Table of Contents

• State space models, emergence, and ergodicity: How many parameters are needed for stable predictions?Ingvar M. Ziemann, Nikolai Matni, George J. Pappas. 1-11 [doi]
• Multi-agent Stochastic Bandits Robust to Adversarial CorruptionsFatemeh Ghaffari, Xuchuang Wang, Jinhang Zuo, Mohammad Hajiesmaili. 12-25 [doi]
• A Short Information-Theoretic Analysis of Linear Auto-Regressive LearningIngvar M. Ziemann. 26-30 [doi]
• Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement LearningBatuhan Yardim, Niao He. 31-44 [doi]
• DiffuSolve: Diffusion-based Solver for Non-convex Trajectory OptimizationAnjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson. 45-58 [doi]
• DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous RacingJingyun Ning, Madhur Behl. 59-71 [doi]
• Asymptotics of Linear Regression with Linearly Dependent DataBehrad Moniri, Hamed Hassani. 72-85 [doi]
• Learning Temporal Logic Predicates from Data with Statistical GuaranteesEmi Soroka, Rohan Sinha, Sanjay Lall. 86-98 [doi]
• Interacting Particle Systems for Fast Linear Quadratic RLAnant A. Joshi, Heng-Sheng Chang, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn. 99-111 [doi]
• Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive ControlHansung Kim, Edward L. Zhu, Chang Seok Lim, Francesco Borrelli. 112-123 [doi]
• The Complexity of Sequential Prediction in Dynamical SystemsVinod Raman, Unique Subedi, Ambuj Tewari. 124-138 [doi]
• Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged RobotsFeihan Li, Abulikemu Abuduweili, Yifan Sun 0011, Rui Chen 0030, Weiye Zhao, Changliu Liu. 136-148 [doi]
• Scalable Natural Policy Gradient for General-Sum Linear Quadratic Games with Known ParametersMostafa M. Shibl, Wesley Suttle, Vijay Gupta 0001. 139-152 [doi]
• Learning for Layered Safety-Critical Control with Predictive Control Barrier FunctionsWilliam D. Compton, Max H. Cohen, Aaron D. Ames. 153-165 [doi]
• Orthogonal projection-based regularization for efficient model augmentationBendegúz M. Györök, Jan H. Hoekstra, Johan Kon, Tamas Peni, Maarten Schoukens, Roland Tóth. 166-178 [doi]
• Controlling Participation in Federated Learning with FeedbackMichael Cummins, Guner Dilsad Er, Michael Muehlebach. 174-186 [doi]
• Neural Operators for Predictor Feedback Control of Nonlinear Delay SystemsLuke Bhan, Peijia Qin, Miroslav Krstic, Yuanyuan Shi. 179-193 [doi]
• Safe, Out-of-Distribution-Adaptive MPC with Conformalized Neural Network EnsemblesJose Leopoldo Contreras, Ola Shorinwa, Mac Schwager. 194-207 [doi]
• Formation Shape Control using the Gromov-Wasserstein MetricHaruto Nakashima, Siddhartha Ganguly, Kohei Morimoto, Kenji Kashima. 208-220 [doi]
• Anytime Safe Reinforcement LearningPol Mestres, Arnau Marzabal, Jorge Cortés 0001. 221-232 [doi]
• A Pontryagin Perspective on Reinforcement LearningOnno Eberhard, Claire Vernade, Michael Muehlebach. 233-244 [doi]
• Safe Decision Transformer with Learning-based ConstraintsRuhan Wang, Dongruo Zhou. 245-258 [doi]
• Rates for Offline Reinforcement Learning with Adaptively Collected DataSunil Madhow, Dan Qiao, Ming Yin, Yu-Xiang Wang. 259-271 [doi]
• Automating the loop in traffic incident management on highwayMatteo Cercola, Nicola Gatti 0001, Pedro Huertas-Leyva, Benedetto Carambia, Simone Formentin. 272-284 [doi]
• Learn With Imagination: Safe Set Guided State-wise Constrained Policy OptimizationYifan Sun 0011, Feihan Li, Weiye Zhao, Rui Chen 0030, Tianhao Wei, Changliu Liu. 298-309 [doi]
• Action-Conditioned Hamiltonian Generative Networks (AC-HGN) for Supervised and Reinforcement LearningArne Troch, Kevin Mets, Siegfried Mercelis. 310-322 [doi]
• Informative Input Design for Dynamic Mode DecompositionJoshua Ott, Mykel J. Kochenderfer, Stephen Boyd. 336-349 [doi]
• Physics-Enforced Reservoir Computing for Forecasting Spatiotemporal SystemsDima Tretiak, Anastasia Bizyaeva, J. Nathan Kutz, Steven L. Brunton. 350-364 [doi]
• Linear Supervision for Nonlinear, High-Dimensional Neural Control and Differential GamesWill Sharpless, Zeyuan Feng, Somil Bansal, Sylvia L. Herbert. 365-377 [doi]
• Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O(\sqrt{T})$ RegretYeoneung Kim, Gihun Kim, Jiwhan Park, Insoon Yang. 378-391 [doi]
• Extended Convex Lifting for Policy Optimization of Optimal and Robust ControlYang Zheng 0001, Chih-Fan Pai, Yujie Tang 0002. 392-404 [doi]
• TamedPUMA: safe and stable imitation learning with geometric fabricsSaray Bakker, Rodrigo Pérez-Dattari, Cosimo Della Santina, Wendelin Böhmer, Javier Alonso-Mora. 405-418 [doi]
• Data-Driven Near-Optimal Control of Nonlinear Systems Over Finite HorizonVasanth Reddy Baddam, Hoda Eldardiry, Almuatazbellah Boker. 419-430 [doi]
• Learning Feasible Transitions for Efficient Contact PlanningRikhat Akizhanov, Victor Dhédin, Majid Khadiv, Ivan Laptev. 431-442 [doi]
• Learning Kolmogorov-Arnold Neural Activation Functions by Infinite-Dimensional OptimizationLeon Khalyavin, Alessio Moreschini, Thomas Parisini. 443-455 [doi]
• Data-Driven and Stealthy Deactivation of Safety FiltersDaniel Arnström, André M. H. Teixeira. 456-468 [doi]
• Conditional Kernel Imitation Learning for Continuous State EnvironmentsRishabh Agrawal, Nathan Dahlin, Rahul Jain 0002, Ashutosh Nayyar. 469-483 [doi]
• Flow matching for stochastic linear control systemsYuhang Mei, Mohammad Al-Jarrah, Amirhossein Taghvaei, Yongxin Chen. 484-496 [doi]
• HydroGym: A Reinforcement Learning Platform for Fluid DynamicsChristian Lagemann, Ludger Paehler, Jared Callaham, Sajeda Mokbel, Samuel Ahnert, Kai Lagemann, Esther Lagemann, Nikolaus A. Adams, Steven L. Brunton. 497-512 [doi]
• Safe PDE Boundary Control with Neural OperatorsHanjiang Hu, Changliu Liu. 513-526 [doi]
• Fast and Reliable N - k Contingency Screening with Input-Convex Neural NetworksNicolas Christianson, Wenqi Cui, Steven H. Low, Weiwei Yang, Baosen Zhang. 527-539 [doi]
• Outlier-Robust Linear System Identification Under Heavy-Tailed NoiseVinay Kanakeri, Aritra Mitra. 540-551 [doi]
• Logarithmic Regret for Nonlinear ControlJames Wang, Bruce D. Lee, Ingvar M. Ziemann, Nikolai Matni. 552-565 [doi]
• Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed RewardsAhmad Ahmad, Mehdi Kermanshah, Kevin Leahy 0001, Zachary Serlin, Ho Chit Siu, Makai Mann, Cristian Ioan Vasile, Roberto Tron, Calin Belta. 566-578 [doi]
• Linear System Identification from Snapshot Data by Schrodinger bridgeKohei Morimoto, Kenji Kashima. 579-590 [doi]
• Scalability Enhancement and Data-Heterogeneity Awareness in Gradient Tracking based Decentralized Bayesian LearningKinjal Bhar, He Bai 0001, Jemin George, Carl E. Busart. 591-605 [doi]
• Sensor Scheduling in Intrusion Detection Games with Uncertain PayoffsJayanth Bhargav, Shreyas Sundaram, Mahsa Ghasemi. 606-618 [doi]
• Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data CoverageKishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh. 619-634 [doi]
• Stochastic Real-Time Deception in Nash Equilibrium Seeking for Games with Quadratic PayoffsMichael Tang, Miroslav Krstic, Jorge Poveda. 635-646 [doi]
• Responding to Promises: No-regret learning against followers with memoryVijeth Hebbar, Cedric Langbort. 647-659 [doi]
• Adaptive Control of Positive Systems with Application to Learning SSPFethi Bencherki, Anders Rantzer. 660-672 [doi]
• DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable OptimizationMichael Cummins, Alberto Padoan, Keith Moffat, Florian Dörfler, John Lygeros. 673-685 [doi]
• A Dynamic Safety Shield for Safe and Efficient Reinforcement Learning of Navigation TasksMurad Dawood, Ahmed Shokry, Maren Bennewitz. 686-697 [doi]
• Multi-Constraint Safe Reinforcement Learning via Closed-form Solution for Log-Sum-Exp Approximation of Control Barrier FunctionsChenggang Wang, Xinyi Wang, Yutong Dong, Lei Song, Xinping Guan. 698-710 [doi]
• Analytical Integral Global OptimizationSébastien Labbé 0001, Andrea Del Prete. 711-722 [doi]
• Efficient Duple Perturbation Robustness in Low-rank MDPsYang Hu, Haitong Ma, Na Li, Bo Dai 0001. 723-737 [doi]
• Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-SwitchingXiaoshan Lin, Sadik Bera Yüksel, Yasin Yazicioglu, Derya Aksaray. 738-749 [doi]
• Robust Inverse Reinforcement Learning Control with Unknown StatesBosen Lian, Wenqian Xue, Nhan Nguyen. 750-762 [doi]
• Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task SpecificationsJun Wang 0135, Hosein Hasanbeig, Kaiyuan Tan, Zihe Sun, Yiannis Kantaros. 763-776 [doi]
• Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion ModelsTzu-Yuan Huang, Armin Lederer, Nicolas Hoischen, Jan Brüdigam, Xuehua Xiao, Stefan Sosnowski, Sandra Hirche. 777-790 [doi]
• Diffusion Predictive Control with ConstraintsRalf Römer, Alexander von Rohr, Angela P. Schoellig. 791-803 [doi]
• Predictive Monitoring of Black-Box Dynamical SystemsThomas A. Henzinger, Fabian Kresse, Kaushik Mallik, Emily Yu, Djordje Zikelic. 804-816 [doi]
• Federated Posterior Sharing for Multi-Agent Systems in Uncertain EnvironmentsYuxi Wang, Peng Wu, Mahdi Imani. 817-829 [doi]
• Hybrid Modeling of Heterogeneous Human Teams for Collaborative Decision ProcessesAmirhossein Ravari, Seyede Fatemeh Ghoreishi, Tian Lan 0001, Nathaniel D. Bastian, Mahdi Imani. 830-843 [doi]
• Deep Source-Seekers with Obstacle Avoidance: Adaptive Hybrid Control with Transformers In-The-LoopXiyuan Zhang, Daniel Ochoa, Regina Talonia, Jorge Poveda. 844-855 [doi]
• Learning with contextual information in non-stationary environmentsSean Anderson, João Pedro Hespanha. 856-868 [doi]
• Contingency Constrained Planning with MPPI within MPPILeonard Jung, Alexander Estornell, Michael Everett. 869-880 [doi]
• Computing Quasi-Nash Equilibria via Gradient-Response SchemesZhuoyu Xiao, Uday V. Shanbhag. 881-893 [doi]
• Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with DemonstrationsCevahir Köprülü, Po-han Li, Tianyu Qiu, Ruihan Zhao 0001, Tyler Westenbroek, David Fridovich-Keil, Sandeep Chinchali, Ufuk Topcu. 894-906 [doi]
• Domain Randomization is Sample Efficient for Linear Quadratic ControlTesshu Fujinami, Bruce D. Lee, Nikolai Matni, George J. Pappas. 907-919 [doi]
• WAVE: Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement LearningAli Baheri, Zahra Shahrooei, Chirayu Salgarkar. 920-931 [doi]
• Realizable Continuous-Space Shields for Safe Reinforcement LearningKyungmin Kim 0002, Davide Corsi, Andoni Rodríguez, JB Lanier, Benjami Parellada, Pierre Baldi, César Sánchez 0001, Roy Fox. 932-945 [doi]
• LiveNet: Robust, Minimally Invasive Multi-Robot Control for Safe and Live Navigation in Constrained EnvironmentsSrikar Gouru, Siddharth Lakkoju, Rohan Chandra. 946-958 [doi]
• α-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential FunctionDvij Kalaria, Chinmay Maheshwari, Shankar Sastry 0001. 959-972 [doi]
• Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe ControllersDamola Ajeyemi, Saber Jafarpour, Emiliano Dall'Anese. 973-986 [doi]
• A-NC: Adaptive Neural Control with implicit online inference of privileged parametersMarcin Paluch, Florian Bolli, Pehuen Moure, Xiang Deng, Tobi Delbruck. 987-998 [doi]
• Symmetries-enhanced Multi-Agent Reinforcement LearningNikolaos Bousias, Stefanos Pertigkiozoglou, Kostas Daniilidis, George J. Pappas. 999-1011 [doi]
• A Dynamic Penalization Framework for Online Rank-1 Semidefinite Programming RelaxationsAhmad Al-Tawaha, Javad Lavaei, Ming Jin 0002. 1012-1024 [doi]
• Meta-Learning for Adaptive Control with Automated Mirror DescentSunbochen Tang, Haoyuan Sun, Navid Azizan. 1025-1037 [doi]
• Kernel-Based Optimal Control: An Infinitesimal Generator ApproachPetar Bevanda, Nicolas Hoischen, Tobias Wittmann, Jan Brüdigam, Sandra Hirche, Boris Houska. 1038-1052 [doi]
• Lyapunov Perception Contracts for Operating Design DomainsYangge Li, Chenxi Ji, Jai Anchalia, Yixuan Jia, Benjamin C. Yang, Daniel Zhuang, Sayan Mitra. 1053-1065 [doi]
• Neuro-Symbolic Deadlock Resolution in Multi-Robot SystemsRuiyang Wang, Bowen He, Miroslav Pajic. 1066-1077 [doi]
• A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural NetworksSaptarshi Mandal, Xiaojun Lin 0001, Rayadurgam Srikant. 1078-1089 [doi]
• QP Based Constrained Optimization for Reliable PINN TrainingAlan Williams, Christopher Leon, Alexander Scheinker. 1090-1101 [doi]
• STLGame: Signal Temporal Logic Games in Adversarial Multi-Agent SystemsShuo Yang 0007, Hongrui Zheng, Cristian Ioan Vasile, George J. Pappas, Rahul Mangharam. 1102-1114 [doi]
• CIKAN: Constraint Informed Kolmogorov-Arnold Networks for Autonomous Spacecraft Rendezvous using Time Shift GovernorTaehyeun Kim, Anouck Girard, Ilya V. Kolmanovsky. 1115-1126 [doi]
• Data-driven optimal control of unknown nonlinear dynamical systems using the Koopman operatorZhexuan Zeng, Ruikun Zhou, Yiming Meng, Jun Liu 0015. 1127-1139 [doi]
• Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude ControlHaonan He, Yuheng Qiu, Junyi Geng. 1140-1153 [doi]
• Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety FiltersAzra Begzadic, Nikhil Shinde, Sander Tonkens, Dylan Hirsch, Kaleb Ugalde, Michael C. Yip, Jorge Cortés 0001, Sylvia L. Herbert. 1154-1166 [doi]
• Abstraction-Based Control of Unknown Continuous-Space Models with Just Two TrajectoriesBehrad Samari, Mahdieh Zaker, Abolfazl Lavaei. 1167-1179 [doi]
• Reinforcement Learning from Multi-level and Episodic Human FeedbackMuhammad Qasim Elahi, Somtochukwu Oguchienti, Maheed H. Ahmed, Mahsa Ghasemi. 1180-1193 [doi]
• "What are my options?"€: Explaining RL Agents with Diverse Near-Optimal AlternativesNoel Brindise, Vijeth Hebbar, Riya Shah, Cedric Langbort. 1194-1205 [doi]
• Topological State Space Inference for Dynamical SystemsMishal Assif P. K, Yuliy Baryshnikov. 1206-1216 [doi]
• Opt-ODENet: Neural ODE Controller Design with Differentiable Optimization Layers for Safety and StabilityKeyan Miao, Liqun Zhao, Han Wang, Konstantinos Gatsis, Antonis Papachristodoulou. 1217-1229 [doi]
• NAPI-MPC: Neural Accelerated Physics-Informed MPC for Nonlinear PDE SystemsPeilun Li, Kaiyuan Tan, Thomas Beckers 0001. 1230-1242 [doi]
• BIGE : Biomechanics-informed GenAI for Exercise ScienceShubh Maheshwari, Anwesh Mohanty, Yadi Cao, Swithin Razu, Andrew McCulloch, Rose Yu. 1243-1256 [doi]
• Safe Learning in the Real World via Adaptive Shielding with Hamilton-Jacobi ReachabilityMichael Lu, Jashanraj Gosain, Luna Sang, Mo Chen. 1257-1270 [doi]
• Finite Sample Identification of Partially Observed Bilinear Dynamical SystemsYahya Sattar, Yassir Jedra, Maryam Fazel, Sarah Dean. 1271-1285 [doi]
• Nonconvex Linear System Identification with Minimal State RepresentationUday Kiran Reddy Tadipatri, Benjamin D. Haeffele, Joshua Agterberg, Ingvar M. Ziemann, René Vidal. 1286-1299 [doi]
• Zero-shot Sim-to-Real Transfer for Reinforcement Learning-based Visual Servoing of Soft Continuum ArmsHsin-Jung Yang, Mahsa Khosravi, Benjamin Walt, Girish Krishnan, Soumik Sarkar. 1300-1312 [doi]
• Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear SystemsMaryann Rui, Munther A. Dahleh. 1313-1325 [doi]
• Safe Exploration in Reinforcement Learning: Training Backup Control Barrier Functions with Zero Training-Time Safety ViolationsPedram Rabiee, Amirsaeid Safari. 1326-1337 [doi]
• STRiDE: STate-space Riemannian Diffusion for Equivariant PlanningEvangelos Chatzipantazis, Nishanth Rao, Kostas Daniilidis. 1338-1352 [doi]
• Safe Cooperative Multi-Agent Reinforcement Learning with Function ApproximationHao-Lun Hsu, Miroslav Pajic. 1353-1364 [doi]
• Learning Biomolecular Models using Signal Temporal LogicHanna Krasowski, Eric Palanques-Tost, Calin Belta, Murat Arcak. 1365-1377 [doi]
• Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQRShahbaz P. Qadri Syed, He Bai 0001. 1378-1391 [doi]
• Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics LearningFengze Xie, Sizhe Wei, Yue Song, Yisong Yue, Lu Gan. 1392-1405 [doi]
• Learning Collective Dynamics of Multi-Agent Systems using Event-based VisionMinah Lee, Uday Kamal, Saibal Mukhopadhyay. 1406-1418 [doi]
• PACE: A Framework for Learning and Control in Linear Incomplete-Information Differential GamesSeyed Yousef Soltanian, Wenlong Zhang. 1419-1433 [doi]
• Physics-informed Gaussian Processes as Linear Model Predictive ControllerJörn Tebbe, Andreas Besginow, Markus Lange-Hegermann. 1434-1446 [doi]
• Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical SystemsHaoyu Li, Xiangru Zhong, Bin Hu, Huan Zhang. 1447-1459 [doi]
• Robust Control of Uncertain Switched Affine Systems via Scenario OptimizationNegar Monir, Mahdieh Sadat Sadabadi, Sadegh Soudjani. 1460-1471 [doi]
• Disentangling Uncertainties by Learning Compressed Data RepresentationZhiyu An, Zhibo Hou, Wan Du. 1472-1483 [doi]
• TAB-Fields: A Maximum Entropy Framework for Mission-Aware Adversarial PlanningGokul Puthumanaillam, Jae Hyuk Song, Nurzhan Yesmagambet, Shinkyu Park, Melkior Ornik. 1484-1497 [doi]
• Bridging Adaptivity and Safety: Learning Agile Collision-Free Locomotion Across Varied PhysicsYichao Zhong, Chong Zhang, Tairan He, Guanya Shi. 1498-1511 [doi]
• Learning and steering game dynamics towards desirable outcomesIlayda Canyakmaz, Iosif Sakos, Wayne Lin, Antonios Varvitsiotis, Georgios Piliouras. 1512-1524 [doi]
• Interaction-Aware Parameter Privacy-Preserving Data Sharing in Coupled Systems via Particle Filter Reinforcement LearningHaokun Yu, Jingyuan Zhou, Kaidi Yang. 1525-1536 [doi]
• Temporal Logic Control for Nonlinear Stochastic Systems Under Unknown DisturbancesIbon Gracia, Luca Laurenti, Manuel Mazo Jr., Alessandro Abate, Morteza Lahijanian. 1537-1549 [doi]
• Data-Driven Yet Formal Policy Synthesis for Stochastic Nonlinear Dynamical SystemsMahdi Nazeri, Thom S. Badings, Sadegh Soudjani, Alessandro Abate. 1550-1564 [doi]
• Koopman Based Trajectory Optimization with Mixed BoundariesMohamed Abou-Taleb, Maximilian Raff, Kathrin Flaßkamp, C. David Remy. 1565-1577 [doi]