Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives
<|reference_start|>Facilitating Reinforcement Learning for Process Control Using Transfer Learning: Perspectives: This paper provides insights into deep reinforcement learning (DRL) for process control from the perspective of transfer learning. We analyze the challenges of applying DRL in the field of process industries and the necessity of introducing transfer learning. Furthermore, recommendations and prospects are provided for future research directions on how transfer learning can be integrated with DRL to empower process control.<|reference_end|>
@article{lin2024facilitating,
    title={Facilitating Reinforcement Learning for Process Control Using Transfer
  Learning: Perspectives},
    author={Runze Lin, Junghui Chen, Lei Xie, Hongye Su, Biao Huang},
    journal={arXiv preprint arXiv:2404.00247},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.00247},
    primaryClass={eess.SY cs.AI cs.LG cs.SY}
}