
Grokking Deep Reinforcement Learning
$133.86
- Paperback
465 pages
- Release Date
1 January 2021
Summary
Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required.
Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You’ll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, a…
Book Details
| ISBN-13: | 9781617295454 |
|---|---|
| ISBN-10: | 1617295450 |
| Author: | Miguel Morales |
| Publisher: | Manning Publications |
| Imprint: | Manning Publications |
| Format: | Paperback |
| Number of Pages: | 465 |
| Release Date: | 1 January 2021 |
| Weight: | 834g |
| Dimensions: | 235mm x 187mm |
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About The Author
Miguel Morales
Miguel Morales is a Senior Software Engineer at Lockheed Martin, Missile and Fire Control-Autonomous Systems. He is also a faculty member at Georgia Institute of Technology where he works as an Instructional Associate for the Reinforcement Learning and Decision Making graduate course. Miguel has worked for numerous other educational and technology companies including Udacity, AT&T, Cisco, and HPE.
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