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1 Commits
Bots-aleat
...
heuristic-
| Author | SHA1 | Date | |
|---|---|---|---|
| 9e843fe646 |
BIN
build/fr/iut_fbleau/HexGame/Arena.class
Normal file
BIN
build/fr/iut_fbleau/HexGame/Arena.class
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BIN
build/fr/iut_fbleau/HexGame/ArenaMain.class
Normal file
BIN
build/fr/iut_fbleau/HexGame/ArenaMain.class
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62
javaAPI/fr/iut_fbleau/HexGame/Arena.java
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62
javaAPI/fr/iut_fbleau/HexGame/Arena.java
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@@ -0,0 +1,62 @@
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package fr.iut_fbleau.HexGame;
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import fr.iut_fbleau.GameAPI.*;
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import java.io.FileWriter;
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import java.io.IOException;
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import java.util.ArrayList;
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import java.util.EnumMap;
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import java.util.List;
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public class Arena {
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private List<AbstractGamePlayer> bots = new ArrayList<>();
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private FileWriter csvWriter;
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public Arena() {
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try {
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csvWriter = new FileWriter("arena_results.csv");
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csvWriter.append("Bot 1, Bot 2, Winner\n");
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} catch (IOException e) {
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e.printStackTrace();
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}
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}
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public void addBot(AbstractGamePlayer bot) {
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bots.add(bot);
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}
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public void run() {
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for (int i = 0; i < bots.size(); i++) {
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for (int j = i + 1; j < bots.size(); j++) {
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AbstractGamePlayer bot1 = bots.get(i);
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AbstractGamePlayer bot2 = bots.get(j);
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System.out.println("Running match: " + bot1.getClass().getSimpleName() + " vs " + bot2.getClass().getSimpleName());
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Result result = playMatch(bot1, bot2);
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try {
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csvWriter.append(bot1.getClass().getSimpleName() + "," + bot2.getClass().getSimpleName() + "," + result + "\n");
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} catch (IOException e) {
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e.printStackTrace();
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}
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}
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}
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try {
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csvWriter.close();
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} catch (IOException e) {
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e.printStackTrace();
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}
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}
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private Result playMatch(AbstractGamePlayer bot1, AbstractGamePlayer bot2) {
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IBoard board = new HexBoard(11); // Standard 11x11 Hex board
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EnumMap<Player, AbstractGamePlayer> players = new EnumMap<>(Player.class);
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players.put(Player.PLAYER1, bot1);
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players.put(Player.PLAYER2, bot2);
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Simulation simulation = new Simulation(board, players); // Ensure Simulation is correctly imported
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return simulation.run();
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}
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}
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15
javaAPI/fr/iut_fbleau/HexGame/ArenaMain.java
Normal file
15
javaAPI/fr/iut_fbleau/HexGame/ArenaMain.java
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@@ -0,0 +1,15 @@
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package fr.iut_fbleau.HexGame;
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import fr.iut_fbleau.GameAPI.Player;
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public class ArenaMain {
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public static void main(String[] args) {
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Arena arena = new Arena();
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arena.addBot(new RandomBot(Player.PLAYER1, 12345L)); // Correct constructor usage
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arena.addBot(new MiniMaxBot(Player.PLAYER2));
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arena.addBot(new HeuristicBot(Player.PLAYER1));
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arena.addBot(new MonteCarloBot(Player.PLAYER2)); // Correct constructor usage
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arena.run();
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}
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}
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48
javaAPI/fr/iut_fbleau/HexGame/HeuristicBot.java
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48
javaAPI/fr/iut_fbleau/HexGame/HeuristicBot.java
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@@ -0,0 +1,48 @@
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package fr.iut_fbleau.HexGame;
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import fr.iut_fbleau.GameAPI.*;
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public class HeuristicBot extends AbstractGamePlayer {
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public HeuristicBot(Player me) {
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super(me); // Correct constructor usage
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}
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@Override
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public AbstractPly giveYourMove(IBoard board) {
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HexBoard hb = (HexBoard) board;
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float bestScore = -Float.MAX_VALUE;
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HexPly bestMove = null;
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for (int i = 0; i < hb.getSize(); i++) {
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for (int j = 0; j < hb.getSize(); j++) {
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HexPly move = new HexPly(hb.getCurrentPlayer(), i, j);
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if (hb.isLegal(move)) {
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hb.doPly(move);
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float score = evaluateBoard(hb);
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if (score > bestScore) {
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bestScore = score;
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bestMove = move;
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}
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hb.undoPly();
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}
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}
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}
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return bestMove;
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}
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private float evaluateBoard(HexBoard board) {
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int size = board.getSize();
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int center = size / 2;
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float score = 0;
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for (int i = 0; i < size; i++) {
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for (int j = 0; j < size; j++) {
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if (board.getPlayerAt(i, j) == Player.PLAYER1) {
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score += Math.abs(i - center) + Math.abs(j - center); // Distance from center
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}
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}
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}
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return score;
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}
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}
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@@ -15,6 +15,19 @@ import java.util.Random;
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* java fr.iut_fbleau.HexGame.HexSimMain
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* java fr.iut_fbleau.HexGame.HexSimMain --games 10000 --size 7 --seed 123
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* java fr.iut_fbleau.HexGame.HexSimMain --games 5000 --size 11 --csv results.csv
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*
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* À seed identique, la suite de nombres
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* pseudo-aléatoires générée est identique, donc les bots "aléatoires" joueront les mêmes coups
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* dans le même ordre (tant que le code et l'ordre des appels à Random ne changent pas).</p>
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*
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* Intérêt :
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*
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* Reproductibilité</b> : relancer exactement la même simulation pour déboguer / analyser.</li>
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* Comparaison équitable</b> : comparer 2 bots sur les mêmes tirages aléatoires.</li>
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* Si aucun seed n'est fourni, on utilise généralement l'heure courante, ce qui rend chaque exécution différente.</p>
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*
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* long seed;
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*
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*/
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public class HexSimMain {
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@@ -170,7 +183,7 @@ public class HexSimMain {
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// ex: "7 10000"
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if (isInt(s)) {
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int v = Integer.parseInt(s);
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if (a.size == 7) a.size = v;
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if (a.size == 11) a.size = v;
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else a.games = v;
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} else {
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System.err.println("Unknown arg: " + s);
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89
javaAPI/fr/iut_fbleau/HexGame/MiniMaxBot.java
Normal file
89
javaAPI/fr/iut_fbleau/HexGame/MiniMaxBot.java
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@@ -0,0 +1,89 @@
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package fr.iut_fbleau.HexGame;
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import fr.iut_fbleau.GameAPI.*;
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public class MiniMaxBot extends AbstractGamePlayer {
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private int MAXDEPTH = 5;
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public MiniMaxBot(Player me) {
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super(me); // Correct constructor usage
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}
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@Override
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public AbstractPly giveYourMove(IBoard board) {
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HexBoard hb = (HexBoard) board;
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float bestScore = -Float.MAX_VALUE;
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HexPly bestMove = null;
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for (int i = 0; i < hb.getSize(); i++) {
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for (int j = 0; j < hb.getSize(); j++) {
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HexPly move = new HexPly(hb.getCurrentPlayer(), i, j);
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if (hb.isLegal(move)) {
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hb.doPly(move);
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float score = minimax(hb, MAXDEPTH, -Float.MAX_VALUE, Float.MAX_VALUE, true);
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if (score > bestScore) {
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bestScore = score;
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bestMove = move;
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}
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hb.undoPly();
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}
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}
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}
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return bestMove;
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}
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private float minimax(HexBoard board, int depth, float alpha, float beta, boolean isMaximizing) {
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if (depth == 0 || board.isGameOver()) {
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return evaluateBoard(board);
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}
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if (isMaximizing) {
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float bestScore = -Float.MAX_VALUE;
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for (int i = 0; i < board.getSize(); i++) {
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for (int j = 0; j < board.getSize(); j++) {
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HexPly move = new HexPly(board.getCurrentPlayer(), i, j);
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if (board.isLegal(move)) {
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board.doPly(move);
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float score = minimax(board, depth - 1, alpha, beta, false);
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bestScore = Math.max(bestScore, score);
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alpha = Math.max(alpha, bestScore);
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if (beta <= alpha) break; // Pruning
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board.undoPly();
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}
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}
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}
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return bestScore;
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} else {
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float bestScore = Float.MAX_VALUE;
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for (int i = 0; i < board.getSize(); i++) {
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for (int j = 0; j < board.getSize(); j++) {
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HexPly move = new HexPly(board.getCurrentPlayer(), i, j);
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if (board.isLegal(move)) {
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board.doPly(move);
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float score = minimax(board, depth - 1, alpha, beta, true);
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bestScore = Math.min(bestScore, score);
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beta = Math.min(beta, bestScore);
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if (beta <= alpha) break; // Pruning
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board.undoPly();
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}
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}
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}
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return bestScore;
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}
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}
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private float evaluateBoard(HexBoard board) {
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int size = board.getSize();
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int center = size / 2;
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int score = 0;
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for (int i = 0; i < size; i++) {
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for (int j = 0; j < size; j++) {
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if (board.getPlayerAt(i, j) == Player.PLAYER1) {
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score += Math.abs(i - center) + Math.abs(j - center); // Distance from center
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}
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}
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}
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return score;
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}
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}
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59
javaAPI/fr/iut_fbleau/HexGame/MonteCarloBot.java
Normal file
59
javaAPI/fr/iut_fbleau/HexGame/MonteCarloBot.java
Normal file
@@ -0,0 +1,59 @@
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package fr.iut_fbleau.HexGame;
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import fr.iut_fbleau.GameAPI.*;
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import java.util.Random;
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public class MonteCarloBot extends AbstractGamePlayer {
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private static final int SIMULATION_COUNT = 1000;
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public MonteCarloBot(Player me) {
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super(me); // Correct constructor usage
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}
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@Override
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public AbstractPly giveYourMove(IBoard board) {
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HexBoard hb = (HexBoard) board;
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float bestScore = -Float.MAX_VALUE;
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HexPly bestMove = null;
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for (int i = 0; i < hb.getSize(); i++) {
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for (int j = 0; j < hb.getSize(); j++) {
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HexPly move = new HexPly(hb.getCurrentPlayer(), i, j);
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if (hb.isLegal(move)) {
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hb.doPly(move);
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float score = monteCarloSimulation(hb);
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if (score > bestScore) {
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bestScore = score;
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bestMove = move;
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}
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hb.undoPly();
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}
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}
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}
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return bestMove;
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}
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private float monteCarloSimulation(HexBoard board) {
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RandomBot simBot = new RandomBot(Player.PLAYER1, new Random().nextLong());
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HexBoard simBoard = board.safeCopy();
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int wins = 0;
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int simulations = 0;
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for (int i = 0; i < SIMULATION_COUNT; i++) {
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while (!simBoard.isGameOver()) {
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AbstractPly move = simBot.giveYourMove(simBoard);
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simBoard.doPly(move);
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}
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if (simBoard.getResult() == Result.WIN) {
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wins++;
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}
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simulations++;
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simBoard = board.safeCopy(); // Reset the board for the next simulation
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}
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return (float) wins / simulations;
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}
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}
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@@ -10,9 +10,6 @@ import java.util.Iterator;
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import java.util.List;
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import java.util.Random;
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/**
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* Bot non intelligent : joue un coup légal au hasard.
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*/
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public class RandomBot extends AbstractGamePlayer {
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private final Random rng;
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@@ -28,7 +25,6 @@ public class RandomBot extends AbstractGamePlayer {
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@Override
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public AbstractPly giveYourMove(IBoard board) {
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// On récupère tous les coups légaux via l'itérateur fourni par le plateau.
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List<AbstractPly> legal = new ArrayList<>();
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Iterator<AbstractPly> it = board.iterator();
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while (it.hasNext()) {
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|
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273
javaAPI/fr/iut_fbleau/HexGame/Simulation.java
Normal file
273
javaAPI/fr/iut_fbleau/HexGame/Simulation.java
Normal file
@@ -0,0 +1,273 @@
|
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package fr.iut_fbleau.HexGame;
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import fr.iut_fbleau.GameAPI.*;
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import java.util.EnumMap;
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import java.util.LinkedList;
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|
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public class Simulation extends AbstractGame {
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//ATTRIBUTS
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private HexPly bestmove;
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private float bestoutcome;
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private int MAXDEPTH = 9;
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private int EVALDEPTH = 10;
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private LinkedList<Integer[]> taken = new LinkedList<Integer[]>();
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//ATTRIBUTS QUE JE NE VOUDRAIS PAS CRÉER IDÉALEMENT
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private IBoard simCurrentBoard;
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private EnumMap<Player, AbstractGamePlayer> simmapPlayers;
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|
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//CONSTRUCTEUR
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public Simulation(IBoard b, EnumMap<Player,AbstractGamePlayer> m){
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super(b, m);
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simCurrentBoard = b;
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simmapPlayers = m;
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}
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|
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//METHODES
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/*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*/
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private float MonteCarlo(HexBoard position){
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RandomBot simplay = new RandomBot();
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HexBoard simpos = position.safeCopy();
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LinkedList<Integer[]> ctaken = taken;
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HexPly testmove;
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float wins = 0;
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float losses = 0;
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|
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for(int i=0; i<EVALDEPTH; i++){
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while(!simpos.isGameOver()){
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testmove = (HexPly) simplay.giveYourMove(simpos);
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if(!ctaken.contains(t) && simpos.isLegal(testmove)){
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ctaken.add(new Integer[]{testmove.getRow(), testmove.getCol()});
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simpos.doPly(testmove);
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if(simpos.getResult()==Result.LOSS){
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losses++;
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} else if(simpos.getResult()==Result.WIN){
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wins++;
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}
|
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}
|
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}
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simpos = position.safeCopy();
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ctaken = taken;
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}
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|
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if(wins>=losses){
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return losses/wins;
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} else {
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return -(wins/losses);
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}
|
||||
|
||||
}
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|
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private float explMAX(HexBoard position, int depth){
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if (position.getResult()==Result.LOSS) {
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return -1.0f;
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} else if (position.getResult()==Result.WIN){
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return 1.0f;
|
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} else if (depth==MAXDEPTH) {
|
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return MonteCarlo(position);
|
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} else {
|
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float bestcase = -1.0f;
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HexPly bestcasemove;
|
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HexPly testmove;
|
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for (int i=0; i<position.getSize(); i++) {
|
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for (int j=0; j<position.getSize(); j++) {
|
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if(depth==0){
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//System.out.println("MAX New Line :");
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}
|
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Integer[] t = new Integer[]{i, j};
|
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testmove = new HexPly(Player.PLAYER1, i, j);
|
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if(!taken.contains(t) && position.isLegal(testmove)){
|
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//System.out.println(" MAX test move : "+Integer.toString(i)+","+Integer.toString(j));
|
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taken.add(t);
|
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position.doPly(testmove);
|
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float val = explMIN(position, depth+1);
|
||||
if (val >= bestcase) {
|
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//System.out.println(" MAX new best case");
|
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bestcase = val;
|
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bestcasemove = testmove;
|
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if (depth==0) {
|
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this.bestoutcome = bestcase;
|
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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();
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
Reference in New Issue
Block a user