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Tentative Schedule


Wednesday, June 14


09:00-12:00 Tutorial 1: JAX


12:00 – 13:30 Lunch


13:30-16:30 Tutorial 2: Policy gradient methods in control


Thursday, June 15


08:15-08:45 Registration


08:45-09:00 Organizers Welcome


09:00-09:45 Plenary: Davide Scaramuzza


09:45-10:45 Oral Presentations 1 (4x 15min)

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 Coffee Break


11:15-12:00 Plenary: Rose Yu


12:00-13:00 Lunch Break


13:00-14:00 Poster Session 1


14:00-14:45 Plenary: Aaron Ames


14:45-15:45 Oral Presentations 2 (4x 15min)

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 Awards


16:00-16:30 Coffee Break


16:30-17:30 Poster Session 2


17:30-19:00 Reception


Friday, June 16


08:30-09:00 Registration


09:00-09:45 Plenary: Vikas Sindhwani


09:45-10:45 Oral Presentations 3 (4x 15min)

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 Coffee Break


11:15-12:00 Plenary: Nadia Figueroa


12:00-13:00 Lunch Break


13:00-14:00 Poster Session 3


14:00-14:45 Plenary: Tamer Basar


14:45-15:45 Oral Presentations 4 (4x 15min)

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 Coffee Break


16:15-17:15 Poster Session 4