Putting it all together

The main.py script puts together the logic of the environment, DQN, and agent appropriately, enabling the car to learn driving through reinforcement learning. Detailed code is as follows:

import sys
#sys.path.append('/home/santanu/ML_DS_Catalog-/Python-Artificial-Intelligence-Projects_backup/Python-Artificial-Intelligence-Projects/Chapter09/Scripts/')
from gym import envs
from Agents import Agent,RandomAgent
from helper_functions import action_list,model_save
from environment import environment
import argparse
import numpy as np
import random
from sum_tree import sum_tree
from sklearn.externals import joblib

'''
This is the main module for training and testing the CarRacing Application from gym
'''

if __name__ == "__main__":
    #Define the Parameters for training the Model

    parser = argparse.ArgumentParser(description...