class_docstr: Action distribution P(a1, a2) = P(a1) * P(a2 | a1)
code: def kl(self, other):
      a1_dist = self._a1_distribution()
      a1_terms = a1_dist.kl(other._a1_distribution())
  
      a1 = a1_dist.sample()
      a2_terms = self._a2_distribution(a1).kl(
          other._a2_distribution(a1)
      )
      return a1_terms + a2_terms
  
imports: from ray.rllib.models.tf.tf_action_dist import Categorical, ActionDistribution
  from ray.rllib.models.torch.torch_action_dist import TorchCategorical, TorchDistributionWrapper
  from ray.rllib.utils.framework import try_import_tf, try_import_torch
label_desc: Use image node_id 6 for calling the TorchBinaryAutoregressiveDistribution obj's underlying member method code with example usage: obj.kl(other) and returns: unknown