def random_to_random():
win_num = 0
for j in range(10000):
pos = Position(empty_board,'A',0,-1)
step = 0
while True:
try:
index = pos.pick_move()[0]
except Exception:
win_num+=0.5
break
pos = pos.move(index)
if pos.reward()!=0:
win_num+=1
break
try:
index2 = pos.pick_move()[0]
except Exception:
win_num+=0.5
break
pos = pos.move(index2)
if pos.reward()!=0:
break
step+=1
if step>=N*N:
win_num+=0.5
pos.show()
return win_num/100.0
def evaluate_random(net):
win_num = 0
for j in range(100):
pos = Position(empty_board,'A',0,-1)
step = 0
while True:
pos_array = encode_position(pos)
pos_array_new = np.expand_dims(pos_array,axis=0)
dis = net.predict_distribution(pos_array_new)
index = np.argmax(dis)
while index<N*N and pos.board[index]!='.':
dis[index] = 0.0
index = np.argmax(dis)
if index == N*N:
index = pos.pick_move()[0]
if pos.board[index]!='.':
win_num+=0.5
break
pos = pos.move(index)
if pos.reward()!=0:
win_num+=1
break
try:
index2 = pos.pick_move()[0]
except Exception:
win_num+=0.5
break
pos = pos.move(index2)
if pos.reward()!=0:
break
step+=1
if step>=N*N:
win_num+=0.5
pos.show()
return win_num/100.0