Learn Unity ML-Agents - Fundamentals of Unity Machine Learning
Unity Machine Learning Agents allows researchers and developers to create games and simulations using the Unity Editor which serve as environments where intelligent agents can be trained with machine learning methods through a simple-to-use Python API. This book takes you from the basics of Reinforcement and Q Learning to building Deep Recurrent Q-Network agents that cooperate or compete in a multiagent ecosystem.
Offered by
Difficulty Level
Intermediate
Completion Time
6h48m
Language
English
About Book
Who Is This Book For?
This book is intended for developers with an interest in using Machine learning algorithms to develop better games and simulations with Unity. The reader will be required to have a working knowledge of C# and a basic understanding of Python.
Learn Unity ML-Agents - Fundamentals of Unity Machine Learning
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 6h48m total length
Introducing Machine Learning & ML-Agents
The Bandit and Reinforcement Learning
Deep Reinforcement Learning with Python
Adding Agent Exploration and Memory
Playing the Game
Terrarium Revisited – Building A Multi-Agent Ecosystem
Related Resources
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