class_docstr: Normalize a Box action space to [-1, 1]^n.
code: def __init__(self, env):
      super().__init__(env)
      assert isinstance(env.action_space, gym.spaces.Box)
      self.action_space = gym.spaces.Box(
          low=-np.ones_like(env.action_space.low),
          high=np.ones_like(env.action_space.low),
      )
  
imports: import gym
  import gym.spaces
  import numpy
label_desc: Use image node_id 1 to create a new NormalizeActionSpace object from inherited base classes: gym with example: obj = NormalizeActionSpace(env)