wip: implement action tree and minimax for ai
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parent
81cbec5348
commit
7a5d9dca76
@ -48,11 +48,13 @@ class AI {
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Character character = (Character)state.getEntities().findEntity(turn);
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BoardAnalyzer analyzer = new BoardAnalyzer(state, turn);
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Action action = analyzer.analyze(state, character.getPosition(), turn);
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Action action = analyzer.analyze(state);
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switch(action.type) {
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case None -> {
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System.out.println(" Result: doing nothing");
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result.add(new RequestBuilder(RequestType.EndRoundRequest)
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.buildGameRequest());
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}
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case Move -> {
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System.out.println(" Result: moving to " + action.target);
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@ -163,10 +165,12 @@ class AI {
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.buildCharacterRequest());
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}
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}
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}
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case EndTurn -> {
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System.out.println(" Result: ending turn");
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result.add(new RequestBuilder(RequestType.EndRoundRequest)
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.buildGameRequest());
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}
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}
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return result;
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}
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@ -51,4 +51,8 @@ class Action {
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this.targetEntity = targetEntity;
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this.stone = stone;
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}
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public String toString() {
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return this.type.toString();
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}
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}
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@ -6,5 +6,6 @@ enum ActionType {
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MeleeAttack,
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RangedAttack,
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UseStone,
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GiveStone
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GiveStone,
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EndTurn
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}
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@ -11,13 +11,22 @@ import java.util.Objects;
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class Board {
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private final Piece[][] data;
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private final EntityType origin;
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private final EntityID turn;
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public final EntityType origin;
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public final EntityID turn;
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public final boolean ended;
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private Board(Piece[][] data, EntityType origin, EntityID turn) {
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this.data = data;
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this.origin = origin;
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this.turn = turn;
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this.ended = false;
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}
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private Board(Piece[][] data, EntityType origin, EntityID turn, boolean ended) {
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this.data = data;
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this.origin = origin;
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this.turn = turn;
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this.ended = ended;
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}
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public static Board generate(GameStateView state, EntityID turn) {
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@ -100,10 +109,16 @@ class Board {
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}
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for(IntVector2 dir: IntVector2.CardinalDirections) {
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IntVector2 target = position.add(dir);
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if(target.getX() < 0 || target.getX() >= state.getMapSize().getX() || target.getY() < 0 || target.getY() >= state.getMapSize().getY()) {
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if(
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target.getX() < 0 || target.getX() >= state.getMapSize().getX() ||
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target.getY() < 0 || target.getY() >= state.getMapSize().getY()
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) {
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continue;
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}
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if(this.data[target.getY()][target.getX()].type == PieceType.Empty) {
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if(
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this.data[target.getY()][target.getX()].type == PieceType.Empty ||
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this.data[target.getY()][target.getX()].type == PieceType.Character
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) {
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result.add(new Action(ActionType.Move, target));
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}
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}
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@ -142,6 +157,9 @@ class Board {
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continue;
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}
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for(StoneType stone: StoneType.values()) {
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if(state.getStoneCooldown(stone) > 0) {
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continue;
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}
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if(!character.inventory.hasStone(stone)) {
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continue;
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}
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@ -223,6 +241,9 @@ class Board {
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}
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}
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}
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case EndTurn -> {
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result.add(new Action(ActionType.EndTurn));
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}
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}
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}
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@ -251,6 +272,8 @@ class Board {
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}
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}
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boolean ended = false;
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//TODO: finalize action applying
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switch(action.type) {
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@ -262,9 +285,10 @@ class Board {
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case MeleeAttack -> {
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clone[action.target.getY()][action.target.getX()].hp.decreaseValue(character.meleeDamage);
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current.ap.decreaseValue(1);
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//todo: drop stones........
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}
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case RangedAttack -> {
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clone[action.target.getY()][action.target.getX()].hp.decreaseValue(character.meleeDamage);
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clone[action.target.getY()][action.target.getX()].hp.decreaseValue(character.rangedDamage);
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current.ap.decreaseValue(1);
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}
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case UseStone -> {
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@ -292,12 +316,32 @@ class Board {
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case GiveStone -> {
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}
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case EndTurn -> {
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ended = true;
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}
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}
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//...get next turn in turn order...
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//TODO: figure out next turn properly
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if(ended || (current.mp.getValue() == 0 && current.ap.getValue() == 0)) {
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ArrayList<EntityID> alive = new ArrayList<>();
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for(EntityID next: state.getTurnOrder()) {
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if(next.type == EntityType.NPC && next.id == NPCType.Thanos.getID()) {
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alive.add(next);
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}else if(next.type == EntityType.P1 || next.type == EntityType.P2) {
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if(((Character)state.getEntities().findEntity(next)).isAlive()) {
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alive.add(next);
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}
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}
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}
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int index = alive.indexOf(turn);
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if(index == alive.size() - 1) {
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return new Board(clone, origin, turn, true);
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}else {
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return new Board(clone, origin, alive.get(index + 1));
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}
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}else {
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return new Board(clone, origin, turn);
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}
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}
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protected float calculateScore() {
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float score = 0;
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@ -1,6 +1,5 @@
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package uulm.teamname.marvelous.gamelibrary.ai;
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import uulm.teamname.marvelous.gamelibrary.IntVector2;
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import uulm.teamname.marvelous.gamelibrary.entities.EntityID;
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import uulm.teamname.marvelous.gamelibrary.entities.EntityType;
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import uulm.teamname.marvelous.gamelibrary.gamelogic.GameStateView;
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@ -11,18 +10,148 @@ import java.util.HashMap;
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class BoardAnalyzer {
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private final Board origin;
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private final EntityType player;
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private final HashMap<Integer, Float> cache = new HashMap<>();
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private final HashMap<Integer, Float> scoreCache = new HashMap<>();
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private final HashMap<Integer, ArrayList<Action>> actionCache = new HashMap<>();
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private Action bestAction = null;
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public BoardAnalyzer(GameStateView state, EntityID turn) {
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this.origin = Board.generate(state, turn);
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this.player = turn.type;
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}
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public Action analyze(GameStateView state, IntVector2 position, EntityID turn) {
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ArrayList<Action> actions = origin.generateActions(state);
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public Action analyze(GameStateView state) {
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Node tree = new Node(origin, new Action(ActionType.None));
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//TODO: create minimax tree
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int maxDepth = 2;
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int depth = 0;
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long startTime = System.nanoTime();
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while(System.nanoTime() - startTime <= 1000 * 1000 * 1000) {
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expandTree(tree, state);
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depth++;
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if(depth > maxDepth) {
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break;
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}
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}
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alphaBetaMax(tree, Float.MIN_VALUE, Float.MAX_VALUE, true);
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if(bestAction != null) {
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return bestAction;
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}
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return new Action(ActionType.None);
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}
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private Float alphaBetaMax(Node root, Float a, Float b, boolean main) {
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if(!root.hasChildren()) {
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return calculateScore(root.board);
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}
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Float w = a;
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for(Node child: root.getChildren()) {
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Float v;
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if(child.board.turn.type == child.board.origin) {
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v = alphaBetaMax(child, a, w, false);
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}else {
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v = alphaBetaMin(child, w, b);
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}
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if(v > w) {
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w = v;
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}
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if(w >= b) {
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if(main) {
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bestAction = child.action;
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}
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return w;
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}
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if(main) {
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bestAction = child.action;
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}
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}
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return w;
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}
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private Float alphaBetaMin(Node root, Float a, Float b) {
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if(!root.hasChildren()) {
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return calculateScore(root.board);
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}
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Float w = b;
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for(Node child: root.getChildren()) {
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Float v;
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if(child.board.turn.type == child.board.origin) {
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v = alphaBetaMax(child, a, w, false);
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}else {
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v = alphaBetaMin(child, w, b);
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}
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if(v < w) {
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w = v;
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}
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if(w <= a) {
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return w;
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}
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}
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return w;
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}
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private ArrayList<Node> getLeaves(Node root) {
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return getLeaves(root, new ArrayList<>());
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}
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private ArrayList<Node> getLeaves(Node root, ArrayList<Node> accumulator) {
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for(Node child: root.getChildren()) {
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if(child.hasChildren()) {
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getLeaves(child, accumulator);
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}else {
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accumulator.add(child);
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}
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}
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return accumulator;
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}
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private void expandTree(Node root, GameStateView state) {
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if(!root.hasChildren()) {
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expandNode(root, state);
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return;
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}
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for(Node child: root.getChildren()) {
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if(child.board.ended) {
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continue;
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}
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if(child.hasChildren()) {
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expandTree(child, state);
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}else {
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expandNode(child, state);
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}
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}
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}
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private void expandNode(Node origin, GameStateView state) {
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ArrayList<Action> actions = generateActions(origin.board, state);
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for(Action action: actions) {
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Board result = origin.board.applyAction(state, action);
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scoreCache.put(result.hashCode(), result.calculateScore());
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origin.addChild(result, action, result.calculateScore());
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}
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}
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private ArrayList<Action> generateActions(Board board, GameStateView state) {
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int hash = board.hashCode();
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if(actionCache.containsKey(hash)) {
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return actionCache.get(hash);
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}else {
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ArrayList<Action> result = board.generateActions(state);
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actionCache.put(hash, result);
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return result;
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}
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}
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private Float calculateScore(Board board) {
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int hash = board.hashCode();
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if(scoreCache.containsKey(hash)) {
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return scoreCache.get(hash);
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}else {
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Float result = board.calculateScore();
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scoreCache.put(hash, result);
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return result;
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}
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}
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}
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@ -0,0 +1,60 @@
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package uulm.teamname.marvelous.gamelibrary.ai;
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import java.util.ArrayList;
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import java.util.List;
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public class Node {
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public final Board board;
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public final Action action;
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public final Float score;
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private final List<Node> children = new ArrayList<>();
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private Node parent = null;
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public Node(Board board, Action action) {
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this.board = board;
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this.action = action;
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this.score = 0f;
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}
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public Node(Board board, Action action, Float score) {
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this.board = board;
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this.action = action;
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this.score = score;
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}
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public void addChild(Node child) {
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child.setParent(this);
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this.children.add(child);
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}
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public void addChild(Board board, Action action) {
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this.addChild(new Node(board, action));
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}
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public void addChild(Board board, Action action, Float score) {
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this.addChild(new Node(board, action, score));
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}
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public void addChildren(List<Node> children) {
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for(Node t : children) {
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t.setParent(this);
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}
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this.children.addAll(children);
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}
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public List<Node> getChildren() {
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return children;
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}
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public boolean hasChildren() {
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return !children.isEmpty();
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}
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private void setParent(Node parent) {
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this.parent = parent;
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}
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public Node getParent() {
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return parent;
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}
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}
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@ -8,15 +8,15 @@ import java.util.HashSet;
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class Piece {
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public final PieceType type;
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public final EntityID id;
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public EntityID id;
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public final Stat hp;
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public final Stat mp;
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public final Stat ap;
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public Stat hp;
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public Stat mp;
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public Stat ap;
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public final HashSet<StoneType> inventory;
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public HashSet<StoneType> inventory;
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public final StoneType stone;
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public StoneType stone;
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public Piece(PieceType type) {
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this.type = type;
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@ -69,17 +69,13 @@ class Piece {
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}
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public Piece clone() {
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return new Piece(
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this.type,
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this.id,
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this.hp.getValue(),
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this.hp.getMax(),
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this.mp.getValue(),
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this.mp.getMax(),
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this.ap.getValue(),
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this.ap.getMax(),
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this.inventory.toArray(new StoneType[0]),
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this.stone
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);
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Piece clone = new Piece(type);
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clone.id = this.id != null ? this.id.clone() : null;
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clone.hp = this.hp != null ? new Stat(StatType.HP, this.hp.getValue(), this.hp.getMax()) : null;
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clone.mp = this.mp != null ? new Stat(StatType.MP, this.mp.getValue(), this.mp.getMax()) : null;
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clone.ap = this.ap != null ? new Stat(StatType.AP, this.ap.getValue(), this.ap.getMax()) : null;
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clone.inventory = this.inventory != null ? (HashSet<StoneType>)this.inventory.clone() : null;
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clone.stone = this.stone;
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return clone;
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}
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}
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