An Analysis of the Coordination Gap between Joint and Modular Learning for Job Shop Scheduling with Transportation Resources
arXiv:2604.24117v1 Announce Type: new
Abstract: Efficient job-shop scheduling with transportation resources is critical for high-performance manufacturing. With the rise of “decentralized factories”, multi-agent reinforcement learning has emerged as a…