MARC状态：审校 文献类型：西文图书 浏览次数：65
- 题名/责任者:
- Reinforcement Learning : With Open AI, TensorFlow and Keras Using Python / by Abhishek Nandy, Manisha Biswas.
- 出版发行项:
- Berkeley, CA : Apress : Imprint: Apress, 2018.
- ISBN:
- 9781484232842
- 载体形态项:
- 167 p. : ill. ; 21 cm.
- 其他载体形态:
- Printed edition: 9781484232842.
- 个人责任者:
- Nandy, Abhishek.
- 附加个人名称:
- Biswas, Manisha.
- 论题主题:
- Computer science.
- 论题主题:
- Computers.
- 中图法分类号:
- TP3
- 书目附注:
- Includes bibliographical references and index.
- 内容附注:
- 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.
- 摘要附注:
- 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'l504l 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.
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