class_docstr: Predict the RSSM's z^(t+1), given h(t), z^(t), and a(t).
  
  Disagreement (stddev) between the N networks in this model on what the next z^ would
  be are used to produce intrinsic rewards for enhanced, curiosity-based exploration.
  
  TODO
code: def call(self, inputs, z, a, training=None):
      return self.forward_train(a=a, h=inputs, z=z)
  
file_path: ray/python/ray/rllib/algorithms/dreamerv3/tf/models/disagree_networks.py
imports: from ray.rllib.algorithms.dreamerv3.tf.models.components.mlp import MLP
  from ray.rllib.algorithms.dreamerv3.tf.models.components.representation_layer import RepresentationLayer
  from ray.rllib.utils.framework import try_import_tf, try_import_tfp
label_desc: Use image node_id 2 for calling the DisagreeNetworks obj's underlying member method code with example usage: obj.call(inputs, z, a, training) and returns: self