env.reset() 语义是什么？（env是一个虚拟环境）

from maze_env import Maze
from RL_brain import QLearningTable

def update():
    for episode in range(100):
        # initial observation
        observation = env.reset()

        while True:
            # fresh env
            env.render()

            # RL choose action based on observation
            action = RL.choose_action(str(observation))

            # RL take action and get next observation and reward
            observation_, reward, done = env.step(action)

            # RL learn from this transition
            RL.learn(str(observation), action, reward, str(observation_))

            # swap observation
            observation = observation_

            # break while loop when end of this episode
            if done:
                break

    # end of game
    print('game over')
    env.destroy()

重置 初始化