def run_against_random(self, num_games=25, game_num=0):
wrong_moves = 0
total_moves = 0
games_won = 0
for _ in range(num_games):
game = Hex(5, 1)
while len(game.get_moves()) > 0:
if game.player == Hex.PLAYER_TOP: # model player
next_move = ANET.predict(get_feature(
game.get_state(), game.player == Hex.PLAYER_LEFT),
model=self.model)
next_move = (
next_move[1], next_move[0]
) if game.player == Hex.PLAYER_LEFT else next_move
if next_move not in game.get_moves():
wrong_moves += 1
next_move = choice(game.get_moves())
else:
next_move = choice(game.get_moves())
game.do_move(next_move)
total_moves += 1
res_model = game.get_result(Hex.PLAYER_TOP)
res_random = game.get_result(Hex.PLAYER_LEFT)
if res_model == 0 and res_random == 0:
print("Draw")
continue
games_won += res_model
win_rate = games_won / num_games
wrong_moves_rate = wrong_moves / total_moves
pp.pprint("Game {} : {}".format(game_num, win_rate))
pp.pprint("Wrong moves: {}".format(wrong_moves_rate))
return win_rate, wrong_moves_rate
def run_tournament(self, path="topp"):
self.fetch_game_models(path)
games = self.get_games()
wrong_moves = 0
total_moves = 0
for p1, p2 in games:
for i in range(self.num_games):
game = Hex(5, 1)
while len(game.get_moves()) > 0:
if self.random and game.player == Hex.PLAYER_LEFT:
next_move = choice(game.get_moves())
else:
model = self.models[p1 if game.player ==
Hex.PLAYER_TOP else p2]
next_move = ANET.predict(get_feature(
game.get_state(), game.player == Hex.PLAYER_LEFT),
model=model)
next_move = (
next_move[1], next_move[0]
) if game.player == Hex.PLAYER_LEFT else next_move
if next_move not in game.get_moves():
wrong_moves += 1
next_move = choice(game.get_moves())
total_moves += 1
game.do_move(next_move)
res_p1 = game.get_result(Hex.PLAYER_TOP)
res_p2 = game.get_result(Hex.PLAYER_LEFT)
if res_p1 == 0 and res_p2 == 0:
raise Exception
if res_p1 == 1 and res_p2 == 1:
raise Exception
winning_model = p1 if res_p1 == 1 else p2
loosing_model = p2 if res_p2 == 0 else p1
if self.results.get(
(winning_model, loosing_model)) is not None:
self.results[(winning_model, loosing_model)] += 1
else:
self.results[(winning_model, loosing_model)] = 1
pp = pprint.PrettyPrinter(indent=4)
pp.pprint(self.results)
if total_moves > 0:
pp.pprint("Wrong moves (%): " + str(wrong_moves / total_moves))