aiBACKGROUND
A Deep Reinforcement Learning (DRL)-Based Transformer Method for Solving the Ope
BACKGROUND
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15 Jun
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7 Jul
A Sliding-Window-Based Reinforcement Learning for Dynamic Assembly Flow Shop Scheduling with Multi-Product Delivery
arXiv:2607.02941v1 Announce Type: new Abstract: Multi-product kitting delivery imposes significant challenges for real-time scheduling in hybrid manufacturing systems that
REPORT · WHAT · ArXiv CS.AIOPEN STORY
16 Oct
Deep Reinforcement Learning for HPC Job Scheduling: A Statistical Evaluation
arXiv:2610.21008v1 Announce Type: new Abstract: Deep Reinforcement Learning (DRL) offers learned job selection for High-Performance Computing (HPC), but performance against
REPORT · WHAT · ArXiv CS.AIOPEN STORY
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