Book Image

Hands-On Intelligent Agents with OpenAI Gym

By : Palanisamy P
Book Image

Hands-On Intelligent Agents with OpenAI Gym

By: Palanisamy P

Overview of this book

Many real-world problems can be broken down into tasks that require a series of decisions to be made or actions to be taken. The ability to solve such tasks without a machine being programmed requires a machine to be artificially intelligent and capable of learning to adapt. This book is an easy-to-follow guide to implementing learning algorithms for machine software agents in order to solve discrete or continuous sequential decision making and control tasks. Hands-On Intelligent Agents with OpenAI Gym takes you through the process of building intelligent agent algorithms using deep reinforcement learning starting from the implementation of the building blocks for configuring, training, logging, visualizing, testing, and monitoring the agent. You will walk through the process of building intelligent agents from scratch to perform a variety of tasks. In the closing chapters, the book provides an overview of the latest learning environments and learning algorithms, along with pointers to more resources that will help you take your deep reinforcement learning skills to the next level.
Table of Contents (12 chapters)

Code repository, setup, and configuration

First of all, let's make sure you have all the information to access the code repository for this book. The source code provides you with all the necessary code samples that we will discuss in this book and provides additional details on how to set up and run the training or testing scripts for each chapter specifically. To get started, head to the book's code repository on GitHub at the following link: https://github.com/PacktPublishing/Hands-On-Intelligent-Agents-with-OpenAI-Gym.

Create a GitHub account if you do not already have one and fork the repository so that it is added to your own GitHub account. This is recommended as it allows you to make any changes to the code you prefer while following along, and also allow you to send a pull request when you have something cool to show and be featured on the book's blog!

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