexBoard) board;
float bestScore = -Float.MAX_VALUE;
HexPly bestMove = null;
for (int i = 0; i < hb.getSize(); i++) {
for (int j = 0; j < hb.getSize(); j++) {
HexPly move = new HexPly(hb.getCurrentPlayer(), i, j);
if (hb.isLegal(move)) {
hb.doPly(move);
float score = evaluateBoard(hb);
if (score > bestScore) {
bestScore = score;
bestMove = move;
}
hb.undoPly();
}
}
}
return bestMove;
}
private float evaluateBoard(HexBoard board) {
int size = board.getSize();
int center = size / 2;
float score = 0;
for (int i = 0; i < size; i++) {
for (int j = 0; j < size; j++) {
if (board.getPlayerAt(i, j) == Player.PLAYER1) {
score += Math.abs(i - center) + Math.abs(j - center); // Distance from center
}
}
}
return score;
}
}

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@@ -15,6 +15,19 @@ import java.util.Random;
* java fr.iut_fbleau.HexGame.HexSimMain
* java fr.iut_fbleau.HexGame.HexSimMain --games 10000 --size 7 --seed 123
* java fr.iut_fbleau.HexGame.HexSimMain --games 5000 --size 11 --csv results.csv
*
* À seed identique, la suite de nombres
* pseudo-aléatoires générée est identique, donc les bots "aléatoires" joueront les mêmes coups
* dans le même ordre (tant que le code et l'ordre des appels à Random ne changent pas).</p>
*
* Intérêt :
*
* Reproductibilité</b> : relancer exactement la même simulation pour déboguer / analyser.</li>
* Comparaison équitable</b> : comparer 2 bots sur les mêmes tirages aléatoires.</li>
* Si aucun seed n'est fourni, on utilise généralement l'heure courante, ce qui rend chaque exécution différente.</p>
*
* long seed;
*
*/
public class HexSimMain {
@@ -170,7 +183,7 @@ public class HexSimMain {
// ex: "7 10000"
if (isInt(s)) {
int v = Integer.parseInt(s);
if (a.size == 7) a.size = v;
if (a.size == 11) a.size = v;
else a.games = v;
} else {
System.err.println("Unknown arg: " + s);

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@@ -0,0 +1,89 @@
package fr.iut_fbleau.HexGame;
import fr.iut_fbleau.GameAPI.*;
public class MiniMaxBot extends AbstractGamePlayer {
private int MAXDEPTH = 5;
public MiniMaxBot(Player me) {
super(me); // Correct constructor usage
}
@Override
public AbstractPly giveYourMove(IBoard board) {
HexBoard hb = (HexBoard) board;
float bestScore = -Float.MAX_VALUE;
HexPly bestMove = null;
for (int i = 0; i < hb.getSize(); i++) {
for (int j = 0; j < hb.getSize(); j++) {
HexPly move = new HexPly(hb.getCurrentPlayer(), i, j);
if (hb.isLegal(move)) {
hb.doPly(move);
float score = minimax(hb, MAXDEPTH, -Float.MAX_VALUE, Float.MAX_VALUE, true);
if (score > bestScore) {
bestScore = score;
bestMove = move;
}
hb.undoPly();
}
}
}
return bestMove;
}
private float minimax(HexBoard board, int depth, float alpha, float beta, boolean isMaximizing) {
if (depth == 0 || board.isGameOver()) {
return evaluateBoard(board);
}
if (isMaximizing) {
float bestScore = -Float.MAX_VALUE;
for (int i = 0; i < board.getSize(); i++) {
for (int j = 0; j < board.getSize(); j++) {
HexPly move = new HexPly(board.getCurrentPlayer(), i, j);
if (board.isLegal(move)) {
board.doPly(move);
float score = minimax(board, depth - 1, alpha, beta, false);
bestScore = Math.max(bestScore, score);
alpha = Math.max(alpha, bestScore);
if (beta <= alpha) break; // Pruning
board.undoPly();
}
}
}
return bestScore;
} else {
float bestScore = Float.MAX_VALUE;
for (int i = 0; i < board.getSize(); i++) {
for (int j = 0; j < board.getSize(); j++) {
HexPly move = new HexPly(board.getCurrentPlayer(), i, j);
if (board.isLegal(move)) {
board.doPly(move);
float score = minimax(board, depth - 1, alpha, beta, true);
bestScore = Math.min(bestScore, score);
beta = Math.min(beta, bestScore);
if (beta <= alpha) break; // Pruning
board.undoPly();
}
}
}
return bestScore;
}
}
private float evaluateBoard(HexBoard board) {
int size = board.getSize();
int center = size / 2;
int score = 0;
for (int i = 0; i < size; i++) {
for (int j = 0; j < size; j++) {
if (board.getPlayerAt(i, j) == Player.PLAYER1) {
score += Math.abs(i - center) + Math.abs(j - center); // Distance from center
}
}
}
return score;
}
}

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@@ -0,0 +1,59 @@
package fr.iut_fbleau.HexGame;
import fr.iut_fbleau.GameAPI.*;
import java.util.Random;
public class MonteCarloBot extends AbstractGamePlayer {
private static final int SIMULATION_COUNT = 1000;
public MonteCarloBot(Player me) {
super(me); // Correct constructor usage
}
@Override
public AbstractPly giveYourMove(IBoard board) {
HexBoard hb = (HexBoard) board;
float bestScore = -Float.MAX_VALUE;
HexPly bestMove = null;
for (int i = 0; i < hb.getSize(); i++) {
for (int j = 0; j < hb.getSize(); j++) {
HexPly move = new HexPly(hb.getCurrentPlayer(), i, j);
if (hb.isLegal(move)) {
hb.doPly(move);
float score = monteCarloSimulation(hb);
if (score > bestScore) {
bestScore = score;
bestMove = move;
}
hb.undoPly();
}
}
}
return bestMove;
}
private float monteCarloSimulation(HexBoard board) {
RandomBot simBot = new RandomBot(Player.PLAYER1, new Random().nextLong());
HexBoard simBoard = board.safeCopy();
int wins = 0;
int simulations = 0;
for (int i = 0; i < SIMULATION_COUNT; i++) {
while (!simBoard.isGameOver()) {
AbstractPly move = simBot.giveYourMove(simBoard);
simBoard.doPly(move);
}
if (simBoard.getResult() == Result.WIN) {
wins++;
}
simulations++;
simBoard = board.safeCopy(); // Reset the board for the next simulation
}
return (float) wins / simulations;
}
}

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@@ -10,9 +10,6 @@ import java.util.Iterator;
import java.util.List;
import java.util.Random;
/**
* Bot non intelligent : joue un coup légal au hasard.
*/
public class RandomBot extends AbstractGamePlayer {
private final Random rng;
@@ -28,7 +25,6 @@ public class RandomBot extends AbstractGamePlayer {
@Override
public AbstractPly giveYourMove(IBoard board) {
// On récupère tous les coups légaux via l'itérateur fourni par le plateau.
List<AbstractPly> legal = new ArrayList<>();
Iterator<AbstractPly> it = board.iterator();
while (it.hasNext()) {

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@@ -0,0 +1,273 @@
package fr.iut_fbleau.HexGame;
import fr.iut_fbleau.GameAPI.*;
import java.util.EnumMap;
import java.util.LinkedList;
public class Simulation extends AbstractGame {
//ATTRIBUTS
private HexPly bestmove;
private float bestoutcome;
private int MAXDEPTH = 9;
private int EVALDEPTH = 10;
private LinkedList<Integer[]> taken = new LinkedList<Integer[]>();
//ATTRIBUTS QUE JE NE VOUDRAIS PAS CRÉER IDÉALEMENT
private IBoard simCurrentBoard;
private EnumMap<Player, AbstractGamePlayer> simmapPlayers;
//CONSTRUCTEUR
public Simulation(IBoard b, EnumMap<Player,AbstractGamePlayer> m){
super(b, m);
simCurrentBoard = b;
simmapPlayers = m;
}
//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();
HexBoard simpos = position.safeCopy();
LinkedList<Integer[]> ctaken = taken;
HexPly testmove;
float wins = 0;
float losses = 0;
for(int i=0; i<EVALDEPTH; i++){
while(!simpos.isGameOver()){
testmove = (HexPly) simplay.giveYourMove(simpos);
if(!ctaken.contains(t) && 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++;
}
}
}
simpos = position.safeCopy();
ctaken = taken;
}
if(wins>=losses){
return losses/wins;
} else {
return -(wins/losses);
}
}
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 MonteCarlo(position);
} else {
float bestcase = -1.0f;
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 = explMIN(position, depth+1);
if (val >= bestcase) {
//System.out.println(" MAX new best case");
bestcase = val;
bestcasemove = testmove;
if (depth==0) {
this.bestoutcome = bestcase;
this.bestmove = bestcasemove;
}
}
position.undoPly();
taken.remove(t);
}
}
}
return bestcase;
}
}
private float explMIN(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 MonteCarlo(position);
} else {
float bestcase = 1.0f;
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 = explMAX(position, depth+1);
if (val <= bestcase) {
//System.out.println(" MIN new best case");
bestcase = val;
bestcasemove = testmove;
if (depth==0) {
this.bestoutcome = bestcase;
this.bestmove = bestcasemove;
}
}
position.undoPly();
taken.remove(t);
}
}
}
return bestcase;
}
}
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);
} 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);
} 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.");
}
HexBoard hb = (HexBoard) board;
float bestcase;
if(hb.getCurrentPlayer()==Player.PLAYER1){
bestcase = explMAXAB(hb, 0, -1.0f, 1.0f);
} else {
bestcase = explMINAB(hb, 0, -1.0f, 1.0f);
}
return this.bestmove;
}
@Override
public Result run(){
while(!simCurrentBoard.isGameOver()) {
AbstractGamePlayer player = simmapPlayers.get(simCurrentBoard.getCurrentPlayer());
IBoard board = simCurrentBoard.safeCopy();
AbstractPly ply = GiveBestMove(board);
HexPly concretePly = (HexPly) ply;
if (simCurrentBoard.isLegal(ply)) {
simCurrentBoard.doPly(ply);
taken.add(new Integer[]{concretePly.getRow(), concretePly.getCol()});
System.out.println("Player "+player+" goes ("+concretePly.getRow()+","+concretePly.getCol()+")");
}
else throw new IllegalStateException("Player "+ player + " is a bloody cheat. He tried playing : "+concretePly.getRow()+","+concretePly.getCol()+" I give up.");
}
return simCurrentBoard.getResult();
}
}