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Deep reinforcement learning methods for chemical process scheduling: current status and future prospects
更新时间：2026-05-11

    • Deep reinforcement learning methods for chemical process scheduling: current status and future prospects

    • Chemical Industry and Engineering Progress   (2026)

    • DOI：10.16085/j.issn.1000-6613.2026-0478    

      CLC： TQ015;TP18

    • Received：31 March 2026，

      Revised：2026-05-06，

      Accepted：09 May 2026，

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  • TAO Zhineng, QIU Tong, DONG Fenglian, et al. Deep reinforcement learning methods for chemical process scheduling: current status and future prospects[J/OL]. Chemical Industry and Engineering Progress, 2026. DOI： 10.16085/j.issn.1000-6613.2026-0478.

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