Papers
Constraint-Aware Reinforcement Learning via Adaptive Action Scaling
Murad Dawood, Usama Ahmed Siddiquie, Shahram Khorshidi et al.
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: √T-Regret
Benjamin Schiffer, Lucas Janson
Learning to accelerate distributed ADMM using graph neural networks
Henri Doerks, Paul Häusner, Daniel Hernández Escobar et al.
Learning Multi-Robot Coordination with Invariant Consensus Stabilization
Hang Yin, Christos Verginis, Danica Kragic
Scalable Infinitesimal Generator–Based Koopman Learning for Long-Horizon Prediction
Minseok Jeong, SooJean Han, Hyo-Sang Shin
Misinformation Mitigation over Social Networks: a Control Approach
Nicolò Pagan, Andreas Philippou, Giulia De Pasquale
Can Optimal Transport Improve Federated Inverse Reinforcement Learning?
David Millard, Ali Baheri
Balance Equation-based Distributionally Robust Offline Imitation Learning
Rishabh Agrawal, Yusuf Alvi, Rahul Jain et al.
Choose Wisely: Data-driven Predictive Control for Nonlinear Systems Using Online Data Selection
Joshua Näf, Keith Moffat, Jaap Eising et al.
Learning Dynamics from Input-Output Data with Hamiltonian Gaussian Processes
Jan-Hendrik Ewering, Robin Erik Herrmann, Niklas Wahlström et al.
Learning Quantized Continuous Controllers for Integer Hardware
Fabian Kresse, Christoph H. Lampert
Adversarially Robust Multitask Adaptive Control
Kasra Fallah, Leonardo Felipe Toso, James Anderson
Adaptive Policy Selection and Fine-Tuning under Interaction Budgets for Offline-to-Online Reinforcement Learning
Alper Kamil Bozkurt, Xiaoan Xu, Shangtong Zhang et al.
Koopman-BoxQP: Solving Large-Scale NMPC at kHz Rates
Liang Wu, Wallace Gian Yion Tan, Richard Braatz et al.
Assumed Density Filtering and Smoothing with Neural Network Surrogate Models
Simon Kuang, Xinfan Lin
Instrumental variables system identification with L^p consistency
Simon Kuang, Xinfan Lin
On the Exponential Stability of Koopman Model Predictive Control
Xu Shang, Jorge Cortes, Yang Zheng
Embodied Learning of Reward for Musculoskeletal Control with Vision Language Models
Saraswati Soedarmadji, Yunyue Wei, Chen Zhang et al.
Topological Dynamics via Learned Hybrid Systems
Bernardo Rivas, William Kalies, Kaito Iwasaki et al.
Scalable Verification of Neural Control Barrier Functions Using Linear Bound Propagation
Nikolaus Vertovec, Frederik Baymler Mathiesen, Thom Badings et al.
Latent Linear Quadratic Regulator for Robotic Control Tasks
Yuan Zhang, Shaohui Yang, Toshiyuki Ohtsuka et al.
Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems
Hans Harder, Abhijeet Vishwasrao, Luca Guastoni et al.
Online Tracking with Predictions for Nonlinear Systems with Koopman Linear Embedding
Chih-Fan Pai, Xu Shang, Jiachen Qian et al.
CoFineLLM: Conformal Finetuning of LLMs for Language-Instructed Robot Planning
Jun Wang, Yevgeniy Vorobeychik, Yiannis Kantaros
Chebyshev polynomials meet Nevanlinna-Pick interpolation: An automated procedure for algorithm synthesis
Ibrahim Kurban Ozaslan, Tryphon Georgiou, Mihailo Jovanovic