class_docstr: Write me
      
class_docstr_tok: ["Write","me"]
code: def metrics_names(self):
      names = self.critic.metrics_names[:]
      if self.processor is not None:
          names += self.processor.metrics_names[:]
      return names
  
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 12 for calling the DDPGAgent obj's underlying member method code with example usage: obj.metrics_names() and returns: names