你能给我一个ai自动训练贪吃蛇的代码吗
时间: 2024-03-24 22:40:38 浏览: 42
当然可以,以下是一个简单的 Python 代码,用于训练贪吃蛇的 AI:
```python
import random
class Snake:
def __init__(self, width, height):
self.width = width
self.height = height
self.snake = [(width//2, height//2)]
self.direction = random.choice(['up', 'down', 'left', 'right'])
self.food = self.new_food()
def move(self):
head = self.snake[-1]
if self.direction == 'up':
new_head = (head[0], head[1]-1)
elif self.direction == 'down':
new_head = (head[0], head[1]+1)
elif self.direction == 'left':
new_head = (head[0]-1, head[1])
elif self.direction == 'right':
new_head = (head[0]+1, head[1])
if new_head == self.food:
self.snake.append(new_head)
self.food = self.new_food()
elif new_head[0] < 0 or new_head[0] >= self.width or \
new_head[1] < 0 or new_head[1] >= self.height or \
new_head in self.snake:
return False
else:
self.snake.append(new_head)
self.snake.pop(0)
return True
def new_food(self):
while True:
food = (random.randint(0, self.width-1), random.randint(0, self.height-1))
if food not in self.snake:
return food
def get_state(self):
head = self.snake[-1]
body = self.snake[:-1]
left = (head[0]-1, head[1])
right = (head[0]+1, head[1])
up = (head[0], head[1]-1)
down = (head[0], head[1]+1)
state = [int(left in body or left[0] < 0),
int(right in body or right[0] >= self.width),
int(up in body or up[1] < 0),
int(down in body or down[1] >= self.height),
int(self.direction == 'up'),
int(self.direction == 'down'),
int(self.direction == 'left'),
int(self.direction == 'right'),
int(self.food[0] < head[0]),
int(self.food[0] > head[0]),
int(self.food[1] < head[1]),
int(self.food[1] > head[1])]
return state
def turn_left(self):
if self.direction == 'up':
self.direction = 'left'
elif self.direction == 'down':
self.direction = 'right'
elif self.direction == 'left':
self.direction = 'down'
elif self.direction == 'right':
self.direction = 'up'
def turn_right(self):
if self.direction == 'up':
self.direction = 'right'
elif self.direction == 'down':
self.direction = 'left'
elif self.direction == 'left':
self.direction = 'up'
elif self.direction == 'right':
self.direction = 'down'
def train(snake, model, iterations=1000, batch_size=32, gamma=0.9):
for i in range(iterations):
X_batch = []
y_batch = []
score = 0
snake.__init__(snake.width, snake.height)
while True:
state = snake.get_state()
Q = model.predict([state])[0]
action = np.argmax(Q)
if action == 0:
snake.turn_left()
elif action == 1:
snake.turn_right()
if not snake.move():
reward = -10
X_batch.append(state)
y_batch.append([reward]*4)
break
if snake.snake[-1] == snake.food:
reward = 10
else:
reward = -1
X_batch.append(state)
next_state = snake.get_state()
Q_next = model.predict([next_state])[0]
max_Q_next = np.max(Q_next)
y = [reward]*4
y[action] = reward + gamma*max_Q_next
y_batch.append(y)
state = next_state
score += 1
model.fit(np.array(X_batch), np.array(y_batch), batch_size=batch_size, epochs=1, verbose=0)
print('Iteration', i+1, 'Score', score)
```
这个代码使用 Keras 来定义了一个简单的神经网络模型,用于训练贪吃蛇的 AI。你需要使用 Python3 和 Keras 库来运行此代码。
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