class_docstr: A duelling recurrent network for use with Atari observations as seen in R2D2.
  
  See https://openreview.net/forum?id=r1lyTjAqYX for more information.
code: def __init__(self, num_actions: int):
      super().__init__(name="r2d2_atari_network")
      self._embed = embedding.OAREmbedding(
          DeepAtariTorso(hidden_sizes=[512], use_layer_norm=True),
          num_actions,
      )
      self._core = hk.LSTM(512)
      self._duelling_head = duelling.DuellingMLP(
          num_actions, hidden_sizes=[512]
      )
      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 R2D2AtariNetwork object from inherited base classes: hk with example: obj = R2D2AtariNetwork(num_actions)