code: def _add_advantage_and_value_target_to_episodes(
      episodes, gamma, lambd
  ):
      """Add advantage and value target values to a list of episodes."""
      for episode in episodes:
          _add_advantage_and_value_target_to_episode(
              episode, gamma=gamma, lambd=lambd
          )
  
imports: import collections
  import itertools
  import random
  import numpy
  import torch
  import torch.nn.functional
  import pfrl
  from pfrl import agent
  from pfrl.utils.batch_states import batch_states
  from pfrl.utils.mode_of_distribution import mode_of_distribution
  from pfrl.utils.recurrent import concatenate_recurrent_states, flatten_sequences_time_first, get_recurrent_state_at, mask_recurrent_state_at, one_step_forward, pack_and_forward
label_desc: Use image node_id 4 for calling a global function with example usage: _add_advantage_and_value_target_to_episodes(episodes, gamma, lambd) without return types