Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Reinforcement Learning with TensorFlow

You're reading from   Reinforcement Learning with TensorFlow A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym

Arrow left icon
Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788835725
Length 334 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Sayon Dutta Sayon Dutta
Author Profile Icon Sayon Dutta
Sayon Dutta
Arrow right icon
View More author details
Toc

Table of Contents (17) Chapters Close

Preface 1. Deep Learning – Architectures and Frameworks 2. Training Reinforcement Learning Agents Using OpenAI Gym FREE CHAPTER 3. Markov Decision Process 4. Policy Gradients 5. Q-Learning and Deep Q-Networks 6. Asynchronous Methods 7. Robo Everything – Real Strategy Gaming 8. AlphaGo – Reinforcement Learning at Its Best 9. Reinforcement Learning in Autonomous Driving 10. Financial Portfolio Management 11. Reinforcement Learning in Robotics 12. Deep Reinforcement Learning in Ad Tech 13. Reinforcement Learning in Image Processing 14. Deep Reinforcement Learning in NLP 15. Further topics in Reinforcement Learning 16. Other Books You May Enjoy

Real-time strategy games


The term real-time strategy (RTS) was first used by Brett Sperry as a tagline to market their game Dune II. Real-time strategy games involve the player using real-time tactics to increase assets, and save them, and utilizing them to destroy the assets of the opponent. It is associated with the many complex tactical decisions that need to be taken in a very short period of time. 

This is different from turn-based strategy games, where each opponent has time to analyze and take action while other opponents couldn't perform any actions. In real-time strategy games, the action and reaction both take place in real time, since the other entities in the environment, that is, opponents, are also active and will be performing actions simultaneously. In a real strategy game environment, there are varied forms of entities, which include players, structures, and their varied high dimensional features. Thus, the goal would be to take the optimal actions to survive in the gaming...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime