Esempio n. 1
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def play(network, ai_param=None):
    if ai_param is None:
        ai_param = dict(play_count=100)
    board = Board.init_board()

    ai1 = AlphaZero(network, history=True, **ai_param)
    ai2 = AlphaZero(network, history=True, **ai_param)
    hands = []
    while True:
        if not extract_valid_hand(board):
            board.side ^= True
            hands.append(Hand.pass_hand())
        if not extract_valid_hand(board):
            break
        if board.side:
            hand = ai1.put(board, hands)
        else:
            hand = ai2.put(board, hands)
        hands.append(hand)
        board = put_and_reverse(hand, board)

    result = judge_simple(board)
    history1 = ai1.history if isinstance(ai1, AlphaZero) else []
    history2 = ai2.history if isinstance(ai1, AlphaZero) else []
    for x in history1:
        x[-1] = result
    for x in history2:
        x[0] = x[0] * -1
        x[-1] = -result
    return history1 + history2
Esempio n. 2
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def main(sente=True):
    board = Board.init_board()
    ai = MiniMaxAI(5)
    print(view_board(board))
    hands = []
    while True:
        if not extract_valid_hand(board):
            board.side ^= True
            hands.append(Hand.pass_hand())
        if not extract_valid_hand(board):
            break
        if board.side ^ sente:
            hand = input_hand(board)
        else:
            hand = ai.put(board, hands)
            hands.append(hand)
            print("AI put: {}".format(hand))
        if (board.board == 0).sum() < 12:
            # 計算時間に余裕があるのでdeepに読む
            ai.depth = 8
        board = put_and_reverse(hand, board)
        print(view_board(board))

    print("=" * 10 + "  GAME OVER  " + "=" * 10)
    x_count = (board.board == 1).sum()
    o_count = (board.board == -1).sum()
    print("x: {}, o: {}".format(x_count, o_count))
Esempio n. 3
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def main(sente=True):
    board = Board.init_board()
    board.side = sente
    ai = MonteCarloAI()
    print(view_board(board))
    while True:
        if not extract_valid_hand(board):
            board.side ^= True
        if not extract_valid_hand(board):
            break
        if board.side:
            hand = input_hand(board)
        else:
            if (board.board == 0).sum() < 8:
                # 計算時間に余裕があるので全探索
                hand = ai.put_exhaustive_search(board)
            else:
                hand = ai.put(board)
            print("AI put: {}".format(hand))

        board = put_and_reverse(hand, board)
        print(view_board(board))

    print("=" * 10 + "  GAME OVER  " + "=" * 10)
    x_count = (board.board == 1).sum()
    o_count = (board.board == -1).sum()
    print("x: {}, o: {}".format(x_count, o_count))
Esempio n. 4
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def evaluate(ai1, ai2, sente=True, is_view=False):
    board = Board.init_board()
    if is_view:
        print(view_board(board))
    hands = []
    while True:
        if not extract_valid_hand(board):
            board.side ^= True
            hands.append(Hand.pass_hand())
            # print("pass hand!!")
        if not extract_valid_hand(board):
            break
        if board.side is sente:
            hand = ai1.put(board, hands)
        else:
            hand = ai2.put(board, hands)
        hands.append(hand)
        board = put_and_reverse(hand, board)

        if is_view:
            print(view_board(board))
    # print(ai2.history)
    if is_view:
        print("=" * 10 + "  GAME OVER  " + "=" * 10)
        x_count = (board.board == 1).sum()
        o_count = (board.board == -1).sum()
        print("x: {}, o: {}".format(x_count, o_count))
    return judge_simple(board) * (1 if sente else -1)
Esempio n. 5
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 def _calc_valid_hand_p(self, p: np.ndarray,
                        board: Board) -> Tuple[np.ndarray, List[Hand]]:
     p = p[:-1].reshape((8, 8))
     hands = extract_valid_hand(board)
     valid_p = np.array([p[hand.hand[0]][hand.hand[1]] for hand in hands])
     result = valid_p / sum(valid_p + 1e-18)
     return result, hands
Esempio n. 6
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def play_out(board: Board) -> float:
    root_board = board
    while not is_finished(board):
        valid_hands = extract_valid_hand(board)
        if len(valid_hands) == 0:
            board = Board(board.board, not board.side)
            continue
        hand = np.random.choice(valid_hands)
        board = put_and_reverse(hand, board)
    return judge_simple(board) * (1 if root_board.side else -1)
Esempio n. 7
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 def _extract_valid_hand(self, board: Board):
     ret = extract_valid_hand(board)
     if ret:
         return ret
     else:
         return [Hand.pass_hand()]
Esempio n. 8
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 def put(self, board: Board, hands: List[Hand]) -> Hand:
     hands = extract_valid_hand(board)
     return np.random.choice(hands)
Esempio n. 9
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 def test_false_side(self):
     board = Board.init_board(False)
     actual = extract_valid_hand(board)
     expected = [(2, 4), (4, 2), (3, 5), (5, 3)]
     self.assertEquals(set(expected), set(i.hand for i in actual))