Loughborough University
Browse

Multi-objective reinforcement learning for self-optimization of flow chemistry [Abstract]

conference contribution
posted on 2024-06-26, 14:06 authored by Ashish YewaleAshish Yewale, Yihui Yang, Neda Nazemifard, Charles D. Papageorgiou, Chris Rielly, Brahim BenyahiaBrahim Benyahia

Multi-objective reinforcement learning for self-optimization of flow chemistry [Abstract]

Funding

Control of a combined wet-milling crystallization process using reinforcement learning

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Chemical Engineering

Source

34th European Symposium on Computer Aided Process Engineering (ESCAPE34) and PSE 24

Publisher

AIDIC

Version

  • AM (Accepted Manuscript)

Publication date

2024-06-02

Publisher version

Language

  • en

Location

Florence, Italy

Event dates

2nd June 2024 - 6th June 2024

Depositor

Prof Brahim Benyahia. Deposit date: 17 June 2024

Usage metrics

    Loughborough Publications

    Categories

    No categories selected

    Keywords

    Reaction OptimizationMulti-objective Reinforcement LearningFlow ChemistryMulti-Objective Deep Deterministic Policy Gradient (MODDPG)

    Licence

    CC BY-NC-ND 4.0

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC