class_docstr: A recurrent network for use with R2D2.
  
  See https://openreview.net/forum?id=r1lyTjAqYX for more information.
class_docstr_tok: ["A","recurrent","network","for","use","with","R2D2",".","See","https",":","\/\/openreview.net\/forum","?","id=r1lyTjAqYX","for","more","information","."]
code: def initial_state(
      self, batch_size: int, **unused_kwargs
  ) -> base.State:  # pytype: disable=invalid-annotation
      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 R2D2AtariNetwork obj's underlying member method code with example usage: obj.initial_state(batch_size) and returns: self