Read Learn Unity ML-Agents – Fundamentals of Unity Machine Learning: Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games

Learn Unity ML-Agents – Fundamentals of Unity Machine Learning: Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games

Micheal Lanham

4.9/5 (14950 ratings)

Description:Transform games into environments using machine learning and Deep learning with Tensorflow, Keras, and Unity Unity Machine Learning agents allow researchers and developers to create games and simulations using the Unity Editor, which serves as an environment 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 multi-agent ecosystem. You will start with the basics of Reinforcement Learning and how to apply it to problems. Then you will learn how to build self-learning advanced neural networks with Python and Keras/TensorFlow. From there you move o n to more advanced training scenarios where you will learn further innovative ways to train your network with A3C, imitation, and curriculum learning models. By the end of the book, you will have learned how to build more complex environments by building a cooperative and competitive multi-agent ecosystem. This book is intended for developers with an interest in using Machine learning algorithms to develop better games and simulations with Unity.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Learn Unity ML-Agents – Fundamentals of Unity Machine Learning: Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games. To get started finding Learn Unity ML-Agents – Fundamentals of Unity Machine Learning: Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Pages: —

Format: PDF, EPUB & Kindle Edition

Publisher: —

Release: —

ISBN: 1789131863

Description: Transform games into environments using machine learning and Deep learning with Tensorflow, Keras, and Unity Unity Machine Learning agents allow researchers and developers to create games and simulations using the Unity Editor, which serves as an environment 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 multi-agent ecosystem. You will start with the basics of Reinforcement Learning and how to apply it to problems. Then you will learn how to build self-learning advanced neural networks with Python and Keras/TensorFlow. From there you move o n to more advanced training scenarios where you will learn further innovative ways to train your network with A3C, imitation, and curriculum learning models. By the end of the book, you will have learned how to build more complex environments by building a cooperative and competitive multi-agent ecosystem. This book is intended for developers with an interest in using Machine learning algorithms to develop better games and simulations with Unity.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Learn Unity ML-Agents – Fundamentals of Unity Machine Learning: Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games. To get started finding Learn Unity ML-Agents – Fundamentals of Unity Machine Learning: Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.

Special Offer | $0.00

Special Offer! | $0.00

Learn Unity ML-Agents – Fundamentals of Unity Machine Learning: Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games

Learn Unity ML-Agents – Fundamentals of Unity Machine Learning: Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games

More Books

AI Agents in Action

AI Agents in Action

Practical AI on the Google Cloud Platform: Utilizing Google's State-of-the-Art AI Cloud Services

Practical AI on the Google Cloud Platform: Utilizing Google's State-of-the-Art AI Cloud Services

Hands-On Deep Learning for Games: Leverage the power of neural networks and reinforcement learning to build intelligent games

Hands-On Deep Learning for Games: Leverage the power of neural networks and reinforcement learning to build intelligent games

Game Audio Development with Unity 5.X

Game Audio Development with Unity 5.X

Generating a New Reality: From Autoencoders and Adversarial Networks to Deepfakes

Generating a New Reality: From Autoencoders and Adversarial Networks to Deepfakes

Hands-On Deep Leaning for Games

Hands-On Deep Leaning for Games

Hands-On Reinforcement Learning for Games: Implementing self-learning agents in games using artificial intelligence techniques

Hands-On Reinforcement Learning for Games: Implementing self-learning agents in games using artificial intelligence techniques

Augmented Reality Game Development

Augmented Reality Game Development