class_docstr: Sample DQN agent to visualize Q-values and rewards.
class_docstr_tok: ["Sample","DQN","agent","to","visualize","Q-values","and","rewards","."]
code: def get_q_values(self):
      return self.q_values
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl import logging
  from dopamine.agents.dqn import dqn_agent
  from dopamine.agents.rainbow import rainbow_agent
  from dopamine.discrete_domains import atari_lib
  from dopamine.discrete_domains import iteration_statistics
  from dopamine.discrete_domains import run_experiment
  from dopamine.utils import agent_visualizer
  from dopamine.utils import atari_plotter
  from dopamine.utils import bar_plotter
  from dopamine.utils import line_plotter
  import gin
  import numpy
  import tensorflow
  import tf_slim
label_desc: Use image node_id 5 for calling the MyDQNAgent obj's underlying member method code with example usage: obj.get_q_values() and returns: self