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