An End-to-End Deep Reinforcement Learning Approach for Job Shop Scheduling.
Linlin ZhaoWeiming ShenChunjiang ZhangKunkun PengPublished in: CSCWD (2022)
Keyphrases
- end to end
- job shop scheduling
- reinforcement learning
- job shop scheduling problem
- scheduling problem
- wireless ad hoc networks
- combinatorial optimization problems
- ad hoc networks
- admission control
- congestion control
- resource constraints
- internet protocol
- tabu search
- optimal policy
- application layer
- response time
- computational intelligence
- text localization and recognition