class_docstr: Jax DQN network for classic control environments.
code: def setup(self):
      if self.min_vals is not None:
          assert self.max_vals is not None
          self._min_vals = jnp.array(self.min_vals)
          self._max_vals = jnp.array(self.max_vals)
      initializer = nn.initializers.xavier_uniform()
      self.layers = [
          nn.Dense(features=self.hidden_units, kernel_init=initializer)
          for _ in range(self.num_layers)
      ]
      self.final_layer = nn.Dense(
          features=self.num_actions, kernel_init=initializer
      )
  
imports: import itertools
  import time
  from typing import Optional, Sequence, Tuple, Union
  from absl import logging
  from dopamine.discrete_domains import atari_lib
  from flax import linen
  import gin
  import jax
  import jax.numpy
  import numpy
label_desc: Use image node_id 1 for calling the ClassicControlDQNNetwork obj's underlying member method code with example usage: obj.setup() without return types