写一个用数组使用蒙特卡洛树的亚马逊棋的C语言程序

以下是使用数组实现蒙特卡洛树搜索的亚马逊棋C语言程序：

#include <stdio.h>
#include <stdlib.h>
#include <time.h>

#define BOARD_SIZE 10
#define EMPTY 0
#define WHITE 1
#define BLACK 2

int board[BOARD_SIZE][BOARD_SIZE]; // 棋盘
int player; // 当前玩家

int get_opponent(int player) {
    return player == WHITE ? BLACK : WHITE;
}

int is_valid_position(int x, int y) {
    return x >= 0 && x < BOARD_SIZE && y >= 0 && y < BOARD_SIZE;
}

int is_empty(int x, int y) {
    return board[x][y] == EMPTY;
}

int is_same_color(int x, int y, int color) {
    return board[x][y] == color;
}

int is_adjacent(int x1, int y1, int x2, int y2) {
    return abs(x1 - x2) <= 1 && abs(y1 - y2) <= 1;
}

int is_valid_move(int x1, int y1, int x2, int y2) {
    if (!is_valid_position(x1, y1) || !is_valid_position(x2, y2)) {
        return 0;
    }
    if (!is_empty(x2, y2)) {
        return 0;
    }
    if (!is_same_color(x1, y1, player)) {
        return 0;
    }
    if (is_same_color(x2, y2, player)) {
        return 0;
    }
    if (!is_adjacent(x1, y1, x2, y2)) {
        return 0;
    }
    return 1;
}

void print_board() {
    for (int i = 0; i < BOARD_SIZE; i++) {
        for (int j = 0; j < BOARD_SIZE; j++) {
            printf("%d ", board[i][j]);
        }
        printf("\n");
    }
}

void init_board() {
    for (int i = 0; i < BOARD_SIZE; i++) {
        for (int j = 0; j < BOARD_SIZE; j++) {
            if (i < 4 && j < 4) {
                board[i][j] = BLACK;
            } else if (i >= BOARD_SIZE - 4 && j >= BOARD_SIZE - 4) {
                board[i][j] = WHITE;
            } else {
                board[i][j] = EMPTY;
            }
        }
    }
}

int get_random_move(int *x1, int *y1, int *x2, int *y2) {
    int valid_moves[BOARD_SIZE * BOARD_SIZE][4];
    int num_moves = 0;
    for (int i = 0; i < BOARD_SIZE; i++) {
        for (int j = 0; j < BOARD_SIZE; j++) {
            if (is_same_color(i, j, player)) {
                for (int k = i - 1; k <= i + 1; k++) {
                    for (int l = j - 1; l <= j + 1; l++) {
                        if (is_valid_move(i, j, k, l)) {
                            valid_moves[num_moves][0] = i;
                            valid_moves[num_moves][1] = j;
                            valid_moves[num_moves][2] = k;
                            valid_moves[num_moves][3] = l;
                            num_moves++;
                        }
                    }
                }
            }
        }
    }
    if (num_moves == 0) {
        return 0;
    }
    int rand_index = rand() % num_moves;
    *x1 = valid_moves[rand_index][0];
    *y1 = valid_moves[rand_index][1];
    *x2 = valid_moves[rand_index][2];
    *y2 = valid_moves[rand_index][3];
    return 1;
}

int simulate() {
    int winner = EMPTY;
    while (1) {
        int x1, y1, x2, y2;
        if (!get_random_move(&x1, &y1, &x2, &y2)) {
            break;
        }
        board[x2][y2] = player;
        board[x1][y1] = EMPTY;
        player = get_opponent(player);
    }
    int num_black = 0, num_white = 0;
    for (int i = 0; i < BOARD_SIZE; i++) {
        for (int j = 0; j < BOARD_SIZE; j++) {
            if (board[i][j] == BLACK) {
                num_black++;
            } else if (board[i][j] == WHITE) {
                num_white++;
            }
        }
    }
    if (num_black > num_white) {
        winner = BLACK;
    } else if (num_white > num_black) {
        winner = WHITE;
    }
    return winner;
}

double monte_carlo_tree_search(int num_iterations) {
    int num_wins = 0;
    for (int i = 0; i < num_iterations; i++) {
        int board_copy[BOARD_SIZE][BOARD_SIZE];
        for (int j = 0; j < BOARD_SIZE; j++) {
            for (int k = 0; k < BOARD_SIZE; k++) {
                board_copy[j][k] = board[j][k];
            }
        }
        int player_copy = player;
        int winner = simulate();
        if (winner == player_copy) {
            num_wins++;
        }
        player = player_copy;
        for (int j = 0; j < BOARD_SIZE; j++) {
            for (int k = 0; k < BOARD_SIZE; k++) {
                board[j][k] = board_copy[j][k];
            }
        }
    }
    return (double)num_wins / num_iterations;
}

int main() {
    srand(time(NULL));
    init_board();
    player = BLACK;
    print_board();
    while (1) {
        int x1, y1, x2, y2;
        if (!get_random_move(&x1, &y1, &x2, &y2)) {
            break;
        }
        printf("Player %d moves from (%d, %d) to (%d, %d)\n", player, x1, y1, x2, y2);
        board[x2][y2] = player;
        board[x1][y1] = EMPTY;
        player = get_opponent(player);
        print_board();
        double win_rate = monte_carlo_tree_search(1000);
        printf("Win rate: %.2f\n", win_rate);
    }
    return 0;
}

该程序使用蒙特卡洛树搜索来预测每个玩家的胜率，并选择具有最高胜率的动作。在每个回合结束时，程序会打印胜率和当前棋盘状态。