code: def initialize_actor_critic(
      actor, critic, Z, Z_cf_tilde, Y_m, Y_t, C, **kwargs
  ):
      """
      Initialize actor and critic layers by passing a dummy zero tensor.
  
      Parameters
      ----------
      actor
          Actor model.
      critic
          Critic model.
      Z
          Input embedding.
      Z_cf_tilde
          Noised counterfactual embedding.
      Y_m
          Input classification label.
      Y_t
          Target counterfactual classification label.
      C
          Conditional tensor.
      **kwargs
          Other arguments. Not used.
      """
      # Define zero data.
      Z = tf.zeros((1, *Z.shape[1:]), dtype=tf.float32)
      Z_cf_tilde = tf.zeros(
          (1, *Z_cf_tilde.shape[1:]), dtype=tf.float32
      )
      Y_m = tf.zeros((1, *Y_m.shape[1:]), dtype=tf.float32)
      Y_t = tf.zeros((1, *Y_t.shape[1:]), dtype=tf.float32)
  
      # Define actor input.
      actor_input = [Z, Y_m, Y_t]
  
      if C is not None:
          C = tf.zeros((1, *C.shape[1:]), dtype=tf.float32)
          actor_input += [C]
  
      actor_input = tf.concat(actor_input, axis=1)
  
      # Define critic input.
      critic_input = [actor_input, Z_cf_tilde]
      critic_input = tf.concat(critic_input, axis=1)
  
      # Build actor and critic.
      actor(actor_input)
      critic(critic_input)
  
imports: import os
  import random
  from typing import Any, List, Dict, Callable, Union, Optional, TYPE_CHECKING
  import numpy
  import tensorflow
  import tensorflow.keras
  from alibi.explainers.backends.cfrl_base import CounterfactualRLDataset
  from alibi.models.tensorflow.actor_critic import Actor, Critic
label_desc: Use image node_id 13 for calling a global function with example usage: initialize_actor_critic(actor, critic, Z, Z_cf_tilde, Y_m, Y_t, C) without return types