| Poster # | Paper # | Authors | Paper Title |
| 1 | 33 | Stephen Tu, Alexander Robey, Tingnan Zhang and Nikolai Matni | On the Sample Complexity of Stability Constrained Imitation Learning |
| 2 | 110 | Amir Khazraei, Henry Pfister and Miroslav Pajic | Resiliency of Perception-Based Controllers Against Attacks |
| 3 | 146 | Saber Jafarpour, Matthew Abate, Alexander Davydov, Francesco Bullo and Samuel Coogan | Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach |
| 4 | 7 | Steven Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca and Amanda Prorok | Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors |
| 5 | 6 | Anirudh Vemula, Wen Sun, Maxim Likhachev and J. Andrew Bagnell | On the Effectiveness of Iterative Learning Control |
| 6 | 4 | Ting-Han Fan, Xian Yeow Lee and Yubo Wang | PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems |
| 7 | 54 | Samuel Low | Optimizing Pointing Sequences with Resource Constraints in Large Satellite Formations using Reinforcement Learning |
| 8 | 141 | Daniel Gurevich, Debdipta Goswami, Charles L. Fefferman and Clarence W. Rowley | Optimal Control with Learning on the Fly: System with Unknown Drift |
| 9 | 170 | Thomas Lew, Lucas Janson, Riccardo Bonalli and Marco Pavone | A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis |
| 10 | 32 | Yuda Song, Yuan Ye, Wen Sun and Kris Kitani | Online No-regret Model-Based Meta RL for Personalized Navigation |
| 11 | 46 | Yansong Li and Shuo Han | Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization Perspective |
| 12 | 56 | Yifeng Jiang, Jiazheng Sun and C. Karen Liu | Data-Augmented Contact Model for Rigid Body Simulation |
| 13 | 160 | Muhammed Sayin and Kemal Cetiner | On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games |
| 14 | 147 | Julian Viereck, Avadesh Meduri and Ludovic Righetti | ValueNetQP: Learned one-step optimal control for legged locomotion |
| 15 | 117 | Ningyuan Zhang, Wenliang Liu and Calin Belta | Distributed Control using Reinforcement Learning with Temporal-Logic-Based Reward Shaping |
| 16 | 106 | Zhe Du, Necmiye Ozay and Laura Balzano | Clustering-based Mode Reduction for Markov Jump Systems |
| 17 | 87 | Saul Santos, Monica Ekal and Rodrigo Ventura | Symplectic Momentum Neural Networks – Using Discrete Variational Mechanics as a prior in Deep Learning |
| 18 | 88 | Charis Stamouli, Anastasios Tsiamis, Manfred Morari and George J. Pappas | Adaptive Stochastic MPC under Unknown Noise Distribution |
| 19 | 34 | Thinh Doan | Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max Problems |
| 20 | 113 | Tianhao Wei and Changliu Liu | Safe Control with Neural Network Dynamic Models |
| 21 | 148 | Yifei Zhang, Sourav Ukil, Ephraim Neimand, Serban Sabau and Myron Hohil | Sample Complexity of the Robust LQG Regulator with Coprime Factors Uncertainty |
| 22 | 108 | Marcos Vasconcelos | Learning distributed channel access policies for networked estimation: data-driven optimization in the mean-field regime |
| 23 | 73 | Vittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori and Vikash Kumar | MyoSuite: A contact-rich simulation suite for musculoskeletal motor control |
| 24 | 41 | Franck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot and Ufuk Topcu | Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling |
