Papers
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.
Time-aware Motion Planning in Dynamic Environments with Conformal Prediction
Kaier Liang, Licheng Luo, Yixuan Wang et al.
CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics
Nelson Chen, William R. Johnson III, Rebecca Kramer-Bottiglio et al.
How to Train Your Latent Control Barrier Function: Smooth Safety Filtering Under Hard-to-Model Constraints
Kensuke Nakamura, Arun L Bishop, Steven Man et al.
Adapting World Models with Latent-State Dynamics Residuals
JB Lanier, Kyungmin Kim, Armin Karamzade et al.
Model-Based Reinforcement Learning under Random Observation Delays
Armin Karamzade, Kyungmin Kim, JB Lanier et al.
Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees
Devesh Nath, Haoran Yin, Glen Chou