class_docstr: trpo class
class_docstr_tok: ["trpo","class"]
docstr: get actor trainable parameters
  :return: flat actor trainable parameters
docstr_tok: ["get","actor","trainable","parameters",":","return",":","flat","actor","trainable","parameters"]
code: def get_pi_params(self):
      """
      get actor trainable parameters
      :return: flat actor trainable parameters
      """
      pi_params = self.actor.trainable_weights
      return self._flat_concat(pi_params)
  
imports: import argparse
  import copy
  import os
  import threading
  import time
  import gym
  import matplotlib.pyplot
  import numpy
  import scipy.signal
  import tensorflow
  import tensorflow_probability
  import tensorlayer
label_desc: Use image node_id 8 for calling the TRPO obj's underlying member method code with example usage: obj.get_pi_params() and returns: self