code: def sync_target(
      self, model_id, decay=None, share_vars_parallel_executor=None
  ):
      if decay is None:
          decay = 1.0 - self.tau
      self.models[model_id].sync_weights_to(
          self.target_models[model_id],
          decay=decay,
          share_vars_parallel_executor=share_vars_parallel_executor,
      )
  
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 7 for calling the MultiHeadDDPG obj's underlying member method code with example usage: obj.sync_target(model_id, decay, share_vars_parallel_executor) without return types