class_docstr: A Gaussian action noise
  
  :param mean: (float) the mean value of the noise
  :param sigma: (float) the scale of the noise (std here)
class_docstr_tok: ["A","Gaussian","action","noise",":","param","mean",":","(","float",")","the","mean","value","of","the","noise",":","param","sigma",":","(","float",")","the","scale","of","the","noise","(","std","here",")"]
code: def __init__(self, mean, sigma):
      super().__init__()
      self._mu = mean
      self._sigma = sigma
  
imports: from abc import ABC, abstractmethod
  import numpy
label_desc: Use image node_id 1 to create a new NormalActionNoise object from inherited base classes: ActionNoise with example: obj = NormalActionNoise(mean, sigma)