Papers
546 papers found
Strengthened stability analysis of discrete-time Lurie systems involving ReLU neural networks
Carl Richardson, Matthew Turner, Steve Gunn et al.
Submodular information selection for hypothesis testing with misclassification penalties
Jayanth Bhargav, Mahsa Ghasemi, Shreyas Sundaram
System-level safety guard: Safe tracking control through uncertain neural network dynamics models
Xiao Li, Yutong Li, Anouck Girard et al.
The behavioral toolbox
Ivan Markovsky
Towards bio-inspired control of aerial vehicle: Distributed aerodynamic parameters for state prediction
Yikang Wang, Adolfo Perrusquia, Dmitry Ignatyev
Towards model-free LQR control over rate-limited channels
Aritra Mitra, Lintao Ye, Vijay Gupta
Towards safe multi-task Bayesian optimization
Jannis Lübsen, Christian Hespe, Annika Eichler
Tracking object positions in reinforcement learning: A metric for keypoint detection
Emma Cramer, Jonas Reiher, Sebastian Trimpe
Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference
Samarth Gupta, Saurabh Amin
Uncertainty quantification and robustification of model-based controllers using conformal prediction
Kong Yao Chee, Thales C. Silva, M. Ani Hsieh et al.
Uncertainty quantification of set-membership estimation in control and perception: Revisiting the minimum enclosing ellipsoid
Yukai Tang, Jean-Bernard Lasserre, Heng Yang
Understanding the difficulty of solving Cauchy problems with PINNs
Tao Wang, Bo Zhao, Sicun Gao et al.
Verification of neural reachable tubes via scenario optimization and conformal prediction
Albert Lin, Somil Bansal
Wasserstein distributionally robust regret-optimal control over infinite-horizon
Taylan Kargin, Joudi Hajar, Vikrant Malik et al.
Accelerating Trajectory Generation for Quadrotors Using Transformers
Srinath Tankasala, Mitch Pryor
Adaptive Conformal Prediction for Motion Planning among Dynamic Agents
Anushri Dixit, Lars Lindemann, Skylar X Wei et al.
Adaptive Regret for Control of Time-Varying Dynamics
Paula Gradu, Elad Hazan, Edgar Minasyan
A Dynamical Systems Perspective on Discrete Optimization
Tong Guanchun, Michael Muehlebach
A finite-sample analysis of multi-step temporal difference estimates
Yaqi Duan, Martin J. Wainwright
A Generalizable Physics-informed Learning Framework for Risk Probability Estimation
Zhuoyuan Wang, Yorie Nakahira
Agile Catching with Whole-Body MPC and Blackbox Policy Learning
Saminda Abeyruwan, Alex Bewley, Nicholas Matthew Boffi et al.
A Learning and Control Perspective for Microfinance
Xiyu Deng, Christian Kurniawan, Adhiraj Chakraborty et al.
A Reinforcement Learning Look at Risk-Sensitive Linear Quadratic Gaussian Control
Leilei Cui, Tamer Basar, Zhong-Ping Jiang
Automated Reachability Analysis of Neural Network-Controlled Systems via Adaptive Polytopes
Taha Entesari, Mahyar Fazlyab