class_docstr: A buffer for storing trajectories experienced by a TRPO agent interacting
  with the environment, and using Generalized Advantage Estimation (GAE-lambda)
  for calculating the advantages of state-action pairs.
class_docstr_tok: ["A","buffer","for","storing","trajectories","experienced","by","a","TRPO","agent","interacting","with","the","environment",",","and","using","Generalized","Advantage","Estimation","(","GAE-lambda",")","for","calculating","the","advantages","of","state-action","pairs","."]
code: def is_full(self):
      return self.ptr == self.max_size
  
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 5 for calling the GAE_Buffer obj's underlying member method code with example usage: obj.is_full() and returns: unknown