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Dylan Engelbrecht
Introduction to Unity ML-Agents: Understand the Interplay of Neural Networks and Simulation Space Using the Unity ML-Agents Package
Introduction to Unity ML-Agents: Understand the Interplay of Neural Networks and Simulation Space Using the Unity ML-Agents Package
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- More about Introduction to Unity ML-Agents: Understand the Interplay of Neural Networks and Simulation Space Using the Unity ML-Agents Package
Unity ML-Agents is a powerful bridge between Unity and Python that allows developers to create efficient AI systems. This book will introduce you to the field of AI, discuss the progression of AI, and explore moral and ethical considerations. You will learn how to use Unity ML-Agents to train neural networks and incorporate them into your game or product.
Format: Paperback / softback
Length: 204 pages
Publication date: 26 January 2023
Publisher: APress
Demystify the Creation of Efficient AI Systems Using Unity ML-Agents
Artificial intelligence (AI) has come a long way since its inception, and it continues to evolve at an unprecedented pace. From simple rule-based systems to complex neural networks, AI has become an integral part of our daily lives. In this book, we will explore the world of AI, from its historical development to its current applications.
We will start by discussing the basics of AI, including its definition, goals, and limitations. We will then delve into the different types of AI systems, such as rule-based systems, neural networks, and machine learning. We will examine the strengths and weaknesses of each system and discuss how they are used in various industries.
One of the most exciting developments in AI is the use of model-based reinforcement learning. Unity ML-Agents is a powerful bridge between the world of Unity and Python, allowing developers to create efficient AI systems using a familiar programming language. In this book, we will introduce you to Unity ML-Agents and show you how to use it to create your first AI.
We will start by discussing the basics of reinforcement learning, including the concept of rewards and punishments. We will then explore how Unity ML-Agents can be used to train AI agents to perform complex tasks, such as navigating mazes, solving puzzles, and playing games.
Throughout the book, we will present challenges of varying difficulty, along with tips to reinforce concepts covered. We will also discuss the ethical and moral considerations associated with AI, such as privacy, bias, and accountability.
Who is this book for? This book is for anyone interested in machine learning using Unity ML-Agents. To get the best out of this book, you should have a fundamental understanding of C#, some background in Python, and are well versed in Unity.
Whether you are a game developer, a data scientist, or just a curious individual, this book will provide you with the knowledge and skills you need to create efficient AI systems using Unity ML-Agents. So, let's get started and explore the exciting world of AI!
Weight: 349g
Dimension: 235 x 155 (mm)
ISBN-13: 9781484289976
Edition number: 1st ed.
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