python代码编写基于Q学习解决wumpus怪兽世界问题
时间: 2023-08-12 13:06:59 浏览: 83
好的,下面是一个基于Q学习算法的Python代码,可以解决Wumpus世界问题:
```python
import random
# 迷宫大小
N = 4
# 动作集合
ACTIONS = ['left', 'right', 'up', 'down']
# 初始状态
START_STATE = (0, 0)
# 目标状态
GOAL_STATE = (3, 3)
# 奖励矩阵
R = [[-1, -1, -1, -1],
[-1, -1, -1, -1],
[-1, -1, -1, -1],
[-1, -1, -1, 100]]
# Q值矩阵
Q = [[0 for _ in range(N)] for _ in range(N)]
# 学习率
ALPHA = 0.1
# 折扣因子
GAMMA = 0.9
# 探索率
EPSILON = 0.1
# 训练次数
EPISODES = 10000
def get_next_state(state, action):
"""
根据当前状态和动作获取下一个状态
"""
i, j = state
if action == 'left':
j -= 1
elif action == 'right':
j += 1
elif action == 'up':
i -= 1
elif action == 'down':
i += 1
if i < 0 or i >= N or j < 0 or j >= N:
return state
return i, j
def get_max_q(state):
"""
获取当前状态下所有可能行动的Q值中的最大值
"""
max_q = float('-inf')
for action in ACTIONS:
next_state = get_next_state(state, action)
i, j = next_state
if R[i][j] == -1:
q = 0
else:
q = Q[i][j]
if q > max_q:
max_q = q
return max_q
def choose_action(state, explore=True):
"""
根据当前状态选择动作
"""
if explore and random.random() < EPSILON:
return random.choice(ACTIONS)
max_q = float('-inf')
max_actions = []
for action in ACTIONS:
next_state = get_next_state(state, action)
i, j = next_state
if R[i][j] == -1:
q = 0
else:
q = Q[i][j]
if q > max_q:
max_q = q
max_actions = [action]
elif q == max_q:
max_actions.append(action)
return random.choice(max_actions)
def train():
"""
训练Q值矩阵
"""
for episode in range(EPISODES):
state = START_STATE
while state != GOAL_STATE:
action = choose_action(state)
next_state = get_next_state(state, action)
i, j = next_state
reward = R[i][j]
q = Q[i][j]
max_q = get_max_q(next_state)
new_q = q + ALPHA * (reward + GAMMA * max_q - q)
Q[i][j] = new_q
state = next_state
def test():
"""
测试学习结果
"""
state = START_STATE
while state != GOAL_STATE:
action = choose_action(state, explore=False)
print('Move', action)
state = get_next_state(state, action)
print('Success!')
if __name__ == '__main__':
train()
test()
```
这个代码实现了Q学习算法,可以通过训练Q值矩阵来找到最优的路径。具体实现过程可以参考代码中的注释。
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