class_docstr: Utility class to return random actions of a desired shape and with given bounds.
code: def __init__(
      self,
      *,
      states,
      actions,
      parallel_interactions,
      config,
      summarizer,
      tracking,
  ):
      super().__init__(
          states=states,
          actions=actions,
          l2_regularization=0.0,
          parallel_interactions=parallel_interactions,
          config=config,
          saver=None,
          summarizer=summarizer,
          tracking=tracking,
      )
  
imports: import tensorflow
  from tensorforce.core import TensorDict, tf_function, tf_util
  from tensorforce.core.models import Model
label_desc: Use image node_id 1 to create a new RandomModel object from inherited base classes: Model with example: obj = RandomModel()