class_docstr: Module for embedding (observation, action, reward) inputs together.
code: def __init__(self, torso: base.Module, num_actions: int):
      super().__init__(name="oar_embedding")
      self._num_actions = num_actions
      self._torso = torso
  
file_path: acme/acme/tf/networks/embedding.py
imports: from acme.tf.networks import base
  from acme.wrappers import observation_action_reward
  import sonnet
  import tensorflow
label_desc: Use image node_id 1 to create a new OAREmbedding object from inherited base classes: snt with example: obj = OAREmbedding(torso, num_actions)