class_docstr: A feed-forward network for use with Ape-X DQN.
  
  See https://arxiv.org/pdf/1803.00933.pdf for more information.
class_docstr_tok: ["A","feed-forward","network","for","use","with","Ape-X","DQN",".","See","https",":","\/\/arxiv.org\/pdf\/1803.00933.pdf","for","more","information","."]
code: def __init__(self, num_actions: int):
      super().__init__(name="dqn_atari_network")
      self._network = snt.Sequential(
          [
              AtariTorso(),
              duelling.DuellingMLP(num_actions, hidden_sizes=[512]),
          ]
      )
  
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 1 to create a new DQNAtariNetwork object from inherited base classes: base with example: obj = DQNAtariNetwork(num_actions)