class_docstr: An out-of-graph Replay Buffer for Prioritized Experience Replay.
  See circular_replay_buffer.py for details.
code: def get_transition_elements(self):
      parent_transition_elements = super(
          PrioritizedReplayBuffer, self
      ).get_transition_elements()
      return parent_transition_elements + ["sampling_probabilities"]
  
file_path: ReAgent/reagent/replay_memory/prioritized_replay_buffer.py
imports: import numpy
  import torch
  from reagent.replay_memory import circular_replay_buffer, sum_tree
label_desc: Use image node_id 7 for calling the PrioritizedReplayBuffer obj's underlying member method code with example usage: obj.get_transition_elements() and returns: unknown