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Reinforcement Learning = With Open ...
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SpringerLink (Online service)
Reinforcement Learning = With Open AI, TensorFlow and Keras Using Python /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Reinforcement Learning / by Abhishek Nandy, Manisha Biswas.
其他題名:
With Open AI, TensorFlow and Keras Using Python /
作者:
Nandy, Abhishek.
其他作者:
Biswas, Manisha.
面頁冊數:
XIII, 167 p. 173 illus., 157 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Artificial intelligence. -
電子資源:
https://doi.org/10.1007/978-1-4842-3285-9
ISBN:
9781484232859
Reinforcement Learning = With Open AI, TensorFlow and Keras Using Python /
Nandy, Abhishek.
Reinforcement Learning
With Open AI, TensorFlow and Keras Using Python /[electronic resource] :by Abhishek Nandy, Manisha Biswas. - 1st ed. 2018. - XIII, 167 p. 173 illus., 157 illus. in color.online resource.
Chapter 1: Reinforcement Learning basics -- Chapter 2: Theory and Algorithms -- Chapter 3: Open AI basics -- Chapter 4: Getting to know Open AI and Open AI Gym the developers way -- Chapter 5: Reinforcement learning using Tensor Flow environment and Keras -- Chapter 6 Google’s DeepMind and the future of Reinforcement Learning.
Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. You’ll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process. Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov’s Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You’ll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There’s also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google’s Deep Mind and see scenarios where reinforcement learning can be used. You will: Absorb the core concepts of the reinforcement learning process Use advanced topics of deep learning and AI Work with Open AI Gym, Open AI, and Python Harness reinforcement learning with TensorFlow and Keras using Python.
ISBN: 9781484232859
Standard No.: 10.1007/978-1-4842-3285-9doiSubjects--Topical Terms:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
Reinforcement Learning = With Open AI, TensorFlow and Keras Using Python /
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Chapter 1: Reinforcement Learning basics -- Chapter 2: Theory and Algorithms -- Chapter 3: Open AI basics -- Chapter 4: Getting to know Open AI and Open AI Gym the developers way -- Chapter 5: Reinforcement learning using Tensor Flow environment and Keras -- Chapter 6 Google’s DeepMind and the future of Reinforcement Learning.
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