class_docstr: GRU-based policy model.
      
code: def __init__(self, config):
      self.n_actions = config["n_actions"]
      self.rnn_hidden_dim = config["rnn_hidden_dim"]
  
      self.fc1 = layers.fc(
          size=self.rnn_hidden_dim, act=None, name="fc1"
      )
      self.gru = layers.GRUCell(
          hidden_size=self.rnn_hidden_dim, name="gru"
      )
      self.fc2 = layers.fc(size=self.n_actions, act=None, name="fc2")
  
file_path: PARL/benchmark/fluid/QMIX/rnn_model.py
imports: import numpy
  import parl
  from parl import layers
  import paddle.fluid
label_desc: Use image node_id 1 to create a new RNNModel object from inherited base classes: parl with example: obj = RNNModel(config)