ReLA: Representation Learning and Aggregation for Job Scheduling with Reinforcement Learning

arXiv:2601.03646v1 Announce Type: new Abstract: Job scheduling is widely used in real-world manufacturing systems to assign ordered job operations to machines under various constraints. Existing solutions remain limited by long running time or insufficient schedule quality, especially when problem …