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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

Reinforcement learning and other approaches

There have been many approaches devised for solving the problem of real-time strategy gaming. One of the major approaches before reinforcement learning was online case-based planning. Online case-based planning involves real-time case-based reasoning. In a case-based reasoning, a set of methods are used to learn the plans. Online case-based planning implemented this property along with the implementation of plan acquisition and execution, and that too in real time.

Online case-based planning

Case-based reasoning consists of four steps:

  • Retrieve

  • Reuse

  • Revise

  • Retain

These steps are illustrated in the following image:

Case-based reasoning

In the retrieval step, a subset of...

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