class_docstr: the network for generating non-deterministic (Gaussian distributed) action from the state input 
class_docstr_tok: ["the","network","for","generating","non-deterministic","(","Gaussian","distributed",")","action","from","the","state","input"]
docstr: generate random actions for exploration 
docstr_tok: ["generate","random","actions","for","exploration"]
code: def sample_action(self):
      """generate random actions for exploration"""
      a = tf.random.uniform([self.num_actions], -1, 1)
      return self.action_range * a.numpy()
  
imports: import argparse
  import os
  import random
  import time
  import gym
  import matplotlib.pyplot
  import numpy
  import tensorflow
  import tensorflow_probability
  import tensorlayer
  from tensorlayer.layers import Dense
  from tensorlayer.models import Model
label_desc: Use image node_id 5 for calling the PolicyNetwork obj's underlying member method code with example usage: obj.sample_action() and returns: unknown