def generate_successors(
self,
state: TwoPlayerGameState,
) -> List[TwoPlayerGameState]:
"""Generate the list of successors of a game state."""
successors = []
board = state.board
moves = self._get_valid_moves(board, state.next_player.label)
for move in moves:
board_successor = copy.deepcopy(state.board)
assert isinstance(state.next_player, Player)
# show the move on the board
board_successor[move] = state.next_player.label
# flip enemy
for enemy in self._enemy_captured_by_move(board, move, state.next_player.label):
board_successor[enemy] = state.next_player.label
move_code = self._matrix_to_display_coordinates(move)
successor = state.generate_successor(
board_successor,
move_code,
)
successors.append(successor)
if not successors:
board_successor = copy.deepcopy(state.board)
move_code = None
no_movement = state.generate_successor(
board_successor,
move_code,
)
successors = [ no_movement ]
return successors
def complex_evaluation_function(state: TwoPlayerGameState) -> float:
"""Return zero, except for terminal game states."""
state_value = 0
if state.end_of_game:
scores = state.scores
# Evaluation of the state from the point of view of MAX
assert isinstance(scores, (Sequence, np.ndarray))
score_difference = scores[0] - scores[1]
if state.is_player_max(state.player1):
state_value = score_difference
elif state.is_player_max(state.player2):
state_value = -score_difference
else:
raise ValueError('Player MAX not defined')
else:
successors = state.game.generate_successors(state)
# Minimize the number of your opponent moves (for MAX).
score_difference = -len(successors)
if state.is_player_max(state.player1):
state_value = score_difference
elif state.is_player_max(state.player2):
state_value = -score_difference
return state_value
def evaluate(self, state: TwoPlayerGameState) -> float:
if not isinstance(state.game, Reversi):
return 0
if isinstance(state.board, dict):
board = state.board
else:
board = reversi.from_array_to_dictionary_board(state.board)
game = state.game
corners = [board.get((1, 1)), board.get((1, game.height)), board.get((game.width, 1)),
board.get((game.width, game.height))]
x_squares = [board.get((2, 2)), board.get((2, game.height - 1)), board.get((game.width - 1, 2)),
board.get((game.width - 1, game.height - 1))]
corner_diff = 0
for i in range(4):
if corners[i] == game.player1.label:
corner_diff += 4
elif corners[i] == game.player2.label:
corner_diff -= 4
else:
if x_squares[i] == game.player1.label:
corner_diff -= 1
elif x_squares[i] == game.player2.label:
corner_diff += 1
mobility = len(game._get_valid_moves(board, state.player2.label)) # Opponent's mobility
result = 4 * corner_diff - mobility
if state.is_player_max(state.player1):
return result
elif state.is_player_max(state.player2):
return - result
else:
raise ValueError('Player MAX not defined')
def evaluate(self, state: TwoPlayerGameState) -> float:
""" Minimizes captures to limit opponent's mobility """
coins_taken = state.scores[1] - state.parent.scores[1]
if state.is_player_max(state.player1):
return -coins_taken
if state.is_player_max(state.player2):
return coins_taken
else:
raise ValueError('Player MAX not defined')
def evaluate(self, state: TwoPlayerGameState) -> float:
game, board = state.game, state.board
utility = 0.4 * game._coin_diff(board) + 0.3 * game._choice_diff(
board) + 0.3 * game._corner_diff(board)
if state.is_player_max(state.player1):
return -utility / 100
if state.is_player_max(state.player2):
return utility / 100
else:
raise ValueError('Player MAX not defined')
def general_evaluation_function(state: TwoPlayerGameState, func: Callable[[TwoPlayerGameState], float]) -> float:
if state.end_of_game:
scores = state.scores
score_difference = scores[0] - scores[1]
if state.is_player_max(state.player1):
return score_difference
if state.is_player_max(state.player2):
return - score_difference
else:
raise ValueError('Player MAX not defined')
return func(state)
def evaluate(self, state: TwoPlayerGameState) -> float:
score = 0
for pos in state.board:
if pos not in state.parent.board: # i. e. the move played
if pos in X_POSITIONS:
score = -1
if pos in C_POSITIONS:
score = -.5
break
if state.is_player_max(state.player1):
return score / 2
if state.is_player_max(state.player2):
return -score / 2
else:
raise ValueError('Player MAX not defined')
def evaluate(self, state: TwoPlayerGameState) -> float:
"""Evaluate a state."""
# Prevent modifications of the state.
# Deep copy everything, except attributes related
# to graphical display.
state_copy = state.clone()
return self.evaluation_function(state_copy)
def simple_evaluation_function(state: TwoPlayerGameState) -> float:
"""Return a random value, except for terminal game states."""
state_value = 2 * np.random.rand() - 1
if state.end_of_game:
scores = state.scores
# Evaluation of the state from the point of view of MAX
assert isinstance(scores, (Sequence, np.ndarray))
score_difference = scores[0] - scores[1]
if state.is_player_max(state.player1):
state_value = score_difference
elif state.is_player_max(state.player2):
state_value = -score_difference
else:
raise ValueError('Player MAX not defined')
return state_value
def evaluation_function(state: TwoPlayerGameState) -> float:
scores = state.scores
score_difference = scores[0] - scores[1]
score_sum = scores[0] + scores[1]
if state.end_of_game:
if state.is_player_max(state.player1):
state_value = score_difference
elif state.is_player_max(state.player2):
state_value = -score_difference
else:
raise ValueError('Player MAX not defined')
else:
# Calculamos el momento de la partida
stage = ((state.game.height * state.game.width) - 4) / 60
stab = stability(state)
mob = mobility(state)
cor = corner(state)
score = 100 * score_difference / score_sum
# Early game
if score_sum <= (stage * 20):
num = (45 * stab + 30 * mob + 5 * cor + 20 * score)
if state.is_player_max(state.player1):
state_value = num
elif state.is_player_max(state.player2):
state_value = -num
# Late game
elif score_sum >= (stage * 54):
num = (20 * stab + 5 * mob + 30 * cor + 45 * score)
if state.is_player_max(state.player1):
state_value = num
elif state.is_player_max(state.player2):
state_value = -num
# Mid game
else:
num = (30 * stab + 20 * mob + 45 * cor + 5 * score)
if state.is_player_max(state.player1):
state_value = num
elif state.is_player_max(state.player2):
state_value = -num
return state_value
def create_match(player1: Player, player2: Player) -> TwoPlayerMatch:
dim_board = 8
initial_board = None
initial_player = player1
game = Reversi(player1=player1,
player2=player2,
height=dim_board,
width=dim_board)
game_state = TwoPlayerGameState(
game=game,
board=initial_board,
initial_player=initial_player,
)
return TwoPlayerMatch(game_state, max_sec_per_move=5, gui=False)
def create_match(player1: Player, player2: Player) -> TwoPlayerMatch:
dim_board = 3
initial_board = np.zeros((dim_board, dim_board))
initial_player = player1
game = TicTacToe(
player1=player1,
player2=player2,
dim_board=dim_board,
)
game_state = TwoPlayerGameState(
game=game,
board=initial_board,
initial_player=initial_player,
)
return TwoPlayerMatch(game_state, max_sec_per_move=1000, gui=False)
def generate_successors(
self,
state: TwoPlayerGameState,
) -> List[TwoPlayerGameState]:
"""Generate the list of successors of a game state."""
successors = []
n_rows, n_columns = np.shape(state.board)
for i in range(n_rows):
for j in range(n_columns):
if (state.board[i, j] == 0):
# Prevent modification of the board
board_successor = copy.deepcopy(state.board)
assert isinstance(state.next_player, Player)
board_successor[i, j] = state.next_player.label
move_code = self._matrix_to_display_coordinates(i, j)
successor = state.generate_successor(
board_successor,
move_code,
)
successors.append(successor)
return successors
except ValueError:
raise ValueError('Wrong configuration of the board')
else:
print("Successfully initialised board from array")
# Initialize a reversi game.
game = Reversi(
player1=player_a,
player2=player_b,
height=height,
width=width,
)
# Initialize a game state.
game_state = TwoPlayerGameState(
game=game,
board=initial_board,
initial_player=initial_player,
)
# Initialize a match.
match = TwoPlayerMatch(
game_state,
max_sec_per_move=1000,
gui=True,
)
# Play match
scores = match.play_match()
input('Press any key to finish.')
def evaluate(self, state: TwoPlayerGameState) -> float:
if isinstance(state.board, dict):
board = state.board
else:
board = reversi.from_array_to_dictionary_board(state.board)
count = 0
# Inferior edge
c = board.get((1, 1))
ini = c
if c is None:
count -= get_sign(board.get((2, 2)), state) * 2
else:
count += get_sign(c, state) * 4
inc, nxt_streak, n_streak = edge(board, state, c, 1, False, False)
count += inc
# Right edge
c = board.get((8, 1))
if c is not None and c == nxt_streak:
count += get_sign(c, state) * n_streak * 3
if c is None:
count -= get_sign(board.get((7, 2)), state) * 2
else:
count += get_sign(c, state) * 4
inc, nxt_streak, n_streak = edge(board, state, c, 8, False, True)
count += inc
# Superior edge
c = board.get((8, 8))
if c is not None and c == nxt_streak:
count += get_sign(c, state) * n_streak * 3
if c is None:
count -= get_sign(board.get((7, 7)), state) * 2
else:
count += get_sign(c, state) * 4
inc, nxt_streak, n_streak = edge(board, state, c, 8, True, False)
count += inc
# Left edge
c = board.get((1, 8))
if c is not None and c == nxt_streak:
count += get_sign(c, state) * n_streak * 3
if c is None:
count -= get_sign(board.get((2, 7)), state) * 2
else:
count += get_sign(c, state) * 4
inc, nxt_streak, n_streak = edge(board, state, c, 1, True, True)
count += inc
if nxt_streak is not None and nxt_streak == ini:
count += get_sign(c, state) * n_streak * 3
if state.is_player_max(state.player1):
return count
elif state.is_player_max(state.player2):
return -count
else:
raise ValueError('Player MAX not defined')
def evaluate(self, state: TwoPlayerGameState) -> float:
if isinstance(state.board, dict):
board = state.board
else:
board = reversi.from_array_to_dictionary_board(state.board)
count = 0
# Inferior edge
n_streak = 0
nxt_streak = None
c = board.get((1, 1))
ini = c
if c is None:
count -= get_sign(board.get((2, 2)), state) * 2
cur_streak = None
else:
count += get_sign(c, state) * 4
cur_streak = c
for i in range(2, 8):
c = board.get((i, 1))
count += get_sign(c, state)
if c == cur_streak and c is not None:
n_streak += 1
else:
if cur_streak is not None:
count += get_sign(cur_streak, state) * n_streak * 3
cur_streak = None
if cur_streak is None:
if c == nxt_streak and c is not None:
n_streak += 1
else:
nxt_streak = c
n_streak = 1
if cur_streak is not None:
count += get_sign(c, state) * n_streak * 3
# Right edge
c = board.get((8, 1))
if c is not None and c == nxt_streak:
count += get_sign(c, state) * n_streak * 3
cur_streak = c
nxt_streak = None
n_streak = 0
if c is None:
count -= get_sign(board.get((7, 2)), state) * 2
else:
count += get_sign(c, state) * 4
for i in range(2, 8):
c = board.get((8, i))
count += get_sign(c, state)
if c == cur_streak and c is not None:
n_streak += 1
else:
if cur_streak is not None:
count += get_sign(cur_streak, state) * n_streak * 3
cur_streak = None
if cur_streak is None:
if c == nxt_streak and c is not None:
n_streak += 1
else:
nxt_streak = c
n_streak = 1
if cur_streak is not None:
count += get_sign(c, state) * n_streak * 3
# Superior edge
c = board.get((8, 8))
if c is not None and c == nxt_streak:
count += get_sign(c, state) * n_streak * 3
cur_streak = c
nxt_streak = None
n_streak = 0
if c is None:
count -= get_sign(board.get((7, 7)), state) * 2
else:
count += get_sign(c, state) * 4
for i in range(1, 7):
c = board.get((8 - i, 8))
count += get_sign(c, state)
if c == cur_streak and c is not None:
n_streak += 1
else:
if cur_streak is not None:
count += get_sign(cur_streak, state) * n_streak * 3
cur_streak = None
if cur_streak is None:
if c == nxt_streak and c is not None:
n_streak += 1
else:
nxt_streak = c
n_streak = 1
if cur_streak is not None:
count += get_sign(c, state) * n_streak * 3
# Left edge
c = board.get((1, 8))
if c is not None and c == nxt_streak:
count += get_sign(c, state) * n_streak * 3
cur_streak = c
nxt_streak = None
n_streak = 0
if c is None:
count -= get_sign(board.get((2, 7)), state) * 2
else:
count += get_sign(c, state) * 4
for i in range(1, 7):
c = board.get((1, 8 - i))
count += get_sign(c, state)
if c == cur_streak and c is not None:
n_streak += 1
else:
if cur_streak is not None:
count += get_sign(cur_streak, state) * n_streak * 3
cur_streak = None
if cur_streak is None:
if c == nxt_streak and c is not None:
n_streak += 1
else:
nxt_streak = c
n_streak = 1
if cur_streak is not None:
count += get_sign(c, state) * n_streak * 3
if nxt_streak is not None and nxt_streak == ini:
count += get_sign(c, state) * n_streak * 3
if state.is_player_max(state.player1):
return count
elif state.is_player_max(state.player2):
return - count
else:
raise ValueError('Player MAX not defined')
