Implemented naive Monte Carlo move generator (simulates 10 random moves for 3 turns by each player).
Consequently, it performs strictly worse than Alpha-Beta, but usually avoids setting players up for an easy capture, unlike Alpha-Beta.
This commit is contained in:
@@ -1,48 +1,16 @@
|
||||
package model.comPlayer;
|
||||
|
||||
import java.util.Random;
|
||||
|
||||
import model.Board;
|
||||
import model.CellPointer;
|
||||
import model.Move;
|
||||
import model.Board.TileColor;
|
||||
|
||||
import model.comPlayer.generator.MonteCarloMoveGenerator;
|
||||
import model.comPlayer.generator.MoveGenerator;
|
||||
|
||||
public class MonteCarloComPlayer implements Player {
|
||||
private final Random rand = new Random();
|
||||
private MoveGenerator moveGenerator = new MonteCarloMoveGenerator();
|
||||
|
||||
@Override
|
||||
public Move getMove(Board board) {
|
||||
return getRandomMove(board,true);
|
||||
}
|
||||
|
||||
public Move getRandomMove(Board board, boolean isCompTurn) {
|
||||
TileColor tile = TileColor.BLUE;
|
||||
int r = -1;
|
||||
int c = -1;
|
||||
|
||||
while (tile != TileColor.NONE) {
|
||||
r = rand.nextInt(Board.NUM_ROWS);
|
||||
c = rand.nextInt(Board.NUM_COLS);
|
||||
|
||||
tile = board.getTile(r, c);
|
||||
}
|
||||
|
||||
switch (rand.nextInt(4)) {
|
||||
case 0:
|
||||
tile = TileColor.BLUE;
|
||||
break;
|
||||
case 1:
|
||||
tile = TileColor.GREEN;
|
||||
break;
|
||||
case 2:
|
||||
tile = TileColor.RED;
|
||||
break;
|
||||
case 3:
|
||||
tile = TileColor.YELLOW;
|
||||
}
|
||||
|
||||
return new Move(new CellPointer(r, c), tile);
|
||||
return moveGenerator.genMove(board, false);
|
||||
}
|
||||
|
||||
@Override
|
||||
@@ -59,4 +27,4 @@ public class MonteCarloComPlayer implements Player {
|
||||
public String toString() {
|
||||
return "Monte Carlo ComPlayer";
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -29,22 +29,6 @@ public class AlphaBetaMoveGenerator implements MoveGenerator {
|
||||
Integer.MAX_VALUE).move;
|
||||
}
|
||||
}
|
||||
|
||||
private SearchResult getMax(SearchResult sr1, SearchResult sr2) {
|
||||
if (sr1.score >= sr2.score) {
|
||||
return sr1;
|
||||
} else {
|
||||
return sr2;
|
||||
}
|
||||
}
|
||||
|
||||
private SearchResult getMin(SearchResult sr1, SearchResult sr2) {
|
||||
if (sr1.score <= sr2.score) {
|
||||
return sr1;
|
||||
} else {
|
||||
return sr2;
|
||||
}
|
||||
}
|
||||
|
||||
private SearchResult getMaxValue(Board board, boolean asHuman, int recursionLevel,
|
||||
int alpha, int beta) {
|
||||
@@ -72,7 +56,9 @@ public class AlphaBetaMoveGenerator implements MoveGenerator {
|
||||
SearchResult searchResult = new SearchResult(nextMove,getMinValue(nextBoard, !asHuman, recursionLevel - 1,
|
||||
alpha, beta).score);
|
||||
|
||||
bestResult = getMax(bestResult,searchResult);
|
||||
if (searchResult.compareTo(bestResult) > 0) {
|
||||
bestResult = searchResult;
|
||||
}
|
||||
|
||||
if (bestResult.score >= beta) {
|
||||
return bestResult;
|
||||
@@ -110,7 +96,9 @@ public class AlphaBetaMoveGenerator implements MoveGenerator {
|
||||
SearchResult searchResult = new SearchResult(nextMove,getMaxValue(nextBoard, !asHuman, recursionLevel - 1,
|
||||
alpha, beta).score);
|
||||
|
||||
bestResult = getMin(bestResult,searchResult);
|
||||
if (searchResult.compareTo(bestResult) < 0) {
|
||||
bestResult = searchResult;
|
||||
}
|
||||
|
||||
if (bestResult.score <= alpha) {
|
||||
return bestResult;
|
||||
|
||||
@@ -39,6 +39,11 @@ public class ValidMoveGenerator implements MoveGenerator {
|
||||
}
|
||||
|
||||
Collections.shuffle(validMoves);
|
||||
return validMoves;
|
||||
|
||||
if (nMoves == MoveGenerator.ALL_MOVES) {
|
||||
return validMoves;
|
||||
} else {
|
||||
return validMoves.subList(0, Math.min(validMoves.size(),nMoves));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user