class_docstr: Write me
      
class_docstr_tok: ["Write","me"]
code: def uses_learning_phase(self):
      return (
          self.actor.uses_learning_phase
          or self.critic.uses_learning_phase
      )
  
imports: from __future__ import division
  from collections import deque
  import os
  import warnings
  import numpy
  import keras.backend
  import keras.optimizers
  from rl.core import Agent
  from rl.random import OrnsteinUhlenbeckProcess
  from rl.util import *
label_desc: Use image node_id 2 for calling the DDPGAgent obj's underlying member method code with example usage: obj.uses_learning_phase() and returns: unknown