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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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 Dutta Dutta
Author Profile Icon Dutta
Dutta
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Toc

Table of Contents (21) Chapters Close

Title Page
Packt Upsell
Contributors
Preface
1. Deep Learning – Architectures and Frameworks FREE CHAPTER 2. Training Reinforcement Learning Agents Using OpenAI Gym 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 1. Further topics in Reinforcement Learning 2. Other Books You May Enjoy Index

Chapter 12. Deep Reinforcement Learning in Ad Tech

So far in this unit of discussing reinforcement learning application research domains, we saw how reinforcement learning is disrupting the field of robotics, autonomous driving, financial portfolio management, and solving games of extremely high complexity, such as Go. Another important domain which is likely to be disrupted by reinforcement learning is advertisement technology.

Before getting into the details of the problem statement and it's solution based on reinforcement learning, let's understand the challenges, business models, and bidding strategies involved, which will work as a basic prerequisite in understanding the problem that we will try to solve using a reinforcement learning framework. The topics that we will be covering in this chapter are as follows:

  • Computational advertising challenges and bidding strategies

  • Real-time bidding by reinforcement learning in display advertising

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