Papers
546 papers found
CoVO-MPC: Theoretical analysis of sampling-based MPC and optimal covariance design
Zeji Yi, Chaoyi Pan, Guanqi He et al.
Data-driven robust covariance control for uncertain linear systems
Joshua Pilipovsky, Panagiotis Tsiotras
Data-driven simulator for mechanical circulatory support with domain adversarial neural process
Sophia Sun, Wenyuan Chen, Zihao Zhou et al.
Data-driven strategy synthesis for stochastic systems with unknown nonlinear disturbances
Ibon Gracia, Dimitris Boskos, Luca Laurenti et al.
Data driven verification of positive invariant sets for discrete, nonlinear systems
Amy K. Strong, Leila J. Bridgeman
Data-efficient, explainable and safe box manipulation: Illustrating the advantages of physical priors in model-predictive control
Achkan Salehi, Stephane Doncieux
DC4L: Distribution shift recovery via data-driven control for deep learning models
Vivian Lin, Kuk Jin Jang, Souradeep Dutta et al.
Decision boundary learning for safe vision-based navigation via Hamilton-Jacobi reachability analysis and support vector machine
Tara Toufighi, Minh Bui, Rakesh Shrestha et al.
Deep Hankel matrices with random elements
Nathan Lawrence, Philip Loewen, Shuyuan Wang et al.
Deep model-free KKL observer: A switching approach
Johan Peralez, Madiha Nadri
Design of observer-based finite-time control for inductively coupled power transfer system with random gain fluctuations
Satheesh Thangavel, Sakthivel Rathinasamy
Distributed on-the-fly control of multi-agent systems with unknown dynamics: Using limited data to obtain near-optimal control
Shayan Meshkat Alsadat, Nasim Baharisangari, Zhe Xu
Do no harm: A counterfactual approach to safe reinforcement learning
Sean Vaskov, Wilko Schwarting, Chris Baker
Dynamics harmonic analysis of robotic systems: Application in data-driven Koopman modelling
Daniel Ordoñez-Apraez, Vladimir Kostic, Giulio Turrisi et al.
Efficient imitation learning with conservative world models
Victor Kolev, Rafael Rafailov, Kyle Hatch et al.
Efficient skill acquisition for insertion tasks in obstructed environments
Jun Yamada, Jack Collins, Ingmar Posner
Error bounds, PL condition, and quadratic growth for weakly convex functions, and linear convergences of proximal point methods
Feng-Yi Liao, Lijun Ding, Yang Zheng
Event-triggered safe Bayesian optimization on quadcopters
Antonia Holzapfel, Paul Brunzema, Sebastian Trimpe
Expert with clustering: Hierarchical online preference learning framework
Tianyue Zhou, Jung-Hoon Cho, Babak Rahimi Ardabili et al.
From raw data to safety: Reducing conservatism by set expansion
Mohammad Bajelani, Klaske Van Heusden
Generalized constraint for probabilistic safe reinforcement learning
Weiqin Chen, Santiago Paternain
Global rewards in multi-agent deep reinforcement learning for autonomous mobility on demand systems
Heiko Hoppe, Tobias Enders, Quentin Cappart et al.
Gradient shaping for multi-constraint safe reinforcement learning
Yihang Yao, Zuxin Liu, Zhepeng Cen et al.