We will first code the file. The steps that are involved are as follows.

We will now summarize the DDPG code:

  1. Importing the required packages: We will import the required packages and other Python files:
import tensorflow as tfimport numpy as npimport gymfrom gym import wrappersimport argparseimport pprint as ppimport sysfrom replay_buffer import ReplayBufferfrom AandC import *from TrainOrTest import *
  1. Defining the train() function: We will define the train() function. This takes the argument parser object, args. We create a TensorFlow session as sess. The name of the environment is used to make a Gym environment stored in the env object. We also set the random number of seeds and the maximum number of steps for ...

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