Joint training of multi-agent RL schedulers for jobs and AGVs outperforms modular training plus dispatching rules except in severe bottleneck environments where the coordination advantage shrinks.
Flexible job- shop scheduling with transportation resources
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An Analysis of the Coordination Gap between Joint and Modular Learning for Job Shop Scheduling with Transportation Resources
Joint training of multi-agent RL schedulers for jobs and AGVs outperforms modular training plus dispatching rules except in severe bottleneck environments where the coordination advantage shrinks.