如何在google colab上创建和使用自定义OpenAI健身房环境？

!pip install gym

!pip install <dependency>

import gym

class CustomEnv(gym.Env):
    def __init__(self):
        # 初始化环境
        pass

    def reset(self):
        # 重置环境
        pass

    def step(self, action):
        # 执行动作并返回观测、奖励、完成状态和其他信息
        pass

    def render(self):
        # 可选的渲染方法
        pass

import gym
from gym.envs.registration import register

# 注册自定义环境
register(
    id='CustomEnv-v0',
    entry_point='custom_env:CustomEnv',
)

# 创建环境实例
env = gym.make('CustomEnv-v0')

# 使用环境进行训练或测试
observation = env.reset()
done = False
while not done:
    action = env.action_space.sample()
    observation, reward, done, info = env.step(action)
    env.render()

# 关闭环境
env.close()