Workshop Program

Location

Sapphire 410B, Hilton San Diego Bayfront Hotel

Tentative Schedule

The workshop will be held on May 30, 2023. It includes 14 talks from invited speakers and panel discussions. All times are listed in Pacific Daylight Time (PDT), UTC -7:00.

Time	Title	Speaker	Affiliation
Session 1	Marrying Learning and Control Systems: Prior Physical Knowledge and Optimality
8:30am-9:00am	Optimal Control with Learning on The Fly: System with Unknown Drift	Debdipta Goswami	The Ohio State University
9:00am-9:30am	Incorporating Physics-Based Knowledge into Neural Ordinary Differential Equations for Dynamical Systems Modeling	Cyrus Neary	University of Texas at Austin
9:30am-10:00am	Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control?	Kaiqing Zhang	University of Maryland
10:00am-10:30am	Coffee Break
Session 2	Adavnces in Reinforcement Learning
10:30am-11:00am	Learning in Infinite Dimensional Spaces	Abhishek Gupta	The Ohio State University
11:00am-11:30am	Some Perspectives on the Scalability and Resiliency for Reinforcement Learning Control	Sayak Mukherjee	Pacific Northwest National Lab
11:30am-12:00pm	Model-free RL for Constrained Markov Decision Process: Foundations and Applications	Arnob Ghosh	The Ohio State University
12:00pm-1:00pm	Lunch Break
Session 3	Snapshot-based Model Identification and Reduction
1:00pm-1:30pm	A Robust Deep-Learning Approach for Koopman-Based Control	Bethany Lusch	Argonne National Lab
1:30pm-2:00pm	Learning Koopman Eigenfunctions and Invariant Subspaces from Data	Jorge Cortés	University of California, San Diego
2:00pm-2:30pm	Reduction for Nonlinear Systems by Balanced Truncation of State and Gradient Covariance*	Samuel E. Otto	University of Washington
2:30pm-3:00pm	Certified Data Driven Control	Mario Sznaier	Northeastern University
3:00pm-3:30pm	Coffee Break
Session 4	Application of Data-Driven Methods in Physical Systems
3:30pm-4:00pm	When to Stop Acquiring High-Fidelity Data: An On-the-Fly Approach	Indranil Nayak	The Ohio State University
4:00pm-4:30pm	Modeling Traffic Systems Using Data-Driven Dynamical Systems Perspective	Shakib Mustavee and Shaurya Agarwal	University of Central Florida
4:30pm-5:00pm	Predicting Human Intentions through Interaction using Online Learning	Ningshi Yao	George Mason University
5:00pm-5:30pm	Iterative Learning of Dynamics of Physical Systems from Partial State Information*	Sriram Narayanan	The Ohio State University

* The talk will be virtual.