def evaluate_players(p1: Player,
p2: Player,
games_per_battle=100,
num_battles=100,
randomize: bool = False,
p1_name: str = 'Player 1',
p2_name: str = 'Player2'):
board = Board()
p1_wins = []
p2_wins = []
draws = []
game_number = []
game_counter = 0
TFSessionManager.set_session(tf.Session())
TFSessionManager.get_session().run(tf.global_variables_initializer())
for i in range(num_battles):
# Allows randomization for training full model.
first_play = bool(random.getrandbits(1))
if not randomize or first_play:
p1win, p2win, draw = battle(p1, p2, games_per_battle)
else:
p2win, p1win, draw = battle(p2, p1, games_per_battle)
p1_wins.append(p1win)
p2_wins.append(p2win)
draws.append(draw)
game_counter = game_counter + 1
game_number.append(game_counter)
TFSessionManager.set_session(None)
return game_number, p1_wins, p2_wins, draws
def evaluate_players(p1: Player,
p2: Player,
games_per_battle=100,
num_battles=100):
board = Board()
p1_wins = []
p2_wins = []
draws = []
game_number = []
game_counter = 0
TFSessionManager.set_session(tf.Session())
TFSessionManager.get_session().run(tf.global_variables_initializer())
for i in range(num_battles):
p1win, p2win, draw = battle(p1, p2, games_per_battle, False)
p1_wins.append(p1win)
p2_wins.append(p2win)
draws.append(draw)
game_counter = game_counter + 1
game_number.append(game_counter)
TFSessionManager.set_session(None)
return game_number, p1_wins, p2_wins, draws
p1_wins = []
p1count = 0
p2_wins = []
p2count = 0
draws = []
drawcount = 0
count = []
num_battles = 100
games_per_battle = 10
TFSessionManager.set_session(tf.Session())
TFSessionManager.get_session().run(tf.global_variables_initializer())
for i in range(num_battles):
p1win, p2win, draw = battle(player1, player2, games_per_battle, True)
p1_wins.append(p1win)
p1count += p1win
p2_wins.append(p2win)
p2count += p2win
draws.append(draw)
drawcount += draw
count.append(i * games_per_battle)
#TFSessionManager.set_session(None)
p = plt.plot(count, draws, 'r-', count, p1_wins, 'g-', count, p2_wins, 'b-')
print("p1 wins = " + str(p1count / (num_battles * games_per_battle) * 100) +
"% (green)")
print("p2 wins = " + str(p2count / (num_battles * games_per_battle) * 100) +
"% (blue)")
print("ties = " + str(drawcount / (num_battles * games_per_battle) * 100) +
"% (red)")
TFSessionManager.get_session().run(tf.global_variables_initializer())
writer = tf.summary.FileWriter('log', TFSessionManager.get_session().graph)
# nnplayer rndplayer mm_player
p1_t = deep_nnplayer
p2_t = mm_player
p1 = p1_t
p2 = p2_t
# nnplayer.training= False
# nnplayer2.training= False
for i in range(num_training_battles):
p1win, p2win, draw = battle(p1_t, p2_t, games_per_battle, False)
p1_wins.append(p1win)
p2_wins.append(p2win)
draws.append(draw)
game_counter = game_counter + 1
game_number.append(game_counter)
# nnplayer.training= False
# nnplayer2.training= False
for i in range(num_battles):
p1win, p2win, draw = battle(p1, p2, games_per_battle, False)
p1_wins.append(p1win)
p2_wins.append(p2win)
draws.append(draw)
game_counter = game_counter + 1