Poster Session 1

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Poster Session 1 (June 15, Thursday, 13:00-14:00)

Click the headers to sort the table.

Poster #	Paper #	Authors	Paper title
1	77	SooJean Han, Soon-Jo Chung, Johanna Gustafson	Congestion Control of Vehicle Traffic Networks by Learning Structural and Temporal Patterns
2	72	Panagiotis Vlantis, Leila Bridgeman, Michael Zavlanos	Failing with Grace: Learning Neural Network Controllers that are Boundedly Unsafe
3	104	Muhammad Abdullah Naeem, Miroslav Pajic	Transportation-Inequalities, Lyapunov Stability and Sampling for Dynamical Systems on Continuous State Space
4	136	Zhuoyuan Wang, Yorie Nakahira	A Generalizable Physics-informed Learning Framework for Risk Probability Estimation
5	16	Yue Meng, Chuchu Fan	Hybrid Systems Neural Control with Region-of-Attraction Planner
6	171	Adithya Ramesh, Balaraman Ravindran	Physics-Informed Model-Based Reinforcement Learning
7	53	Kong Yao Chee, M. Ani Hsieh, Nikolai Matni	Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles
8	124	Paul Griffioen, Alex Devonport, Murat Arcak	Probabilistic Invariance for Gaussian Process State Space Models
9	7	Sourya Dey, Eric William Davis	DLKoopman: A deep learning software package for Koopman theory
10	15	Killian Reed Wood, Emiliano Dall’Anese	Online Saddle Point Tracking with Decision-Dependent Data
11	51	Yingying Li, James A Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S Shamma	Online switching control with stability and regret guarantees
12	115	Mingyu Cai, Calin Belta, Cristian Ioan Vasile, Erfan Aasi	Time-Incremental Learning of Temporal Logic Classifiers Using Decision Trees
13	18	Aritra Mitra, Hamed Hassani, George J. Pappas	Linear Stochastic Bandits over a Bit-Constrained Channel
14	8	Alireza Farahmandi, Brian Reitz, Mark Debord, Douglas Philbrick, Katia Estabridis, Gary Hewer	Hyperparameter Tuning of an Off-Policy Reinforcement Learning Algorithm for H∞ Tracking Control
15	150	Keyan Miao, Konstantinos Gatsis	Learning Robust State Observers using Neural ODEs
16	28	Patricia Pauli, Dennis Gramlich, Frank Allgöwer	Lipschitz constant estimation for 1D convolutional neural networks
17	148	Tejas Pagare, Konstantin Avrachenkov, Vivek Borkar	Full Gradient Deep Reinforcement Learning for Average-Reward Criterion
18	61	Alex Devonport, Peter Seiler, Murat Arcak	Frequency Domain Gaussian Process Models for H∞ Uncertainties
19	110	Srinath Tankasala, Mitch Pryor	Accelerating Trajectory Generation for Quadrotors Using Transformers
20	101	Cyrus Neary, Ufuk Topcu	Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks
21	158	Yaofeng Desmond Zhong, Jiequn Han, Biswadip Dey, Georgia Olympia Brikis	Improving Gradient Computation for Differentiable Physics Simulation with Contacts
22	126	Kaiyuan Tan, Jun Wang, Yiannis Kantaros	Targeted Adversarial Attacks against Neural Network Trajectory Predictors
23	149	Rajiv Sambharya, Georgina Hall, Brandon Amos, Bartolomeo Stellato	End-to-End Learning to Warm-Start for Real-Time Quadratic Optimization
24	125	Xiaobing Dai, Armin Lederer, Zewen Yang, Sandra Hirche	Gaussian Process-Based Event-Triggered Online Learning with Computational Delays for Control of Unknown Systems
25	66	Deepan Muthirayan, Chinmay Maheshwari, Pramod Khargonekar, Shankar Sastry	Competing Bandits in Time Varying Matching Markets
26	119	Spencer Hutchinson, Berkay Turan, Mahnoosh Alizadeh	The Impact of the Geometric Properties of the Constraint Set in Safe Optimization with Bandit Feedback
27	134	Wenqi Cui, Linbin Huang, Weiwei Yang, Baosen Zhang	Efficient Reinforcement Learning Through Trajectory Generation
28	106	Swaminathan Gurumurthy, J Zico Kolter, Zachary Manchester	Value-Gradient Updates Using Approximate Simulator Gradients to Speed Up Model-free Reinforcement Learning
29	163	Kai-Chieh Hsu, Duy Phuong Nguyen, Jaime Fernández Fisac	ISAACS: Iterative Soft Adversarial Actor-Critic for Safety
30	121	Sampada Deglurkar, Michael H Lim, Johnathan Tucker, Zachary N Sunberg, Aleksandra Faust, Claire Tomlin	Compositional Learning-based Planning for Vision POMDPs