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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

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 cases that are relevant to the problem are selected from the case base. In the reuse step, the solution as per the cases selected is adapted. Then, in the revision step, the adapted solution is verified through testing it in a real-world environment and observes a feedback quantifying the...

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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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