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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

AlphaGo Zero


The first generation of AlphaGo was able to beat the professional Go players. In October 2017, Google DeepMind published the paper (https://www.nature.com/articles/nature24270) on AlphaGo Zero in Nature. AlphaGo Zero is the latest version of AlphaGo. Earlier versions of AlphaGo learnt to play the game after being trained on thousands of human games varying from amateur to professional games. But the final version of AlphaGo, that is AlphaGo Zero has learnt everything from scratch, that is from the first basic principle neither using any human data nor any human intervention and was able to achieve the highest level of performance. Thus, AlphaGo Zero learns to play the game of Go by playing against itself. One of the biggest feats was that in 19 hours AlphaGo Zero was able to learn the fundamentals of more advanced Go strategies, which include life and death, influence, and territory. In just three days AlphaGo Zero defeated all the previous versions of AlphaGo, and within 40...

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