Publications

Most papers are linked to arXiv or a DOI. If you can’t find one, feel free to get in touch. You can also find my articles on my Google Scholar profile.

  1. Journal Papers
    1. Meta-reinforcement learning for the tuning of PI controllers: An offline approach
      , , , , ,
      Journal of Process Control. 2022.
      [Link] [arXiv]
    2. Deep reinforcement learning with shallow controllers: An experimental application to PID tuning
      , , , , ,
      Control Engineering Practice. 2022.
      [Link] [arXiv]
    3. Toward self‐driving processes: A deep reinforcement learning approach to control
      , , , ,
      AIChE Journal. 2019.
      [Link] [arXiv]
  2. Conference Proceedings
    1. Meta-Reinforcement Learning for Adaptive Control of Second Order Systems
      , , , , ,
      AdCONIP. 2022.
      [Link] [arXiv]
    2. A Meta-Reinforcement Learning Approach to Process Control
      , , , , ,
      AdCHEM. 2021.
      [Link] [arXiv] | Keynote Paper
    3. Reinforcement Learning based Design of Linear Fixed Structure Controllers
      , , , , ,
      IFAC World Congress. 2020.
      [Link] [arXiv]
    4. Optimal PID and antiwindup control design as a reinforcement learning problem
      , , , , ,
      IFAC World Congress. 2020.
      [Link] [arXiv]
    5. Almost Surely Stable Deep Dynamics
      , , , ,
      NeurIPS. 2020.
      [Link] [arXiv] | NeurIPS Spotlight
    6. Modern machine learning tools for monitoring and control of industrial processes: A survey
      , , , , , , , ,
      IFAC World Congress. 2020.
      [Link] [arXiv]
  3. Theses
    1. Convex and Nonconvex Optimization Techniques for the Constrained Fermat-Torricelli Problem

      Portland State University. 2016.
      [Link]