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Shuyuan Wang
Shuyuan Wang is a UBC DAIS Lab member.
📚 Program/Degree
PhD
| Started 2021
📝 Research
Intersection between reinforcement learning (RL) and control, making RL more efficient
🔗 Website
DAIS Lab Publications
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Conference Proceedings
A modular framework for stabilizing deep reinforcement learning control
In Proceedings of the 22nd IFAC World Congress. 2023 [PDF] [Slides] [Video] [arXiv] -
Conference Proceedings
Reinforcement Learning with Partial Parametric Model Knowledge
In Proceedings of the 22nd IFAC World Congress. 2023 [PDF] [Video] [arXiv] -
Conference Proceedings
Deep Hankel matrices with random elements
In Proceedings of the 6th Annual Learning for Dynamics & Control Conference (L4DC). 2024 [PDF] -
Journal Paper
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior
Automatica. 2024 [PDF] [arXiv]
DAIS Lab Member? Submit a pull request or join the @daisubc organization on GitHub to update your profile - Shuyuan Wang.md.