Papers
Scalability Enhancement and Data-Heterogeneity Awareness in Gradient Tracking based Decentralized Bayesian Learning
Kinjal Bhar, He Bai, Jemin George et al.
Linear System Identification from Snapshot Data by Schrodinger bridge
Kohei Morimoto, Kenji Kashima
Accelerating Proximal Policy Optimization Learning Using Task Prediction for Solving Environments with Delayed Rewards
Ahmad Ahmad, Mehdi Kermanshah, Kevin Leahy et al.
Logarithmic Regret for Nonlinear Control
James Wang, Bruce Lee, Ingvar Ziemann et al.
Outlier-Robust Linear System Identification Under Heavy-Tailed Noise
Vinay Kanakeri, Aritra Mitra
Fast and Reliable $N - k$ Contingency Screening with Input-Convex Neural Networks
Nicolas Christianson, Wenqi Cui, Steven Low et al.
Safe PDE Boundary Control with Neural Operators
Hanjiang Hu, Changliu Liu
HydroGym: A Reinforcement Learning Platform for Fluid Dynamics
Christian Lagemann, Ludger Paehler, Jared Callaham et al.
Flow matching for stochastic linear control systems
Yuhang Mei, Mohammad Al-Jarrah, Amirhossein Taghvaei et al.
Conditional Kernel Imitation Learning for Continuous State Environments
Rishabh Agrawal, Nathan Dahlin, Rahul Jain et al.
Data-Driven and Stealthy Deactivation of Safety Filters
Daniel Arnström, Andre M.H. Teixeira
Learning Kolmogorov-Arnold Neural Activation Functions by Infinite-Dimensional Optimization
Leon Khalyavin, Alessio Moreschini, Thomas Parisini
Learning Feasible Transitions for Efficient Contact Planning
Rikhat Akizhanov, Victor Dhedin, Majid Khadiv et al.
Data-Driven Near-Optimal Control of Nonlinear Systems Over Finite Horizon
Vasanth Reddy Baddam, Hoda Eldardiry, Almuatazbellah Boker
TamedPUMA: safe and stable imitation learning with geometric fabrics
Saray Bakker, Rodrigo Perez-Dattari, Cosimo Della Santina et al.
Extended Convex Lifting for Policy Optimization of Optimal and Robust Control
Yang Zheng, Chih-Fan Pai, Yujie Tang
Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret
Yeoneung Kim, Gihun Kim, Jiwhan Park et al.
Linear Supervision for Nonlinear, High-Dimensional Neural Control and Differential Games
William Sharpless, Zeyuan Feng, Somil Bansal et al.
Physics-Enforced Reservoir Computing for Forecasting Spatiotemporal Systems
Dima Tretiak, Anastasia Bizyaeva, J. Nathan Kutz et al.
Informative Input Design for Dynamic Mode Decomposition
Joshua Ott, Mykel Kochenderfer, Stephen Boyd
Action-Conditioned Hamiltonian Generative Networks (AC-HGN) for Supervised and Reinforcement Learning
Arne Troch, Kevin Mets, Siegfried Mercelis
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization
Yifan Sun, Feihan Li, Weiye Zhao et al.
Automating the loop in traffic incident management on highway
Matteo Cercola, Nicola Gatti, Pedro Huertas Leyva et al.
Rates for Offline Reinforcement Learning with Adaptively Collected Data
Sunil Madhow, Dan Qiao, Ming Yin et al.
Safe Decision Transformer with Learning-based Constraints
Ruhan Wang, Dongruo Zhou