most citedHybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism

19 citations · 19 across the 1 of their papers we have counts for

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1 paper

cs.AI2022★ 19 cited

Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism

Yunhui Zeng, Zijun Liao, Yuanzhi Dai +3

The dynamic job-shop scheduling problem (DJSP) is a class of scheduling tasks that specifically consider the inherent uncertainties such as changing order requirements and possible…