DAIS Lab Publications

1. Conference Proceedings
   A modular framework for stabilizing deep reinforcement learning control
   Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
   In Proceedings of the 22nd IFAC World Congress. 2023 [PDF] [Slides] [Video] [arXiv]
2. Conference Proceedings
   Reinforcement Learning with Partial Parametric Model Knowledge
   Shuyuan Wang, Philip D. Loewen, Nathan P. Lawrence, Michael G. Forbes, R. Bhushan Gopaluni
   In Proceedings of the 22nd IFAC World Congress. 2023 [PDF] [Video] [arXiv]
3. Conference Proceedings
   Deep Hankel matrices with random elements
   Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
   In Proceedings of the 6th Annual Learning for Dynamics & Control Conference (L4DC). 2024 [PDF]
4. Conference Proceedings
   Guiding Reinforcement Learning with Incomplete System Dynamics
   Shuyuan Wang, Jingliang Duan, Nathan P. Lawrence, Philip D. Loewen, Michael G. Forbes, R. Bhushan Gopaluni, Lixian Zhang
   In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024, To Appear). 2024 [PDF] [Video] [Presentation] [arXiv]
5. Conference Proceedings
   Empowering Neural Networks with Control and Planning Abilities
   Shuyuan Wang, Philip D Loewen, Bhushan Gopaluni, Michael Forbes
   In NeurIPS 2024 Workshop on Behavioral ML (non-archival). 2024 [PDF]
6. Journal Paper
   Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior
   Nathan P. Lawrence, Philip D. Loewen, Shuyuan Wang, Michael G. Forbes, R. Bhushan Gopaluni
   Automatica. 2024 [PDF] [arXiv]