Papers
546 papers found
Robust Online Control with Model Misspecification
Udaya Ghai, Xinyi Chen, Elad Hazan et al.
Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics
Zhichao Li, Thai Duong, Nikolay Atanasov
Safe Control with Minimal Regret
Andrea Martin, Luca Furieri, Florian Dörfler et al.
Safe Control with Neural Network Dynamic Models
Tianhao Wei, Changliu Liu
Safe Reinforcement Learning with Chance-constrained Model Predictive Control
Samuel Pfrommer, Tanmay Gautam, Alec Zhou et al.
Safety-Aware Preference-Based Learning for Safety-Critical Control
Ryan Cosner, Maegan Tucker, Andrew Taylor et al.
Sample-based Distributional Policy Gradient
Rahul Singh, Keuntaek Lee, Yongxin Chen
Sample Complexity of the Robust LQG Regulator with Coprime Factors Uncertainty
Yifei Zhang, Sourav Ukil, Ephraim Neimand et al.
Sliding-Seeking Control: Model-Free Optimization with Safety Constraints
Felipe Galarza-Jiménez, Jorge Poveda, Emiliano Dall’Anese
Structure-Preserving Learning Using Gaussian Processes and Variational Integrators
Jan Brüdigam, Martin Schuck, Alexandre Capone et al.
Symplectic Momentum Neural Networks - Using Discrete Variational Mechanics as a prior in Deep Learning
Saul Santos, Monica Ekal, Rodrigo Ventura
Time Varying Regression with Hidden Linear Dynamics
Horia Mania, Ali Jadbabaie, Devavrat Shah et al.
Total Energy Shaping with Neural Interconnection and Damping Assignment - Passivity Based Control
Santiago Sanchez-Escalonilla Plaza, Rodolfo Reyes-Baez, Bayu Jayawardhana
Tracking and Planning with Spatial World Models
Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt et al.
Training Lipschitz Continuous Operators Using Reproducing Kernels
Henk van Waarde, Rodolphe Sepulchre
Traversing Time with Multi-Resolution Gaussian Process State-Space Models
Krista Longi, Jakob Lindinger, Olaf Duennbier et al.
ValueNetQP: Learned One-step Optimal Control for Legged Locomotion
Julian Viereck, Avadesh Meduri, Ludovic Righetti
Vision-based System Identification and 3D Keypoint Discovery using Dynamics Constraints
Miguel Jaques, Martin Asenov, Michael Burke et al.
Abstraction-based branch and bound approach to Q-learning for hybrid optimal control
Benoît Legat, Raphaël M. Jungers, Jean Bouchat
Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs
Daniel E. Ochoa, Jorge I. Poveda, Anantharam Subbaraman et al.
Accelerated Learning with Robustness to Adversarial Regressors
Joseph E. Gaudio, Anuradha M. Annaswamy, José M. Moreu et al.
Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning
Kushal Chakrabarti, Nirupam Gupta, Nikhil Chopra
Adaptive Risk Sensitive Model Predictive Control with Stochastic Search
Ziyi Wang, Oswin So, Keuntaek Lee et al.
Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach
Dhruva Kartik, Neeraj Sood, Urbashi Mitra et al.