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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

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788835725
Length 334 pages
Edition 1st Edition
Languages
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Author (1):
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Sayon Dutta Sayon Dutta
Author Profile Icon Sayon Dutta
Sayon Dutta
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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

Robo Everything – Real Strategy Gaming

In recent times, the video gaming industry has grown at a tremendous rate. As per the 2017 year in review report by SuperData, the global gaming industry generated revenue of $108.4 billion. Newzoo, a global gaming market researcher forecast that the revenue of the video gaming industry will exceed $140 billion by 2020. 

Real-time strategy games form a sub-category of the strategy video game genre and is now gaining higher importance relative to turn-based strategy games. In this chapter, we will discuss why the AI community is behind solving real-time strategy games and how reinforcement learning is better at solve this problem statement compared to the other algorithms in terms of learning and performance.

We will cover the following topics in this chapter:

  • Real-time strategy games
  • Reinforcement learning and...
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