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Oral Presentations Program

The oral presentations will take place in the Irvine Auditorium.

Oral Presentations 1 (June 15, Thursday, 9:45 – 10:45)

PaperAuthorsPaper Title
82Saminda 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
51Yingying Li, James A Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S ShammaOnline switching control with stability and regret guarantees
61Alex Devonport, Peter Seiler, Murat ArcakFrequency Domain Gaussian Process Models for
167Yi Tian, Kaiqing Zhang, Russ Tedrake, Suvrit SraCan Direct Latent Model Learning Solve Linear Quadratic Gaussian Control?

Oral Presentations 2 (June 15, Thursday, 14:45 – 15:45)

PaperAuthorsPaper Title
154Sheng Cheng, Lin Song, Minkyung Kim, Shenlong Wang, Naira HovakimyanDiffTune+: Hyperparameter-Free Auto-Tuning using Auto-Differentiation
157Orhan Eren Akgun, Arif Kerem Dayi, Stephanie Gil, Angelia NedichLearning Trust Over Directed Graphs in Multiagent Systems
86Harrison Delecki, Anthony Corso, Mykel KochenderferModel-based Validation as Probabilistic Inference
2Kwangjun Ahn, Zakaria Mhammedi, Horia Mania, Zhang-Wei Hong, Ali JadbabaieModel Predictive Control via On-Policy Imitation Learning

Oral Presentations 3 (June 16, Friday, 9:45 – 10:45)

PaperAuthorsPaper Title
166 Pengzhi Yang, Shumon Koga, Arash Asgharivaskasi, Nikolay AtanasovPolicy Learning for Active Target Tracking over Continuous
168Bilgehan 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
18Aritra Mitra, Hamed Hassani, George J. PappasLinear Stochastic Bandits over a Bit-Constrained Channel
38Zifan Wang, Yulong Gao, Siyi Wang, Michael Zavlanos, Alessandro Abate, Karl Henrik JohanssonPolicy Evaluation in Distributional LQR

Oral Presentations 4 (June 16, Friday, 14:45 – 15:45)

PaperAuthorsPaper Title
28 Patricia Pauli, Dennis Gramlich, Frank AllgöwerLipschitz constant estimation for 1D convolutional neural networks
173 Karthik Elamvazhuthi, Xuechen Zhang, Samet Oymak, Fabio PasqualettiLearning on Manifolds: Universal Approximations Properties using Geometric Controllability Conditions for Neural ODEs
145Songyuan Zhang, Yumeng Xiu, Guannan Qu, Chuchu FanCompositional Neural Certificates for Networked Dynamical Systems
144Fernando Castañeda, Haruki Nishimura, Rowan Thomas McAllister, Koushil Sreenath, Adrien GaidonIn-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States