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Reinforcement Learning with TensorFlow

You're reading from Reinforcement Learning with TensorFlow

Product type Book

Published in Apr 2018

Publisher Packt

ISBN-13 9781788835725

Pages 334 pages

Edition 1st Edition

Languages

Concepts

Reinforcement Learning

Author (1):

Sayon Dutta

Table of Contents (21) Chapters

Title Page

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Contributors

Preface

1. Deep Learning – Architectures and Frameworks

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

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Index

Computational advertising challenges and bidding strategies

Advertising is a mode of conveying information. The core task of computational advertising is to find the best match between a given user in a given context and an advertisement, where the following factors apply:

Context/Auctioneer: A platform visited by a user and that is deemed fit for advertisements, for example:
- A user using a search engine. Therefore, sponsored advertisements in such a scenario form a good plan.
- A user reading a web page. Therefore, display advertisements fit such cases.
- A user watching any video (movie, clips, short videos, and so on). Therefore, short video advertisements are good.
Constraints: The biggest constraint of all for the advertiser is limited budget and limited time period.

The core challenges to meet regarding the preceding goals are as follows:

Designing markets and exchanges that can facilitate the task and maximize value for all the participating stake holders, which are users, advertisers, and...

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Authors (1)

Sayon Dutta

Sayon Dutta is an Artificial Intelligence researcher and developer. A graduate from IIT Kharagpur, he owns the software copyright for Mobile Irrigation Scheduler. At present, he is an AI engineer at Wissen Technology. He co-founded an AI startup Marax AI Inc., focused on AI-powered customer churn prediction. With over 2.5 years of experience in AI, he invests most of his time implementing AI research papers for industrial use cases, and weightlifting.

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