The oral presentations will take place in the Irvine Auditorium.
Oral Presentations 1 (June 15, Thursday, 9:45 – 10:45)
| Paper | Authors | Paper Title |
| 82 | Saminda Wishwajith Abeyruwan, Alex Bewley, Nicholas Matthew Boffi, Krzysztof Marcin Choromanski, David B D’Ambrosio, Deepali Jain, Pannag R Sanketi, Anish Shankar, Vikas Sindhwani, Sumeet Singh, Jean-Jacques Slotine, Stephen Tu | Agile Catching with Whole-Body MPC and Blackbox Policy Learning |
| 51 | Yingying Li, James A Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S Shamma | Online switching control with stability and regret guarantees |
| 61 | Alex Devonport, Peter Seiler, Murat Arcak | Frequency Domain Gaussian Process Models for Uncertainties |
| 167 | Yi Tian, Kaiqing Zhang, Russ Tedrake, Suvrit Sra | Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? |
Oral Presentations 2 (June 15, Thursday, 14:45 – 15:45)
| Paper | Authors | Paper Title |
| 154 | Sheng Cheng, Lin Song, Minkyung Kim, Shenlong Wang, Naira Hovakimyan | DiffTune+: Hyperparameter-Free Auto-Tuning using Auto-Differentiation |
| 157 | Orhan Eren Akgun, Arif Kerem Dayi, Stephanie Gil, Angelia Nedich | Learning Trust Over Directed Graphs in Multiagent Systems |
| 86 | Harrison Delecki, Anthony Corso, Mykel Kochenderfer | Model-based Validation as Probabilistic Inference |
| 2 | Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie | Model Predictive Control via On-Policy Imitation Learning |
Oral Presentations 3 (June 16, Friday, 9:45 – 10:45)
| Paper | Authors | Paper Title |
| 166 | Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov | Policy Learning for Active Target Tracking over Continuous Trajectories |
| 168 | Bilgehan Sel, Ahmad Tawaha, Yuhao Ding, Ruoxi Jia, Bo Ji, Javad Lavaei, Ming Jin | Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold |
| 18 | Aritra Mitra, Hamed Hassani, George J. Pappas | Linear Stochastic Bandits over a Bit-Constrained Channel |
| 38 | Zifan Wang, Yulong Gao, Siyi Wang, Michael Zavlanos, Alessandro Abate, Karl Henrik Johansson | Policy Evaluation in Distributional LQR |
Oral Presentations 4 (June 16, Friday, 14:45 – 15:45)
| Paper | Authors | Paper Title |
| 28 | Patricia Pauli, Dennis Gramlich, Frank Allgöwer | Lipschitz constant estimation for 1D convolutional neural networks |
| 173 | Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti | Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs |
| 145 | Songyuan Zhang, Yumeng Xiu, Guannan Qu, Chuchu Fan | Compositional Neural Certificates for Networked Dynamical Systems |
| 144 | Fernando Castañeda, Haruki Nishimura, Rowan Thomas McAllister, Koushil Sreenath, Adrien Gaidon | In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States |