Deep reinforcement learning fundamentals, research and applications /
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...
| Other Authors: | Dong, Hao,, Ding, Zihan,, Zhang, Shanghang,, SpringerLink (Online Service) |
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| Format: | eBook |
| Language: | English Chinese |
| Published: |
Singapore :
Springer,
2020.
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| Physical Description: |
1 online resource (xxvii, 514 pages) |
| Subjects: |
CMU Electronic Access
Electronic Resource Click Here| Location | Call Number: | Status |
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| CMU Electronic Access | Available |