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.
- Journal Papers
- Meta-reinforcement learning for the tuning of PI controllers: An offline approach
Journal of Process Control. 2022.
[Link] [arXiv] - Deep reinforcement learning with shallow controllers: An experimental application to PID tuning
Control Engineering Practice. 2022.
[Link] [arXiv] - Toward self‐driving processes: A deep reinforcement learning approach to control
AIChE Journal. 2019.
[Link] [arXiv]
- Meta-reinforcement learning for the tuning of PI controllers: An offline approach
- Conference Proceedings
- Meta-Reinforcement Learning for Adaptive Control of Second Order Systems
AdCONIP. 2022.
[Link] [arXiv] - A Meta-Reinforcement Learning Approach to Process Control
AdCHEM. 2021.
[Link] [arXiv] | Keynote Paper - Reinforcement Learning based Design of Linear Fixed Structure Controllers
IFAC World Congress. 2020.
[Link] [arXiv] - Optimal PID and antiwindup control design as a reinforcement learning problem
IFAC World Congress. 2020.
[Link] [arXiv] - Almost Surely Stable Deep Dynamics
NeurIPS. 2020.
[Link] [arXiv] | NeurIPS Spotlight - Modern machine learning tools for monitoring and control of industrial processes: A survey
IFAC World Congress. 2020.
[Link] [arXiv]
- Meta-Reinforcement Learning for Adaptive Control of Second Order Systems
- Theses
- Convex and Nonconvex Optimization Techniques for the Constrained Fermat-Torricelli Problem
Portland State University. 2016.
[Link]
- Convex and Nonconvex Optimization Techniques for the Constrained Fermat-Torricelli Problem