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.

翻译：本文从迁移学习的视角对深度强化学习在过程控制中的应用进行了深入剖析。我们分析了在流程工业领域应用深度强化学习所面临的挑战，以及引入迁移学习的必要性。此外，本文还就迁移学习如何与深度强化学习相结合以赋能过程控制这一未来研究方向，提出了相关建议与展望。