Simulator for comparing with results in paper 'An End-to-end Hierarchical Reinforcement Learning Framework for Large-scale Dynamic Flexible Job-shop Scheduling Problem'

Lei-Kun / Dispatching-rules-for-FJSP

This is the official code for the baseline methods of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

MIT License

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Simulator for comparing with results in paper 'An End-to-end Hierarchical Reinforcement Learning Framework for Large-scale Dynamic Flexible Job-shop Scheduling Problem' #4

Open dj-daz opened 1 year ago

dj-daz commented 1 year ago

Hi,

I found your following paper 'An End-to-end Hierarchical Reinforcement Learning Framework for Large-scale Dynamic Flexible Job-shop Scheduling Problem' very insightful, and am working in this area. I wonder if you have the code/seed values used for the simulator so I may compare with the values achieved in Tables II and III.

Thanks!