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pro vyhledávání: '"Dainlin HUANG"'
Publikováno v:
IEEE Access, Vol 12, Pp 50935-50948 (2024)
In addressing the Flexible Job Shop Scheduling Problem (FJSP), deep reinforcement learning eliminates the need for mathematical modeling of the problem, requiring only interaction with the real environment to learn effective strategies. Using disjunc
Externí odkaz:
https://doaj.org/article/7fdc2daa9cc6486a861839326d7d260c