State space models, emergence, and ergodicity: How many parameters are needed for stable predictions?

Ingvar Ziemann, Nikolai Matni, George Pappas; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1-11

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Multi-agent Stochastic Bandits Robust to Adversarial Corruptions

Fatemeh Ghaffari, Xuchuang Wang, Jinhang Zuo, Mohammad Hajiesmaili; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:12-25

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A Short Information-Theoretic Analysis of Linear Auto-Regressive Learning

Ingvar Ziemann; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:26-30

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Exploiting Approximate Symmetry for Efficient Multi-Agent Reinforcement Learning

Batuhan Yardim, Niao He; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:31-44

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DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization

Anjian Li, Zihan Ding, Adji Bousso Dieng, Ryne Beeson; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:45-58

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DKMGP: A Gaussian Process Approach to Multi-Task and Multi-Step Vehicle Dynamics Modeling in Autonomous Racing

Jingyun Ning, Madhur Behl; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:59-71

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Asymptotics of Linear Regression with Linearly Dependent Data

Behrad Moniri, Hamed Hassani; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:72-85

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Learning Temporal Logic Predicates from Data with Statistical Guarantees

Emi Soroka, Rohan Sinha, Sanjay Lall; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:86-98

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Interacting Particle Systems for Fast Linear Quadratic RL

Anant A. Joshi, Heng-Sheng Chang, Amirhossein Taghvaei, Prashant G. Mehta, Sean P. Meyn; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:99-111

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Learning Two-agent Motion Planning Strategies from Generalized Nash Equilibrium for Model Predictive Control

Hansung Kim, Edward L. Zhu, Chang Seok Lim, Francesco Borrelli; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:112-123

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The Complexity of Sequential Prediction in Dynamical Systems

Vinod Raman, Unique Subedi, Ambuj Tewari; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:124-138

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Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots

Feihan Li, Abulikemu Abuduweili, Yifan Sun, Rui Chen, Weiye Zhao, Changliu Liu; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:136-148

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Scalable Natural Policy Gradient for General-Sum Linear Quadratic Games with Known Parameters

Mostafa Shibl, Wesley Suttle, Vijay Gupta; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:139-152

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Learning for Layered Safety-Critical Control with Predictive Control Barrier Functions

William D. Compton, Max H. Cohen, Aaron D. Ames; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:153-165

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Orthogonal projection-based regularization for efficient model augmentation

Bendeguz Mate Györök, Jan H. Hoekstra, Johan Kon, Tamas Peni, Maarten Schoukens, Roland Toth; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:166-178

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Controlling Participation in Federated Learning with Feedback

Michael Cummins, Guner Dilsad Er, Michael Muehlebach; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:174-186

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Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems

Luke Bhan, Peijia Qin, Miroslav Krstic, Yuanyuan Shi; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:179-193

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Safe, Out-of-Distribution-Adaptive MPC with Conformalized Neural Network Ensembles

Jose Leopoldo Contreras, Ola Shorinwa, Mac Schwager; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:194-207

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Formation Shape Control using the Gromov-Wasserstein Metric

Haruto Nakashima, Siddhartha Ganguly, Kohei Morimoto, Kenji Kashima; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:208-220

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Anytime Safe Reinforcement Learning

Pol Mestres, Arnau Marzabal, Jorge Cortes; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:221-232

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A Pontryagin Perspective on Reinforcement Learning

Onno Eberhard, Claire Vernade, Michael Muehlebach; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:233-244

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Safe Decision Transformer with Learning-based Constraints

Ruhan Wang, Dongruo Zhou; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:245-258

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Rates for Offline Reinforcement Learning with Adaptively Collected Data

Sunil Madhow, Dan Qiao, Ming Yin, Yu-Xiang Wang; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:259-271

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Automating the loop in traffic incident management on highway

Matteo Cercola, Nicola Gatti, Pedro Huertas Leyva, Benedetto Carambia, Simone Formentin; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:272-284

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Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization

Yifan Sun, Feihan Li, Weiye Zhao, Rui Chen, Tianhao Wei, Changliu Liu; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:298-309

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Action-Conditioned Hamiltonian Generative Networks (AC-HGN) for Supervised and Reinforcement Learning

Arne Troch, Kevin Mets, Siegfried Mercelis; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:310-322

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Informative Input Design for Dynamic Mode Decomposition

Joshua Ott, Mykel Kochenderfer, Stephen Boyd; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:336-349

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Physics-Enforced Reservoir Computing for Forecasting Spatiotemporal Systems

Dima Tretiak, Anastasia Bizyaeva, J. Nathan Kutz, Steven L. Brunton; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:350-364

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Linear Supervision for Nonlinear, High-Dimensional Neural Control and Differential Games

William Sharpless, Zeyuan Feng, Somil Bansal, Sylvia Herbert; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:365-377

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Approximate Thompson Sampling for Learning Linear Quadratic Regulators with $O(\sqrtT)$ Regret

Yeoneung Kim, Gihun Kim, Jiwhan Park, Insoon Yang; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:378-391

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Extended Convex Lifting for Policy Optimization of Optimal and Robust Control

Yang Zheng, Chih-Fan Pai, Yujie Tang; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:392-404

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TamedPUMA: safe and stable imitation learning with geometric fabrics

Saray Bakker, Rodrigo Perez-Dattari, Cosimo Della Santina, Wendelin Böhmer, Javier Alonso-Mora; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:405-418

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Data-Driven Near-Optimal Control of Nonlinear Systems Over Finite Horizon

Vasanth Reddy Baddam, Hoda Eldardiry, Almuatazbellah Boker; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:419-430

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Learning Feasible Transitions for Efficient Contact Planning

Rikhat Akizhanov, Victor Dhedin, Majid Khadiv, Ivan Laptev; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:431-442

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Learning Kolmogorov-Arnold Neural Activation Functions by Infinite-Dimensional Optimization

Leon Khalyavin, Alessio Moreschini, Thomas Parisini; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:443-455

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Data-Driven and Stealthy Deactivation of Safety Filters

Daniel Arnström, Andre M.H. Teixeira; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:456-468

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Conditional Kernel Imitation Learning for Continuous State Environments

Rishabh Agrawal, Nathan Dahlin, Rahul Jain, Ashutosh Nayyar; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:469-483

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Flow matching for stochastic linear control systems

Yuhang Mei, Mohammad Al-Jarrah, Amirhossein Taghvaei, Yongxin Chen; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:484-496

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HydroGym: A Reinforcement Learning Platform for Fluid Dynamics

Christian Lagemann, Ludger Paehler, Jared Callaham, Sajeda Mokbel, Samuel Ahnert, Kai Lagemann, Esther Lagemann, Nikolaus Adams, Steven Brunton; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:497-512

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Safe PDE Boundary Control with Neural Operators

Hanjiang Hu, Changliu Liu; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:513-526

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Fast and Reliable $N - k$ Contingency Screening with Input-Convex Neural Networks

Nicolas Christianson, Wenqi Cui, Steven Low, Weiwei Yang, Baosen Zhang; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:527-539

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Outlier-Robust Linear System Identification Under Heavy-Tailed Noise

Vinay Kanakeri, Aritra Mitra; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:540-551

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Logarithmic Regret for Nonlinear Control

James Wang, Bruce Lee, Ingvar Ziemann, Nikolai Matni; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:552-565

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Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards

Ahmad Ahmad, Mehdi Kermanshah, Kevin Leahy, Zachary Serlin, Ho Chit Siu, Makai Mann, Cristian-Ioan Vasile, Roberto Tron, Calin Belta; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:566-578

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Linear System Identification from Snapshot Data by Schrodinger bridge

Kohei Morimoto, Kenji Kashima; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:579-590

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Scalability Enhancement and Data-Heterogeneity Awareness in Gradient Tracking based Decentralized Bayesian Learning

Kinjal Bhar, He Bai, Jemin George, Carl Busart; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:591-605

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Sensor Scheduling in Intrusion Detection Games with Uncertain Payoffs

Jayanth Bhargav, Shreyas Sundaram, Mahsa Ghasemi; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:606-618

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Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage

Kishan Panaganti, Zaiyan Xu, Dileep Kalathil, Mohammad Ghavamzadeh; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:619-634

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Stochastic Real-Time Deception in Nash Equilibrium Seeking for Games with Quadratic Payoffs

Michael Tang, Miroslav Krstic, Jorge Poveda; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:635-646

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Responding to Promises: No-regret learning against followers with memory

Vijeth Hebbar, Cedric Langbort; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:647-659

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Adaptive Control of Positive Systems with Application to Learning SSP

Fethi Bencherki, Anders Rantzer; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:660-672

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DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization

Michael Cummins, Alberto Padoan, Keith Moffat, Florian Dorfler, John Lygeros; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:673-685

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A Dynamic Safety Shield for Safe and Efficient Reinforcement Learning of Navigation Tasks

Murad Dawood, Ahmed Shokry, Maren Bennewitz; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:686-697

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Multi-Constraint Safe Reinforcement Learning via Closed-form Solution for Log-Sum-Exp Approximation of Control Barrier Functions

Chenggang Wang, Xinyi Wang, Yutong Dong, Lei Song, Xinping Guan; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:698-710

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Analytical Integral Global Optimization

Sebastien Labbe, Andrea Del Prete; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:711-722

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Efficient Duple Perturbation Robustness in Low-rank MDPs

Yang Hu, Haitong Ma, Na Li, Bo Dai; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:723-737

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Probabilistic Satisfaction of Temporal Logic Constraints in Reinforcement Learning via Adaptive Policy-Switching

Xiaoshan Lin, Sadik Bera Yuksel, Yasin Yazicioglu, Derya Aksaray; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:738-749

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Robust Inverse Reinforcement Learning Control with Unknown States

Bosen Lian, Wenqian Xue, Nhan Nguyen; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:750-762

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Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications

Jun Wang, Hosein Hasanbeig, Kaiyuan Tan, Zihe Sun, Yiannis Kantaros; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:763-776

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Toward Near-Globally Optimal Nonlinear Model Predictive Control via Diffusion Models

Tzu-Yuan Huang, Armin Lederer, Nicolas Hoischen, Jan Brudigam, Xuehua Xiao, Stefan Sosnowski, Sandra Hirche; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:777-790

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Diffusion Predictive Control with Constraints

Ralf Römer, Alexander von Rohr, Angela Schoellig; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:791-803

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Predictive Monitoring of Black-Box Dynamical Systems

Thomas A. Henzinger, Fabian Kresse, Kaushik Mallik, Emily Yu, \DJor\dje Žikelić; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:804-816

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Federated Posterior Sharing for Multi-Agent Systems in Uncertain Environments

Yuxi Wang, Peng Wu, Mahdi Imani; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:817-829

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Hybrid Modeling of Heterogeneous Human Teams for Collaborative Decision Processes

Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Tian Lan, Nathaniel D. Bastian, Mahdi Imani; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:830-843

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Deep Source-Seekers with Obstacle Avoidance: Adaptive Hybrid Control with Transformers In-The-Loop

Xiyuan Zhang, Daniel Ochoa, Regina Talonia, Jorge Poveda; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:844-855

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Learning with contextual information in non-stationary environments

Sean Anderson, Joao P. Hespanha; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:856-868

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Contingency Constrained Planning with MPPI within MPPI

Leonard Jung, Alexander Estornell, Michael Everett; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:869-880

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Computing Quasi-Nash Equilibria via Gradient-Response Schemes

Zhuoyu Xiao, Uday V. Shanbhag; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:881-893

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Dense Dynamics-Aware Reward Synthesis: Integrating Prior Experience with Demonstrations

Cevahir Koprulu, Po-Han Li, Tianyu Qiu, Ruihan Zhao, Tyler Westenbroek, David Fridovich-Keil, Sandeep Chinchali, Ufuk Topcu; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:894-906

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Domain Randomization is Sample Efficient for Linear Quadratic Control

Tesshu Fujinami, Bruce D. Lee, Nikolai Matni, George J. Pappas; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:907-919

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WAVE: Wasserstein Adaptive Value Estimation for Actor-Critic Reinforcement Learning

Ali Baheri, Zahra Shahrooei, Chirayu Salgarkar; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:920-931

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Realizable Continuous-Space Shields for Safe Reinforcement Learning

Kyungmin Kim, Davide Corsi, Andoni Rodrı́guez, Jb Lanier, Benjami Parellada, Pierre Baldi, César Sánchez, Roy Fox; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:932-945

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LiveNet: Robust, Minimally Invasive Multi-Robot Control for Safe and Live Navigation in Constrained Environments

Srikar Gouru, Siddharth Lakkoju, Rohan Chandra; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:946-958

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$α$-RACER: Real-Time Algorithm for Game-Theoretic Motion Planning and Control in Autonomous Racing using Near-Potential Function

Dvij Kalaria, Chinmay Maheshwari, Shankar Sastry; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:959-972

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Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers

Damola Ajeyemi, Saber Jafarpour, Emiliano Dall’Anese; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:973-986

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A-NC: Adaptive Neural Control with implicit online inference of privileged parameters

Marcin Paluch, Florian Bolli, Pehuen Moure, Xiang Deng, Tobi Delbruck; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:987-998

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Symmetries-enhanced Multi-Agent Reinforcement Learning

Nikolaos Bousias, Stefanos Pertigkiozoglou, Kostas Daniilidis, George Pappas; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:999-1011

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A Dynamic Penalization Framework for Online Rank-1 Semidefinite Programming Relaxations

Ahmad Al-Tawaha, Javad Lavaei, Ming Jin; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1012-1024

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Meta-Learning for Adaptive Control with Automated Mirror Descent

Sunbochen Tang, Haoyuan Sun, Navid Azizan; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1025-1037

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Kernel-Based Optimal Control: An Infinitesimal Generator Approach

Petar Bevanda, Nicolas Hoischen, Tobias Wittmann, Jan Brudigam, Sandra Hirche, Boris Houska; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1038-1052

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Lyapunov Perception Contracts for Operating Design Domains

Yangge Li, Chenxi Ji, Jai Anchalia, Yixuan Jia, Benjamin C Yang, Daniel Zhuang, Sayan Mitra; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1053-1065

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Neuro-Symbolic Deadlock Resolution in Multi-Robot Systems

Ruiyang Wang, Bowen He, Miroslav Pajic; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1066-1077

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A Theoretical Analysis of Soft-Label vs Hard-Label Training in Neural Networks

Saptarshi Mandal, Xiaojun Lin, Rayadurgam Srikant; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1078-1089

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QP Based Constrained Optimization for Reliable PINN Training

Alan Williams, Christopher Leon, Alexander Scheinker; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1090-1101

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STLGame: Signal Temporal Logic Games in Adversarial Multi-Agent Systems

Shuo Yang, Hongrui Zheng, Cristian-Ioan Vasile, George Pappas, Rahul Mangharam; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1102-1114

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CIKAN: Constraint Informed Kolmogorov-Arnold Networks for Autonomous Spacecraft Rendezvous using Time Shift Governor

Taehyeun Kim, Anouck Girard, Ilya Kolmanovsky; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1115-1126

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Data-driven optimal control of unknown nonlinear dynamical systems using the Koopman operator

Zhexuan Zeng, Ruikun Zhou, Yiming Meng, Jun Liu; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1127-1139

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Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control

Haonan He, Yuheng Qiu, Junyi Geng; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1140-1153

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Back to Base: Towards Hands-Off Learning via Safe Resets with Reach-Avoid Safety Filters

Azra Begzadic, Nikhil Shinde, Sander Tonkens, Dylan Hirsch, Kaleb Ugalde, Michael Yip, Jorge Cortes, Sylvia Herbert; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1154-1166

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Abstraction-Based Control of Unknown Continuous-Space Models with Just Two Trajectories

Behrad Samari, Mahdieh Zaker, Abolfazl Lavaei; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1167-1179

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Reinforcement Learning from Multi-level and Episodic Human Feedback

Muhammad Qasim Elahi, Somtochukwu Oguchienti, Maheed H. Ahmed, Mahsa Ghasemi; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1180-1193

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“What are my options?"€: Explaining RL Agents with Diverse Near-Optimal Alternatives

Noel Brindise, Vijeth Hebbar, Riya Shah, Cedric Langbort; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1194-1205

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Topological State Space Inference for Dynamical Systems

Mishal Assif P K, Yuliy Baryshnikov; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1206-1216

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Opt-ODENet: Neural ODE Controller Design with Differentiable Optimization Layers for Safety and Stability

Keyan Miao, Liqun Zhao, Han Wang, Konstantinos Gatsis, Antonis Papachristodoulou; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1217-1229

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NAPI-MPC: Neural Accelerated Physics-Informed MPC for Nonlinear PDE Systems

Peilun Li, Kaiyuan Tan, Thomas Beckers; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1230-1242

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BIGE : Biomechanics-informed GenAI for Exercise Science

Shubh Maheshwari, Anwesh Mohanty, Yadi Cao, Swithin Razu, Andrew McCulloch, Rose Yu; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1243-1256

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Safe Learning in the Real World via Adaptive Shielding with Hamilton-Jacobi Reachability

Michael Lu, Jashanraj Gosain, Luna Sang, Mo Chen; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1257-1270

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Finite Sample Identification of Partially Observed Bilinear Dynamical Systems

Yahya Sattar, Yassir Jedra, Maryam Fazel, Sarah Dean; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1271-1285

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Nonconvex Linear System Identification with Minimal State Representation

Uday Kiran Reddy Tadipatri, Benjamin D. Haeffele, Joshua Agterberg, Ingvar Ziemann, Rene Vidal; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1286-1299

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Zero-shot Sim-to-Real Transfer for Reinforcement Learning-based Visual Servoing of Soft Continuum Arms

Hsin-Jung Yang, Mahsa Khosravi, Benjamin Walt, Girish Krishnan, Soumik Sarkar; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1300-1312

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Finite Sample Analysis of Tensor Decomposition for Learning Mixtures of Linear Systems

Maryann Rui, Munther Dahleh; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1313-1325

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Safe Exploration in Reinforcement Learning: Training Backup Control Barrier Functions with Zero Training-Time Safety Violations

Pedram Rabiee, Amirsaeid Safari; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1326-1337

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STRiDE: STate-space Riemannian Diffusion for Equivariant Planning

Evangelos Chatzipantazis, Nishanth Rao, Kostas Daniilidis; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1338-1352

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Safe Cooperative Multi-Agent Reinforcement Learning with Function Approximation

Hao-Lun Hsu, Miroslav Pajic; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1353-1364

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Learning Biomolecular Models using Signal Temporal Logic

Hanna Krasowski, Eric Palanques-Tost, Calin Belta, Murat Arcak; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1365-1377

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Exploiting inter-agent coupling information for efficient reinforcement learning of cooperative LQR

Shahbaz P Qadri Syed, He Bai; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1378-1391

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Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning

Fengze Xie, Sizhe Wei, Yue Song, Yisong Yue, Lu Gan; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1392-1405

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Learning Collective Dynamics of Multi-Agent Systems using Event-based Vision

Minah Lee, Uday Kamal, Saibal Mukhopadhyay; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1406-1418

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PACE: A Framework for Learning and Control in Linear Incomplete-Information Differential Games

Seyed Yousef Soltanian, Wenlong Zhang; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1419-1433

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Physics-informed Gaussian Processes as Linear Model Predictive Controller

Jörn Tebbe, Andreas Besginow, Markus Lange-Hegermann; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1434-1446

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Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems

Haoyu Li, Xiangru Zhong, Bin Hu, Huan Zhang; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1447-1459

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Robust Control of Uncertain Switched Affine Systems via Scenario Optimization

Negar Monir, Mahdieh S. Sadabadi, Sadegh Soudjani; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1460-1471

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Disentangling Uncertainties by Learning Compressed Data Representation

Zhiyu An, Zhibo Hou, Wan Du; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1472-1483

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TAB-Fields: A Maximum Entropy Framework for Mission-Aware Adversarial Planning

Gokul Puthumanaillam, Jae Hyuk Song, Nurzhan Yesmagambet, Shinkyu Park, Melkior Ornik; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1484-1497

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Bridging Adaptivity and Safety: Learning Agile Collision-Free Locomotion Across Varied Physics

Yichao Zhong, Chong Zhang, Tairan He, Guanya Shi; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1498-1511

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Learning and steering game dynamics towards desirable outcomes

Ilayda Canyakmaz, Iosif Sakos, Wayne Lin, Antonios Varvitsiotis, Georgios Piliouras; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1512-1524

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Interaction-Aware Parameter Privacy-Preserving Data Sharing in Coupled Systems via Particle Filter Reinforcement Learning

Haokun Yu, Jingyuan Zhou, Kaidi Yang; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1525-1536

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Temporal Logic Control for Nonlinear Stochastic Systems Under Unknown Disturbances

Ibon Gracia, Luca Laurenti, Manuel Mazo Jr, Alessandro Abate, Morteza Lahijanian; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1537-1549

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Data-Driven Yet Formal Policy Synthesis for Stochastic Nonlinear Dynamical Systems

Mahdi Nazeri, Thom Badings, Sadegh Soudjani, Alessandro Abate; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1550-1564

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Koopman Based Trajectory Optimization with Mixed Boundaries

Mohamed Abou-Taleb, Maximilian Raff, Kathrin Flaßkamp, C. David Remy; Proceedings of the 7th Annual Learning for Dynamics \& Control Conference, PMLR 283:1565-1577

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