Table of Contents

• Preface1-7 [doi]
• Automated Design of Grey-Box Recurrent Neural Networks For Fault Diagnosis using Structural Models and Causal InformationDaniel Jung 0002. 8-20 [doi]
• PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution SystemsTing-Han Fan, Xian Yeow Lee, Yubo Wang. 21-33 [doi]
• PRISM: Recurrent Neural Networks and Presolve Methods for Fast Mixed-integer Optimal ControlAbhishek Cauligi, Ankush Chakrabarty, Stefano Di Cairano, Rien Quirynen. 34-46 [doi]
• On the Effectiveness of Iterative Learning ControlAnirudh Vemula, Wen Sun 0002, Maxim Likhachev, J. Andrew Bagnell. 47-58 [doi]
• Modeling Partially Observable Systems using Graph-Based Memory and Topological PriorsSteven D. Morad, Stephan Liwicki, Ryan Kortvelesy, Roberto Mecca, Amanda Prorok. 59-73 [doi]
• Noise Handling in Data-driven Predictive Control: A Strategy Based on Dynamic Mode DecompositionAndrea Sassella, Valentina Breschi, Simone Formentin. 74-85 [doi]
• Learning-Enabled Robust Control with Noisy MeasurementsOlle Kjellqvist, Anders Rantzer. 86-96 [doi]
• Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement LearningHaitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen. 97-109 [doi]
• Experience Replay with Likelihood-free Importance WeightsSamarth Sinha, Jiaming Song, Animesh Garg, Stefano Ermon. 110-123 [doi]
• Tracking and Planning with Spatial World ModelsBaris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer. 124-137 [doi]
• OpReg-Boost: Learning to Accelerate Online Algorithms with Operator RegressionNicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese. 138-152 [doi]
• Learning-based Moving Horizon Estimation through Differentiable Convex Optimization LayersSimon Muntwiler, Kim Peter Wabersich, Melanie N. Zeilinger. 153-165 [doi]
• Online No-regret Model-Based Meta RL for Personalized NavigationYuda Song, Ye Yuan 0007, Wen Sun 0002, Kris Kitani. 166-179 [doi]
• On the Sample Complexity of Stability Constrained Imitation LearningStephen Tu, Alexander Robey, Tingnan Zhang, Nikolai Matni. 180-191 [doi]
• Convergence Rates of Two-Time-Scale Gradient Descent-Ascent Dynamics for Solving Nonconvex Min-Max ProblemsThinh Doan. 192-206 [doi]
• Certified Robustness via Locally Biased Randomized SmoothingBrendon G. Anderson, Somayeh Sojoudi. 207-220 [doi]
• Training Lipschitz Continuous Operators Using Reproducing KernelsHenk van Waarde, Rodolphe Sepulchre. 221-233 [doi]
• Data-Enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown FunctionsLiliaokeawawa Cothren, Gianluca Bianchin, Emiliano Dall'Anese. 234-247 [doi]
• i-SpaSP: Structured Neural Pruning via Sparse Signal RecoveryCameron R. Wolfe, Anastasios Kyrillidis. 248-262 [doi]
• Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems ModelingFranck Djeumou, Cyrus Neary, Eric Goubault, Sylvie Putot, Ufuk Topcu. 263-277 [doi]
• Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time GuaranteesSiliang Zeng, Tianyi Chen, Alfredo Garcia, Mingyi Hong. 278-290 [doi]
• Safe Reinforcement Learning with Chance-constrained Model Predictive ControlSamuel Pfrommer, Tanmay Gautam, Alec Zhou, Somayeh Sojoudi. 291-303 [doi]
• Accelerating Model-Free Policy Optimization Using Model-Based Gradient: A Composite Optimization PerspectiveYansong Li, Shuo Han. 304-315 [doi]
• Vision-based System Identification and 3D Keypoint Discovery using Dynamics ConstraintsMiguel Jaques, Martin Asenov, Michael Burke, Timothy M. Hospedales. 316-329 [doi]
• Learning POMDP Models with Similarity Space Regularization: a Linear Gaussian Case StudyYujie Yang, Jianyu Chen, Shengbo Li 0001. 330-341 [doi]
• Distributed Stochastic Nash Equilibrium Learning in Locally Coupled Network Games with Unknown ParametersYuanhanqing Huang, Jianghai Hu. 342-354 [doi]
• Optimal Pointing Sequences in Spacecraft Formation Flying Using Online Planning with Resource ConstraintsSamuel Low, Mykel J. Kochenderfer. 355-365 [doi]
• Traversing Time with Multi-Resolution Gaussian Process State-Space ModelsKrista Longi, Jakob Lindinger, Olaf Duennbier, Melih Kandemir, Arto Klami, Barbara Rakitsch. 366-377 [doi]
• Data-Augmented Contact Model for Rigid Body SimulationYifeng Jiang 0002, Jiazheng Sun, C. Karen Liu. 378-390 [doi]
• Gradient and Projection Free Distributed Online Min-Max Resource OptimizationJingrong Wang, Ben Liang. 391-403 [doi]
• Online Estimation and Control with Optimal Pathlength RegretGautam Goel, Babak Hassibi. 404-414 [doi]
• Mixtures of Controlled Gaussian Processes for Dynamical Modeling of Deformable ObjectsCe Xu Zheng, Adrià Colomé, Luis Sentis, Carme Torras. 415-426 [doi]
• Learning Linear Models Using Distributed Iterative Hessian SketchingHan Wang, James Anderson 0001. 427-440 [doi]
• Data-Driven Safety Verification of Stochastic Systems via Barrier Certificates: A Wait-and-Judge ApproachAli Salamati, Majid Zamani. 441-452 [doi]
• Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side InformationFranck Djeumou, Ufuk Topcu. 453-466 [doi]
• Data-driven Control of Unknown Linear Systems via Quantized FeedbackFeiran Zhao, Xingchen Li, Keyou You. 467-479 [doi]
• Adaptive Model Predictive Control by Learning ClassifiersRel Guzman Apaza, Rafael Oliveira 0001, Fabio Ramos. 480-491 [doi]
• MyoSuite: A Contact-rich Simulation Suite for Musculoskeletal Motor ControlVittorio Caggiano, Huawei Wang, Guillaume Durandau, Massimo Sartori, Vikash Kumar. 492-507 [doi]
• Diffeomorphic Transforms for Generalised Imitation LearningWeiming Zhi, Tin Lai, Lionel Ott, Fabio Ramos. 508-519 [doi]
• Total Energy Shaping with Neural Interconnection and Damping Assignment - Passivity Based ControlSantiago Sanchez-Escalonilla Plaza, Rodolfo Reyes-Báez, Bayu Jayawardhana. 520-531 [doi]
• Adversarially Robust Stability Certificates can be Sample-EfficientThomas T. C. K. Zhang, Stephen Tu, Nicholas M. Boffi, Jean-Jacques E. Slotine, Nikolai Matni. 532-545 [doi]
• Dynamic Learning of Correlation Potentials for a Time-Dependent Kohn-Sham SystemHarish S. Bhat, Kevin Collins, Prachi Gupta, Christine M. Isborn. 546-558 [doi]
• Reinforcement Learning with Almost Sure ConstraintsAgustin Castellano, Hancheng Min, Enrique Mallada, Juan-Andrés Bazerque. 559-570 [doi]
• Distributed Neural Network Control with Dependability Guarantees: a Compositional Port-Hamiltonian ApproachLuca Furieri, Clara Lucía Galimberti, Muhammad Zakwan, Giancarlo Ferrari-Trecate. 571-583 [doi]
• Symplectic Momentum Neural Networks - Using Discrete Variational Mechanics as a prior in Deep LearningSaul Santos, Monica Ekal, Rodrigo M. M. Ventura. 584-595 [doi]
• Adaptive Stochastic MPC under Unknown Noise DistributionCharis J. Stamouli, Anastasios Tsiamis, Manfred Morari, George J. Pappas. 596-607 [doi]
• Block Contextual MDPs for Continual LearningShagun Sodhani, Franziska Meier, Joelle Pineau, Amy Zhang 0001. 608-623 [doi]
• Formal Synthesis of Safety Controllers for Unknown Stochastic Control Systems using Gaussian Process LearningRameez Wajid, Asad Ullah Awan, Majid Zamani. 624-636 [doi]
• Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual InformationNima Eshraghi, Ben Liang. 637-649 [doi]
• Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative NoiseBenjamin Gravell, Iman Shames, Tyler H. Summers. 650-662 [doi]
• Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of CircuitsAlan Yang, Jie Xiong, Maxim Raginsky, Elyse Rosenbaum. 663-675 [doi]
• Sample-based Distributional Policy GradientRahul Singh, Keuntaek Lee, Yongxin Chen. 676-688 [doi]
• Clustering-based Mode Reduction for Markov Jump SystemsZhe Du, Necmiye Ozay, Laura Balzano. 689-701 [doi]
• Learning Distributed Channel Access Policies for Networked Estimation: Data-driven Optimization in the Mean-field RegimeMarcos M. Vasconcelos. 702-712 [doi]
• Resiliency of Perception-Based Controllers Against AttacksAmir Khazraei, Henry Pfister, Miroslav Pajic. 713-725 [doi]
• Safe Control with Minimal RegretAndrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate. 726-738 [doi]
• Safe Control with Neural Network Dynamic ModelsTianhao Wei, Changliu Liu. 739-750 [doi]
• Distributed Control using Reinforcement Learning with Temporal-Logic-Based Reward ShapingNingyuan Zhang, Wenliang Liu, Calin Belta. 751-762 [doi]
• Data-Driven Controller Synthesis of Unknown Nonlinear Polynomial Systems via Control Barrier CertificatesAmeneh Nejati, Bingzhuo Zhong, Marco Caccamo, Majid Zamani. 763-776 [doi]
• Neural Point Process for Learning Spatiotemporal Event DynamicsZihao Zhou, Xingyi Yang, Ryan A. Rossi, Handong Zhao, Rose Yu. 777-789 [doi]
• Data-Driven Chance Constrained Control using Kernel Distribution EmbeddingsAdam J. Thorpe, Thomas Lew, Meeko Oishi, Marco Pavone. 790-802 [doi]
• Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton SolversSamuel Chevalier, Jochen Stiasny, Spyros Chatzivasileiadis. 803-816 [doi]
• Bounding the Difference Between Model Predictive Control and Neural NetworksRoss Drummond, Stephen Duncan, Mathew Turner, Patricia Pauli, Frank Allgöwer. 817-829 [doi]
• A Piecewise Learning Framework for Control of Unknown Nonlinear Systems with Stability GuaranteesMilad Farsi, Yinan Li 0001, Ye Yuan, Jun Liu 0015. 830-843 [doi]
• Adversarially Regularized Policy Learning Guided by Trajectory OptimizationZhigen Zhao, Simiao Zuo, Tuo Zhao, Ye Zhao 0002. 844-857 [doi]
• Time Varying Regression with Hidden Linear DynamicsHoria Mania, Ali Jadbabaie, Devavrat Shah, Suvrit Sra. 858-869 [doi]
• Optimal Control with Learning on the Fly: System with Unknown DriftDaniel Gurevich, Debdipta Goswami, Charles L. Fefferman, Clarence W. Rowley. 870-880 [doi]
• Barrier Bayesian Linear Regression: Online Learning of Control Barrier Conditions for Safety-Critical Control of Uncertain SystemsLukas Brunke, Siqi Zhou, Angela P. Schoellig. 881-892 [doi]
• Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?Yuchen Cui, Scott Niekum, Abhinav Gupta, Vikash Kumar, Aravind Rajeswaran. 893-905 [doi]
• Learning Reversible Symplectic DynamicsRiccardo Valperga, Kevin Webster, Dmitry Turaev, Victoria Klein, Jeroen Lamb. 906-916 [doi]
• Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive ApproachSaber Jafarpour, Matthew Abate, Alexander Davydov 0001, Francesco Bullo, Samuel Coogan 0001. 917-930 [doi]
• ValueNetQP: Learned One-step Optimal Control for Legged LocomotionJulian Viereck, Avadesh Meduri, Ludovic Righetti. 931-942 [doi]
• Sample Complexity of the Robust LQG Regulator with Coprime Factors UncertaintyYifei Zhang, Sourav Kumar Ukil, Ephraim Neimand, Serban Sabau, Myron E. Hohil. 943-953 [doi]
• Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control TasksRyan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus. 954-967 [doi]
• Learning Spatio-Temporal Specifications for Dynamical SystemsSuhail Alsalehi, Erfan Aasi, Ron Weiss, Calin Belta. 968-980 [doi]
• Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian DynamicsZhichao Li, Thai P. Duong, Nikolay Atanasov. 981-993 [doi]
• On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic GamesMuhammed O. Sayin, K. Alperen Cetiner. 994-1005 [doi]
• Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction ModelsJose Luis Vazquez Espinoza, Alexander Liniger, Wilko Schwarting, Daniela Rus, Luc Van Gool. 1006-1019 [doi]
• Safety-Aware Preference-Based Learning for Safety-Critical ControlRyan K. Cosner, Maegan Tucker, Andrew J. Taylor, Kejun Li, Tamás G. Molnár, Wyatt Ubellacker, Anil Alan, Gábor Orosz, Yisong Yue, Aaron D. Ames. 1020-1033 [doi]
• Convergence and Stability of the Stochastic Proximal Point Algorithm with MomentumJunhyung Lyle Kim, Panos Toulis, Anastasios Kyrillidis. 1034-1047 [doi]
• Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based ControlFrancesco De Lellis, Marco Coraggio, Giovanni Russo 0002, Mirco Musolesi, Mario di Bernardo. 1048-1059 [doi]
• Neural Gaits: Learning Bipedal Locomotion via Control Barrier Functions and Zero Dynamics PoliciesIvan Dario Jimenez Rodriguez, Noel Csomay-Shanklin, Yisong Yue, Aaron D. Ames. 1060-1072 [doi]
• Robust Graph Neural Networks via Probabilistic Lipschitz ConstraintsRaghu Arghal, Eric Lei, Shirin Saeedi Bidokhti. 1073-1085 [doi]
• A Simple and Efficient Sampling-based Algorithm for General Reachability AnalysisThomas Lew, Lucas Janson, Riccardo Bonalli, Marco Pavone. 1086-1099 [doi]
• Sliding-Seeking Control: Model-Free Optimization with Safety ConstraintsFelipe Galarza-Jimenez, Jorge Poveda, Emiliano Dall'Anese. 1100-1111 [doi]
• Generalization Bounded Implicit Learning of Nearly Discontinuous FunctionsBibit Bianchini, Mathew Halm, Nikolai Matni, Michael Posa. 1112-1124 [doi]
• Adaptive Variants of Optimal Feedback PoliciesBrett Thomas Lopez, Jean-Jacques E. Slotine. 1125-1136 [doi]
• Learning Linear Complementarity SystemsWanxin Jin, Alp Aydinoglu, Mathew Halm, Michael Posa. 1137-1149 [doi]
• Structure-Preserving Learning Using Gaussian Processes and Variational IntegratorsJan Brüdigam, Martin Schuck, Alexandre Capone, Stefan Sosnowski, Sandra Hirche. 1150-1162 [doi]
• Robust Online Control with Model MisspecificationUdaya Ghai, Xinyi Chen, Elad Hazan, Alexandre Megretski. 1163-1175 [doi]