code: def __init__(self, policy, q_func):
      super().__init__(policy=policy, q_function=q_func)
  
imports: import copy
  from logging import getLogger
  import chainer
  from chainer import cuda
  import chainer.functions
  from chainerrl.agent import AttributeSavingMixin
  from chainerrl.agent import BatchAgent
  from chainerrl.misc.batch_states import batch_states
  from chainerrl.misc.copy_param import synchronize_parameters
  from chainerrl.recurrent import Recurrent
  from chainerrl.recurrent import RecurrentChainMixin
  from chainerrl.recurrent import state_kept
  from chainerrl.replay_buffer import batch_experiences
  from chainerrl.replay_buffer import ReplayUpdater
label_desc: Use image node_id 1 to create a new DDPGModel object from inherited base classes: chainer, RecurrentChainMixin with example: obj = DDPGModel(policy, q_func)