Files
SNAKE/src/tests/IATest.java

155 lines
5.7 KiB
Java

// package tests;
// import java.io.File;
// import java.util.Arrays;
// import game.environnement.Map;
// import personnage.IA;
// import personnage.Personnage;
// import personnage.IAQLearning.QTable;
// import personnage.IAQLearning.State;
// import personnage.types.Mouvement;
// public class IATest {
// private final static String path1 = "res" + File.separator +
// "save" + File.separator +
// "learn1.ser";
// private final static String path2 = "res" + File.separator +
// "save" + File.separator +
// "learn2.ser";
// public static void learnIA() {
// double alpha = 0.1;
// double gamma = 0.9;
// double epsilon = 1.0;
// double decay_rate = 0.995;
// double minEpsilon = 0.01;
// int totalEpisodes = 200;
// Personnage.n = 4;
// for(int episode = 0; episode < totalEpisodes; episode++) {
// QTable qTable = new QTable();
// IA iaqLearning = new IA(new int[] {2, 2}, qTable, alpha, gamma, epsilon, null);
// Map map = new Map(12, 22);
// qTable.get(path1);
// while (true) {
// Map mapIA = new Map(map.getGrid()[0].length, map.getGrid().length);
// mapIA.replaceGrid(map.getGrid());
// map.placePersonnages(iaqLearning);
// State currentState = iaqLearning.getCurrentState(map.getGrid());
// Mouvement mouvement = iaqLearning.bestMouvement(currentState);
// iaqLearning.moveSnake(mouvement);
// int[] coordinate = iaqLearning.getHeadCoordinate();
// if(map.isGameOver(coordinate) || iaqLearning.applyEffects(map.getEffect(coordinate))) {
// iaqLearning.receiveReward(currentState, mouvement, -1.0, currentState);
// break;
// }
// mapIA.placePersonnages(iaqLearning);
// State nextState = iaqLearning.getCurrentState(mapIA.getGrid());
// iaqLearning.receiveReward(currentState, mouvement, 0.1, nextState);
// iaqLearning.increaseRound();
// mapIA.clearMap();
// map.clearMap();
// }
// qTable.save(path1);
// epsilon = Math.max(minEpsilon, epsilon * decay_rate);
// System.out.println("Episode : " + episode + " | States : " + qTable.getqValues().size());
// }
// }
// public static void learnIAvsIA() {
// double alpha = 0.9;
// double gamma = 0.9;
// double epsilon = 0.1;
// int maxEpisode = 1000000;
// Personnage.n = 4;
// QTable qTable1 = new QTable();
// qTable1.get(path1);
// QTable qTable2 = new QTable();
// qTable2.get(path2);
// for (int episode = 0; episode < maxEpisode; episode++) {
// Map map = new Map(12, 22);
// IA[] iaqLearnings = new IA[] {
// new IA(new int[] {2, 2}, qTable1, alpha, gamma, epsilon, null),
// new IA(new int[] {9, 19}, qTable2, alpha, gamma, epsilon, null),
// };
// boolean isGameOver = false;
// while(true) {
// for (int personnages = 0; personnages < iaqLearnings.length; personnages++) {
// IA iaqLearning = iaqLearnings[personnages];
// Map mapIA = new Map(map.getGrid()[0].length, map.getGrid().length);
// for (IA value : iaqLearnings) {
// map.placePersonnages(value);
// }
// State currentState = iaqLearning.getCurrentState(map.getGrid());
// Mouvement mouvement = iaqLearning.bestMouvement(currentState);
// iaqLearning.moveSnake(mouvement);
// int[] coordinate = iaqLearning.getHeadCoordinate();
// if (map.isGameOver(coordinate) || iaqLearning.applyEffects(map.getEffect(coordinate))) {
// iaqLearning.receiveReward(currentState, mouvement, -1000, currentState);
// isGameOver = true;
// break;
// }
// int value = (personnages + 1) % 2;
// for (int[] snakeCoordinate : iaqLearnings[value].getCoordinate()) {
// if (Arrays.equals(coordinate, snakeCoordinate)) {
// iaqLearnings[value].receiveReward(currentState, mouvement, 1000, currentState);
// iaqLearning.receiveReward(currentState, mouvement, -500, currentState);
// isGameOver = true;
// break;
// }
// }
// mapIA.placePersonnages(iaqLearning);
// State nextState = iaqLearning.getCurrentState(mapIA.getGrid());
// iaqLearning.receiveReward(currentState, mouvement, -0.01, nextState);
// iaqLearning.increaseRound();
// mapIA.clearMap();
// map.clearMap();
// System.out.println("States 1: " + qTable1.getqValues().size() + " States 2: " + qTable2.getqValues().size());
// }
// if(isGameOver) break;
// }
// System.out.println(" States 1: " + qTable1.getqValues().size() + " States 2: " + qTable2.getqValues().size() + "Episode: " + episode);
// }
// qTable1.save(path1);
// }
// }