Skip to content


Program for Wednesday, Thursday, Friday

Conference proceedings are available online on PMLR:

Wednesday, June 14

Not on Youtube. The tutorials will take place in the Levine Hall (Wu and Chen Auditorium).

08:30 – 09:00Levine HallRegistration
09:00 – 10:15Levine HallTutorial 1: JAX 4 DC (Part 1)
10:15 – 10:45Levine HallCoffee Break
10:45 – 12:15Levine HallTutorial 1: JAX 4 DC (Part 2)
12:15 – 14:00Lunch break
14:00 – 15:30Levine HallTutorial 2: Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies (Part 1)
15:30 – 16:00Levine HallCoffee Break
16:00 – 17:15Levine HallTutorial 2: Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies (Part 2)

Thursday, June 15

Youtube live stream

08:15 – 08:45IrvineRegistration
08:45 – 09:00IrvineOrganizers Welcome
09:00 – 09:45IrvineKeynote: Davide Scaramuzza, Human-Level Performance with Autonomous Vision-based Drones
Chair: Nikolai Matni
09:45 – 10:45IrvineOral 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 – 11:15Houston HallCoffee Break
11:15 – 12:00IrvineKeynote: Rose Yu, On the Interplay Between Deep Learning and Dynamical Systems
Chair: Christine Allen Blanchette
12:00 – 13:00Lunch Break
13:00 – 14:00Houston HallPoster Session 1
14:00 – 14:45IrvineKeynote: Aaron Ames, Safety in Theory and Practice: Why Learning Needs Control
Chair: Stephanie Gil
14:45 – 15:45IrvineOral 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 – 16:00IrvineAwards
16:00 – 16:30Houston HallCoffee Break
16:30 – 17:30Houston HallPoster Session 2
17:30 – 19:00Houston Hall Reception (Bodek Lounge)

Friday, June 16

Youtube live stream

08:30 – 09:00IrvineRegistration
09:00 – 09:45IrvineKeynote: Vikas Sindhwani, Large Language Models with Eyes, Arms and Legs
Chair: Sarah Dean
09:45 – 10:45IrvineOral 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 – 11:15Houston HallCoffee Break
11:15 – 12:00IrvineKeynote: Nadia Figueroa, Safety, Adaptation and Efficient Learning in Physical Human-Robot Interaction: A Dynamical Systems Approach
Chair: Sam Coogan
12:00 – 13:00Lunch Break
13:00 – 14:00Houston HallPoster Session 3
14:00 – 14:45IrvineKeynote: Tamer Basar, Consensus and Dissensus in Multi-agent Dynamical Systems with Learning
Chair: Nikolay Atanasov
14:45 – 15:45IrvineOral 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 HallCoffee Break
16:15 – 17:15Houston HallPoster Session 4