import gym import time # 生成环境 env = gym.make('CartPole-v1') # 环境初始化 state = env.reset() # 循环交互 while True: # 渲染画面 env.render() # 从动作空间随机获取一个动作 action = env.action_space.sample() # agent与环境进行一步交互 # state, reward, done, info = env.step(action) state, reward, done, info = env.step(action) print('state = {0}; reward = {1}'.format(state, reward)) # 判断当前episode 是否完成 if done: print('done') break time.sleep(2) # 环境结束 env.close()
强化学习gym环境测试代码
最新推荐文章于 2023-03-29 09:51:43 发布