Paper code DFJSP

[MagMueller]

I really like your work, and found your Paper An End-to-end Hierarchical Reinforcement Learning Framework for Large-scale Dynamic Flexible Job-shop Scheduling Problem, could you also provide the code for this interesting work?

[Lei-Kun]

You will see the source code soon. Thanks!

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发件人: Magnus Müller 发送时间: 2023年2月21日 22:50 收件人: leikun-starting/leikun-starting 抄送: Subscribed 主题: [leikun-starting/leikun-starting] Paper code DFJSP (Issue #1)

I really like your work, and found your Paper An End-to-end Hierarchical Reinforcement Learning Framework for Large-scale Dynamic Flexible Job-shop Scheduling Problem, could you also provide the code for this interesting work? — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you are subscribed to this thread.Message ID: @.***>

[MagMueller]

Perfect, thank you, I am really looking forward!

[cyq-wuhu]

Hello teacher, your Paper An End-to-end Hierarchical Reinforcement Learning Framework for Large-scale Dynamic Flexible Job-shop Scheduling Problem I have benefited a lot, but for some of the details are still not clear, I don't know if it is inconvenient for you to send a source code for me to refer to and learn, thank you very much, teacher!

[Cooperbalvin]

I hope this message finds you well. I recently came across your paper titled "An End-to-end Hierarchical Reinforcement Learning Framework for Large-scale Dynamic Flexible Job-shop Scheduling Problem" and found it incredibly insightful and relevant to my research interests.

I am particularly interested in the methodology and implementation details you described. Would it be possible for you to share the source code or any related materials that you used in your study? Having access to the code would greatly enhance my understanding and allow me to build upon your work in my own research.

Thank you very much for your time and consideration. I look forward to your response.