docstr: ES algorithm.
  
  Since parameters of the model is updated in the numpy level, `learn` function is not needed
  in this algorithm.
  
  Args:
      model (`parl.Model`): policy model of ES algorithm.
code: def __init__(self, model):
      """ES algorithm.
  
      Since parameters of the model is updated in the numpy level, `learn` function is not needed
      in this algorithm.
  
      Args:
          model (`parl.Model`): policy model of ES algorithm.
      """
      self.model = model
  
file_path: PARL/examples/NeurIPS2020-Learning-to-Run-a-Power-Network-Challenge/track1/es.py
imports: import parl
label_desc: Use image node_id 1 to create a new ES object from inherited base classes: parl with example: obj = ES(model)