def play_series(self, agt1, agt2):
player1_wins = 0
for i in range(self.G):
print("[{}>{}]".format("-" * i, "." * (self.G - i - 1)), end="\r")
sm = StateManager(5)
while not sm.is_finished():
player = sm.game.get_current_player()
state = np.array(
[np.concatenate((player, sm.game.board), axis=None)])
if player == 1:
predictions = agt1.predict(state)[0]
else:
predictions = agt2.predict(state)[0]
legal_moves = sm.get_legal_moves()
if len(sm.game.executedMoves) <= 1:
best_move = random.choice(legal_moves)
else:
best_move = self.choose_best_move(predictions, legal_moves)
sm.execute_move(best_move)
if sm.get_winner() == 1:
player1_wins += 1
print("{} won {}/{} against {}.".format(agt1.name, player1_wins,
self.G, agt2.name))
print(np.reshape(sm.game.board, (boardsize, boardsize)))
print(sm.game.executedMoves)
return player1_wins
def play_series(self, agt1, agt2):
player1_wins = 0
for i in range(self.G):
print("[{}>{}]".format("-" * i, "." * (self.G - i - 1)), end="\r")
game = StateManager(size=self.get_size())
if i == self.G - 1:
print_game = input("Print the last game? (Y/n): ")
else:
print_game = "n"
move_counter = 0
while not game.is_game_over():
game_state = game.get_nn_state()
player_turn = game_state[0]
if player_turn == 1:
predictions = agt1.predict(game_state)
else:
predictions = agt2.predict(game_state)
legal_moves = game.get_legal_moves()
if move_counter < topp_random_moves * 2:
move = random.choice(legal_moves)
else:
move = legal_moves[np.argmax(predictions)]
game.move(move)
move_counter += 1
if print_game.lower() == "y":
game.print_board()
if game.get_winner() == 1:
player1_wins += 1
print("{} won {}/{} against {}.".format(agt1.name, player1_wins,
self.G, agt2.name))
