Papers
psy detectives at SemEval-2026 Task 10: PsyCoMark – Psycholinguistic Conspiracy Marker Extraction and Detection
Roxana Carabas, Anamaria Nacu, Lucian Isac et al.
Enhancing Inverse Reinforcement Learning through Encoding Dynamic Information in Reward Shaping
Simon Sinong Zhan, Philip Wang, Qingyuan Wu et al.
Subgradient Method for System Identification with Non-Smooth Objectives
Baturalp Yalcin, Jihun Kim, Javad Lavaei
Online Subspace Learning on Flag Manifolds for System Identification
Dian Jin, Jeremy Coulson
Learning Nonholonomic Dynamics with Constraint Discovery
Baiyue Wang, Anthony Bloch
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.