docstr: model: should implement the function get_actor_params()
          
docstr_tok: ["model",":","should","implement","the","function","get_actor_params","(",")"]
code: def __init__(self, models, hyperparas):
      """model: should implement the function get_actor_params()"""
      self.models = models
      self.target_models = []
      for model in models:
          target_model = deepcopy(model)
          self.target_models.append(target_model)
  
      # fetch hyper parameters
      self.gamma = hyperparas["gamma"]
      self.tau = hyperparas["tau"]
      self.ensemble_num = hyperparas["ensemble_num"]
  
file_path: PARL/examples/NeurIPS2018-AI-for-Prosthetics-Challenge/multi_head_ddpg.py
imports: import parl
  from parl import layers
  from copy import deepcopy
  from paddle import fluid
label_desc: Use image node_id 1 to create a new MultiHeadDDPG object from inherited base classes: parl with example: obj = MultiHeadDDPG(models, hyperparas)