TensorFlow Reinforcement Learning Quick Start Guide

Coding ddpg.py

We will first code the ddpg.py 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 *

2. 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 ...