class_docstr: Additive Gaussian noise to actions.
  
  Each action must be numpy.ndarray.
  
  Args:
      scale (float or array_like of floats): Scale parameter.
      low (float, array_like of floats, or None): Lower bound of action
          space used to clip an action after adding a noise. If set to None,
          clipping is not performed on lower edge.
      high (float, array_like of floats, or None): Higher bound of action
          space used to clip an action after adding a noise. If set to None,
          clipping is not performed on upper edge.
code: def select_action(self, t, greedy_action_func, action_value=None):
      a = greedy_action_func()
      noise = np.random.normal(scale=self.scale, size=a.shape).astype(
          np.float32
      )
      if self.low is not None or self.high is not None:
          return np.clip(a + noise, self.low, self.high)
      else:
          return a + noise
  
imports: import numpy
  from pfrl import explorer
label_desc: Use image node_id 2 for calling the AdditiveGaussian obj's underlying member method code with example usage: obj.select_action(t, greedy_action_func, action_value) and returns: np, unknown