class_docstr: A recurrent network for use with IMPALA.
  
  See https://arxiv.org/pdf/1802.01561.pdf for more information.
code: def __init__(self, num_actions: int):
      super().__init__(name="impala_atari_network")
      self._embed = embedding.OAREmbedding(
          DeepAtariTorso(use_layer_norm=True), num_actions
      )
      self._core = hk.GRU(256)
      self._head = policy_value.PolicyValueHead(num_actions)
      self._num_actions = num_actions
  
imports: from typing import Any, Optional, Sequence, Tuple
  from acme.jax.networks import base
  from acme.jax.networks import duelling
  from acme.jax.networks import embedding
  from acme.jax.networks import policy_value
  from acme.jax.networks import resnet
  from acme.wrappers import observation_action_reward
  import haiku
  import jax
  import jax.numpy
label_desc: Use image node_id 1 to create a new DeepIMPALAAtariNetwork object from inherited base classes: hk with example: obj = DeepIMPALAAtariNetwork(num_actions)