-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathplay.py
68 lines (56 loc) · 1.71 KB
/
play.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
import sys
from OmegaGomoku import *
import tkinter.messagebox as msgbox
from train import board_size, win_size, model_dir
def make_dqn_agent():
dqn = DQN(
board_size,
win_size,
hyperparameters=Hyperparameters(epsilon=0),
cuda=True,
training=False
)
last_episode = dqn.last_saved_episode(model_dir)
if last_episode == 0:
msgbox.showerror("错误", "没有训练好的模型")
exit(0)
if len(sys.argv) > 1:
last_episode = int(sys.argv[1])
print(f"Loading Episode: {last_episode}")
dqn.load(last_episode, model_dir)
agent = DQNAgent(deep_q_network=dqn, writer=None, model_dir=model_dir)
return dqn, agent
gui_board = GUIBoard(board_size, mode=GameType.PLAYER_VS_AI)
dqn, agent = make_dqn_agent()
human_agent = HumanAgent(gui_board=gui_board)
env = GomokuEnv(
rival_agent=human_agent,
board_size=board_size,
win_size=win_size,
gui_board=gui_board
)
quit = False
while not quit:
board = env.reset()
done = False
steps = 0
terminal_status = 0
try:
while not done:
steps += 1
# 先手,AI智能体
player = env.current_player
action = agent.act(board, player)
board, reward, terminal_status = env.step(action)
done = terminal_status is not None
try:
msgbox.showinfo("游戏结束",
"AI获胜" if terminal_status == 1 else "人类获胜" if terminal_status == -1 else "平局")
except Exception as e:
print(e)
except Exception as e:
if str(e) == "User Exit":
quit = True
print("Bye.")
else:
print(e)