The A3C algorithm applied to CartPole

Here, we will code A3C in TensorFlow and apply it so that we can train an agent to learn the CartPole problem. The following code files will be required to code:

• cartpole.py: This will start the training or testing process
• a3c.py: This is where the A3C algorithm is coded
• utils.py: This includes utility functions

Coding cartpole.py

We will now code cartpole.py. Follow these steps to get started:

1. First, we import the packages:

import numpy as np
import matplotlib.pyplot as plt
import tensorflow as tf
import gym
import os
import threading
import multiprocessing

from random import choice
from time import sleep
from time import time

from a3c import *
from utils import *

2. Next, we set the parameters...