| Reinforcement Learning: With Open Ai, Tensorflow and Keras Using Python Contributor(s): Nandy, Abhishek (Author), Biswas, Manisha (Author) |
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ISBN: 1484232844 ISBN-13: 9781484232842 Publisher: Apress OUR PRICE: $66.49 Product Type: Paperback - Other Formats Published: December 2017 |
| Additional Information |
| BISAC Categories: - Computers | Computer Science - Computers | Programming Languages - Python - Computers | Intelligence (ai) & Semantics |
| Dewey: 005.133 |
| Physical Information: 0.39" H x 6.14" W x 9.21" (0.59 lbs) 167 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. What You'll Learn
Who This Book Is For Data scientists, machine learning and deep learning professionals, developers who want to adapt and learn reinforcement learning. |
