class_docstr: A recurrent network for use with IMPALA.
  
  See https://arxiv.org/pdf/1802.01561.pdf for more information.
class_docstr_tok: ["A","recurrent","network","for","use","with","IMPALA",".","See","https",":","\/\/arxiv.org\/pdf\/1802.01561.pdf","for","more","information","."]
code: def initial_state(
      self, batch_size: int, **unused_kwargs
  ) -> snt.LSTMState:
      return self._core.initial_state(batch_size)
  
imports: from typing import Optional, Tuple
  from acme.tf.networks import base
  from acme.tf.networks import duelling
  from acme.tf.networks import embedding
  from acme.tf.networks import policy_value
  from acme.tf.networks import recurrence
  from acme.tf.networks import vision
  from acme.wrappers import observation_action_reward
  import sonnet
  import tensorflow
label_desc: Use image node_id 3 for calling the IMPALAAtariNetwork obj's underlying member method code with example usage: obj.initial_state(batch_size) and returns: self