Book Image

Unity 2020 By Example - Third Edition

By : Wells
Book Image

Unity 2020 By Example - Third Edition

By: Wells

Overview of this book

The Unity game engine, used by millions of developers around the world, is popular thanks to its features that enable you to create games and 3D apps for desktop and mobile platforms in no time. With Unity 2020, this state-of-the-art game engine introduces enhancements in Unity tooling, editor, and workflow, among many other additions. The third edition of this Unity book is updated to the new features in Unity 2020 and modern game development practices. Once you’ve quickly got to grips with the fundamentals of Unity game development, you’ll create a collection, a twin-stick shooter, and a 2D adventure game. You’ll then explore advanced topics such as machine learning, virtual reality, and augmented reality by building complete projects using the latest game tool kit. As you implement concepts in practice, this book will ensure that you come away with a clear understanding of Unity game development. By the end of the book, you'll have a firm foundation in Unity development using C#, which can be applied to other engines and programming languages. You'll also be able to create several real-world projects to add to your professional game development portfolio.
Table of Contents (16 chapters)

Installing ML-Agents

With the advent of ML-Agents v1.0, the process of installing ML-Agents has been improved significantly. However, there are still a few additional steps beyond installing the package through the Package Manager. We will cover them in detail in this section.

As outlined in the Introducing ML-Agents section, the ML-Agent toolkit consists of three components: the ML-Agents Unity package and three Python packages, called mlagents, mlagents_env, and gym_unity. If you're unfamiliar with Python, don't worry; we'll go step-by-step through how to install the packages here.

Important Note

As gym_unity is a wrapper to interface with OpenAI Gym, which we're not using, we won't be using the gym_unity Python package. For more information on OpenAI Gym, please see https://gym.openai.com.

From the components in the toolkit, we can start to understand how we'll train the Agent. We'll use the ML-Agents package to create a learning Agent...