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Deep Reinforcement Learning Hands-On

You're reading from   Deep Reinforcement Learning Hands-On Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781838826994
Length 826 pages
Edition 2nd Edition
Languages
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Author (1):
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Maxim Lapan Maxim Lapan
Author Profile Icon Maxim Lapan
Maxim Lapan
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Toc

Table of Contents (28) Chapters Close

Preface 1. What Is Reinforcement Learning? 2. OpenAI Gym FREE CHAPTER 3. Deep Learning with PyTorch 4. The Cross-Entropy Method 5. Tabular Learning and the Bellman Equation 6. Deep Q-Networks 7. Higher-Level RL Libraries 8. DQN Extensions 9. Ways to Speed up RL 10. Stocks Trading Using RL 11. Policy Gradients – an Alternative 12. The Actor-Critic Method 13. Asynchronous Advantage Actor-Critic 14. Training Chatbots with RL 15. The TextWorld Environment 16. Web Navigation 17. Continuous Action Space 18. RL in Robotics 19. Trust Regions – PPO, TRPO, ACKTR, and SAC 20. Black-Box Optimization in RL 21. Advanced Exploration 22. Beyond Model-Free – Imagination 23. AlphaGo Zero 24. RL in Discrete Optimization 25. Multi-agent RL 26. Other Books You May Enjoy
27. Index

Summary

Thanks for reaching the end! I hope you enjoyed reading this chapter as much as I enjoyed writing it. This field is very interesting; we have just touched on it a little, but I hope that this chapter will show you a direction for your own experiments and projects. The goal of the chapter wasn't building a robot that will stand, as this could be done in a much easier and more efficient way; the true goal was to show how the RL way of thinking can be applied to robotics problems, and how you can do your own experiments with real hardware without having access to expensive robotic arms, complex robots, and so on.

At the same time, I see some potential for the RL approach to be applied to complex robots, and who knows, maybe you will build the next version of iRobot Corporation to bring more robots into our lives. If you are interested in buying the kits for the robot platform described in this chapter, it would be really helpful if you could fill out this form: https:...

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