
Deep Reinforcement Learning
- Fundamentals, Research and Applications
- Herausgegeben:Dong, Hao; Ding, Zihan; Zhang, Shanghang
- Gebunden,
- Springer, Berlin
- (2020)
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Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance.
Divided into three main parts, this book provides a comprehensive and self-contained introduction to D ...
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DETAILS
- Deep Reinforcement Learning
- Fundamentals, Research and Applications
- Gebunden, xxvii, 514 S.
- XXVII, 514 p. 489 illus., 208 illus. in color.
- Sprache: Englisch
- 235 mm
- ISBN-13: 978-981-1540-94-3
- Titelnr.: 81981728
- Gewicht: 1020 g
- Springer, Berlin (2020)
Herstelleradresse
Springer Heidelberg
Tiergartenstr. 17
69121 - DE Heidelberg
E-Mail: buchhandel-buch@springer.com
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