Hands-On Deep Learning for Games: Leverage the power of neural networks and reinforcement learning to build intelligent games
Author:   Micheal Lanham
Publisher:   Packt Publishing Limited
ISBN:  

9781788994071


Pages:   392
Publication Date:   30 March 2019
Format:   Paperback
Availability:   Available To Order   Availability explained
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Hands-On Deep Learning for Games: Leverage the power of neural networks and reinforcement learning to build intelligent games


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Author:   Micheal Lanham
Publisher:   Packt Publishing Limited
Imprint:   Packt Publishing Limited
ISBN:  

9781788994071


ISBN 10:   1788994078
Pages:   392
Publication Date:   30 March 2019
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Table of Contents Deep Learning for Games Convolutional and Recurrent Networks GAN for Games Building a Deep Learning Gaming Chatbot Introducing DRL Unity ML-Agents Agent and the Environment Understanding PPO Rewards and Reinforcement Learning Imitation and Transfer Learning Building Multi-Agent Environments Debugging/Testing a Game with DRL Obstacle Tower Challenge and Beyond

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Author Information

Micheal Lanham is a proven software and tech innovator with 20 years of experience. During that time, he has developed a broad range of software applications in areas including games, graphics, web, desktop, engineering, artificial intelligence, GIS, and machine learning applications for a variety of industries as an R&D developer. At the turn of the millennium, Micheal began working with neural networks and evolutionary algorithms in game development. He was later introduced to Unity and has been an avid developer, consultant, manager, and author of multiple Unity games, graphic projects, and books ever since.

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