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 __init__(self, scale, low=None, high=None):
      self.scale = scale
      self.low = low
      self.high = high
  
imports: import numpy
  from chainerrl import explorer
label_desc: Use image node_id 1 to create a new AdditiveGaussian object from inherited base classes: explorer with example: obj = AdditiveGaussian(scale, low, high)