code: def train(self, b_o, b_a, b_r, b_o_, b_d):
      self._train_func(b_o, b_a, b_r, b_o_, b_d)
  
      self.niter += 1
      if self.niter % target_q_update_freq == 0:
          sync(self.qnet, self.targetqnet)
          self.save(args.save_path)
  
imports: import argparse
  import os
  import random
  import time
  import gym
  import matplotlib.pyplot
  import numpy
  import tensorflow
  import tensorlayer
label_desc: Use image node_id 4 for calling the DQN obj's underlying member method code with example usage: obj.train(b_o, b_a, b_r, b_o_, b_d) without return types