Papers
Warm-starting active-set solvers using graph neural networks
Ella J. Schmidtobreick, Daniel Arnström, Paul Häusner et al.
BarrierBench: Evaluating Large Language Models for Safety Verification in Dynamical Systems
Ali Taheri, Alireza Taban, Sadegh Soudjani et al.
Improving EV Aggregate Flexibility with End-to-End Learning
Apoorva Thanvantri, Christopher Yeh, Nicolas Christianson et al.
When Environments Shift: Safe Planning with Generative Priors and Robust Conformal Prediction
Kaizer Rahaman, Jyotirmoy V. Deshmukh, Ashish R. Hota et al.
Trajectory-Level Experimental Design for Fast Safety Parameter Estimation of Unknown Environments by Autonomous Systems
Aneesh Raghavan, Karl Henrik Johansson
GCImOpt: Learning efficient goal-conditioned policies by imitating optimal trajectories
Jon Goikoetxea, Jesús F. Palacián
Fourier Weak SINDy: Spectral Test Function Selection for Robust Model Identification
Zhiheng Chen, Urban Fasel, Anastasia Bizyaeva
Active Constraint Learning in High Dimensions from Demonstrations
Zheng Qiu, Chih-Yuan Chiu, Glen Chou
Robust Least-Squares Optimization for Data-Driven Predictive Control: A Geometric Approach
Shreyas Bharadwaj, Bamdev Mishra, Cyrus Mostajeran et al.
Precise Performance of Linear Denoisers in The Proportional Regime
Reza Ghane, Danil Akhtiamov, Babak Hassibi
Convergence of Vector Quantization–Based Classifiers to the Bayes Optimal Classifier with Applications to Hybrid System Identification
Aneesh Raghavan, Christos Mavridis, Karl Henrik Johansson et al.
HALO: Hybrid Auto-encoded Locomotion with Learned Latent Dynamics, Poincaré Maps, and Regions of Attraction
Blake Werner, Sergio Esteban, Massimiliano de Sa et al.
Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis
Anutam Srinivasan, Antoine Leeman, Glen Chou
BGCL:Learning Constitutive Laws for System Identification
Abhishek Patkar, Kamal Youcef-Toumi
A Unified Framework for Locality in Scalable MARL
Sourav Chakraborty, Amit Kiran Rege, Claire Monteleoni et al.
Kernel-Based Safe Exploration in Deep Reinforcement Learning
R Majumdar, Nikhil Singh, Sadegh Soudjani
Near Optimal Convergence to Coarse Correlated Equilibrium in General-Sum Markov Games
Asrin Efe Yorulmaz, Tamer Basar
Zero-Shot Function Encoder-Based Differentiable Predictive Control
Hassan Iqbal, Xingjian Li, Tyler Ingebrand et al.
Koopman Operator for Stability Analysis: Theory with a Linear–Radial Product Reproducing Kernel
Wentao Tang, Xiuzhen Ye
FALCON: Learning Force-Adaptive Humanoid Loco-Manipulation
Yuanhang Zhang, Yifu Yuan, Prajwal Gurunath et al.
ACE: Adapting sampling for Counterfactual Explanations
Margarita A. Guerrero, Cristian R. Rojas
Learning to Solve Constrained Bilevel Control Co-Design Problems
James Kotary, Himanshu Sharma, Ethan King et al.
ECO: Energy-Constrained Operator Learning for Chaotic Dynamics with Boundedness Guarantees
Andrea Goertzen, Sunbochen Tang, Navid Azizan
DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning
Srujan Deolasee, Siva Kailas, Wenhao Luo et al.