Application of multi-agent reinforcement learning for effective production scheduling in industry 4.0
In recent times, rapid progress can be seen in the field of artificial intelligence. These techniques have served many interesting applications from image and speech recognition to playing, and even beating humans in a game of Go. At the same time, there is a major shift in the manufacturing paradig...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/141677 |