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Keras Reinforcement Learning Projects

You're reading from   Keras Reinforcement Learning Projects 9 projects exploring popular reinforcement learning techniques to build self-learning agents

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781789342093
Length 288 pages
Edition 1st Edition
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Author (1):
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Giuseppe Ciaburro Giuseppe Ciaburro
Author Profile Icon Giuseppe Ciaburro
Giuseppe Ciaburro
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Table of Contents (13) Chapters Close

Preface 1. Overview of Keras Reinforcement Learning 2. Simulating Random Walks FREE CHAPTER 3. Optimal Portfolio Selection 4. Forecasting Stock Market Prices 5. Delivery Vehicle Routing Application 6. Continuous Balancing of a Rotating Mechanical System 7. Dynamic Modeling of a Segway as an Inverted Pendulum System 8. Robot Control System Using Deep Reinforcement Learning 9. Handwritten Digit Recognizer 10. Playing the Board Game Go 11. What's Next? 12. Other Books You May Enjoy

Robot Control System Using Deep Reinforcement Learning

Robots are now an integral part of our living environments. In the industrial field, they represent a valid aid to humankind by replacing people in alienating job. The task of a robot control system is to execute the planned sequence of movements and to identify an alternative path in the presence of obstacles. In this chapter, we address the problem of robot navigation in simple maze-like environments where the robot has to rely on its onboard sensors to perform navigation tasks.

The following topics are covered in this chapter:

  • Robot control overview
  • Environment to control robot mobility
  • Q-learning
  • Deep Q-learning

At the end of the chapter, the reader will learn the basis of robot control theory. Discover the evolution of robotics technology, different type of robots. Learn the basic concepts of control architectures....

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