给我一个强化学习模型的代码
时间: 2023-03-25 15:01:45 浏览: 95
以下是一个简单的强化学习模型的代码:
```python
import numpy as np
# 定义环境
class Environment:
def __init__(self):
self.state =
self.actions = [, 1]
self.rewards = [, 1]
def step(self, action):
reward = self.rewards[action]
if action == 1:
self.state = 1
return self.state, reward
# 定义智能体
class Agent:
def __init__(self):
self.Q = np.zeros((2, 2))
self.alpha = .1
self.gamma = .9
self.epsilon = .1
def choose_action(self, state):
if np.random.uniform() < self.epsilon:
action = np.random.choice([, 1])
else:
action = np.argmax(self.Q[state])
return action
def learn(self, state, action, reward, next_state):
td_error = reward + self.gamma * np.max(self.Q[next_state]) - self.Q[state][action]
self.Q[state][action] += self.alpha * td_error
# 定义主函数
def main():
env = Environment()
agent = Agent()
for i in range(100):
state = env.state
action = agent.choose_action(state)
next_state, reward = env.step(action)
agent.learn(state, action, reward, next_state)
print(agent.Q)
if __name__ == '__main__':
main()
```
这个代码实现了一个简单的强化学习模型,使用 Q-learning 算法来学习在一个二元状态空间中选择动作的最优策略。
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