Program for Wednesday, Thursday, Friday
Conference proceedings are available online on PMLR: https://proceedings.mlr.press/v211/
Wednesday, June 14
Not on Youtube. The tutorials will take place in the Levine Hall (Wu and Chen Auditorium).
| Time | Location | |
|---|---|---|
| 08:30 – 09:00 | Levine Hall | Registration |
| 09:00 – 10:15 | Levine Hall | Tutorial 1: JAX 4 DC (Part 1) |
| 10:15 – 10:45 | Levine Hall | Coffee Break |
| 10:45 – 12:15 | Levine Hall | Tutorial 1: JAX 4 DC (Part 2) |
| 12:15 – 14:00 | Lunch break | |
| 14:00 – 15:30 | Levine Hall | Tutorial 2: Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies (Part 1) |
| 15:30 – 16:00 | Levine Hall | Coffee Break |
| 16:00 – 17:15 | Levine Hall | Tutorial 2: Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies (Part 2) |
Thursday, June 15
| Time | Location | |
|---|---|---|
| 08:15 – 08:45 | Irvine | Registration |
| 08:45 – 09:00 | Irvine | Organizers Welcome |
| 09:00 – 09:45 | Irvine | Keynote: Davide Scaramuzza, Human-Level Performance with Autonomous Vision-based Drones Chair: Nikolai Matni |
| 09:45 – 10:45 | Irvine | Oral Presentations 1 (4x 15min) Chair: Chuchu Fan 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 Yingying Li, James A Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S Shamma, Online switching control with stability and regret guarantees Alex Devonport, Peter Seiler, Murat Arcak, Frequency Domain Gaussian Process Models for Uncertainties Yi Tian, Kaiqing Zhang, Russ Tedrake, Suvrit Sra, Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? |
| 10:45 – 11:15 | Houston Hall | Coffee Break |
| 11:15 – 12:00 | Irvine | Keynote: Rose Yu, On the Interplay Between Deep Learning and Dynamical Systems Chair: Christine Allen Blanchette |
| 12:00 – 13:00 | Lunch Break | |
| 13:00 – 14:00 | Houston Hall | Poster Session 1 |
| 14:00 – 14:45 | Irvine | Keynote: Aaron Ames, Safety in Theory and Practice: Why Learning Needs Control Chair: Stephanie Gil |
| 14:45 – 15:45 | Irvine | Oral Presentations 2 (4x 15min) Chair: Lars Lindemann Sheng Cheng, Lin Song, Minkyung Kim, Shenlong Wang, Naira Hovakimyan, DiffTune+: Hyperparameter-Free Auto-Tuning using Auto-Differentiation Orhan Eren Akgun, Arif Kerem Dayi, Stephanie Gil, Angelia Nedich, Learning Trust Over Directed Graphs in Multiagent Systems Harrison Delecki, Anthony Corso, Mykel Kochenderfer, Model-based Validation as Probabilistic Inference Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali Jadbabaie, Model Predictive Control via On-Policy Imitation Learning |
| 15:45 – 16:00 | Irvine | Awards |
| 16:00 – 16:30 | Houston Hall | Coffee Break |
| 16:30 – 17:30 | Houston Hall | Poster Session 2 |
| 17:30 – 19:00 | Houston Hall | Reception (Bodek Lounge) |
Friday, June 16
| Time | Location | |
|---|---|---|
| 08:30 – 09:00 | Irvine | Registration |
| 09:00 – 09:45 | Irvine | Keynote: Vikas Sindhwani, Large Language Models with Eyes, Arms and Legs Chair: Sarah Dean |
| 09:45 – 10:45 | Irvine | Oral Presentations 3 (4x 15min) Chair: Yiannis Kantaros Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov, Policy Learning for Active Target Tracking over Continuous Trajectories 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 Aritra Mitra, Hamed Hassani, George J. Pappas Linear, Stochastic Bandits over a Bit-Constrained Channel Zifan Wang, Yulong Gao, Siyi Wang, Michael Zavlanos, Alessandro Abate, Karl Henrik Johansson, Policy Evaluation in Distributional LQR |
| 10:45 – 11:15 | Houston Hall | Coffee Break |
| 11:15 – 12:00 | Irvine | Keynote: Nadia Figueroa, Safety, Adaptation and Efficient Learning in Physical Human-Robot Interaction: A Dynamical Systems Approach Chair: Sam Coogan |
| 12:00 – 13:00 | Lunch Break | |
| 13:00 – 14:00 | Houston Hall | Poster Session 3 |
| 14:00 – 14:45 | Irvine | Keynote: Tamer Basar, Consensus and Dissensus in Multi-agent Dynamical Systems with Learning Chair: Nikolay Atanasov |
| 14:45 – 15:45 | Irvine | Oral Presentations 4 (4x 15min) Chair: Ingvar Ziemann Patricia Pauli, Dennis Gramlich, Frank Allgöwer, Lipschitz constant estimation for 1D convolutional neural networks Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio Pasqualetti, Learning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs Songyuan Zhang, Yumeng Xiu, Guannan Qu, Chuchu Fan, Compositional Neural Certificates for Networked Dynamical Systems 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 |
| 15:45 – 16:15 | Houston Hall | Coffee Break |
| 16:15 – 17:15 | Houston Hall | Poster Session 4 |