Robust Regression for Safe Exploration in Control

13 June 2019

Papers citing "Robust Regression for Safe Exploration in Control"

43 / 43 papers shown

Title
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits Yi Guo Hao Liu Yisong Yue Anqi Liu OffRL 24 1 0 21 Jan 2024
Automatic Optimisation of Normalised Neural Networks Namhoon Cho Hyo-Sang Shin 43 1 0 17 Dec 2023
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees Dorde Zikelic Mathias Lechner Abhinav Verma K. Chatterjee T. Henzinger 38 10 0 03 Dec 2023
Safe Deep Policy Adaptation Wenli Xiao Tairan He John M. Dolan Guanya Shi 32 9 0 08 Oct 2023
Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version) Xiaotong Ji Antonio Filieri OffRL 22 1 0 10 Jul 2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning Shengbo Wang Ke Li Yin Yang Yuting Cao Tingwen Huang S. Wen 27 4 0 03 Jul 2023
How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations Franck Djeumou Cyrus Neary Ufuk Topcu DiffM 34 8 0 10 Jun 2023
ConBaT: Control Barrier Transformer for Safe Policy Learning Yue Meng Sai H. Vemprala Rogerio Bonatti Chuchu Fan Ashish Kapoor OffRL 45 3 0 07 Mar 2023
Deep Model Predictive Control Prabhat Kumar Mishra M. V. Gasparino A. E. B. Velasquez Girish Chowdhary 16 0 0 27 Feb 2023
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors Shangding Gu Alap Kshirsagar Yali Du Guang Chen Jan Peters Alois C. Knoll 39 14 0 25 Feb 2023
Learning Control Policies for Stochastic Systems with Reach-avoid Guarantees Dorde Zikelic Mathias Lechner T. Henzinger K. Chatterjee 24 22 0 11 Oct 2022
Learning Provably Stabilizing Neural Controllers for Discrete-Time Stochastic Systems Matin Ansaripour K. Chatterjee T. Henzinger Mathias Lechner Dorde Zikelic 40 5 0 11 Oct 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks Xiaowu Sun Yasser Shoukry 48 11 0 11 Oct 2022
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds Michael O'Connell Guanya Shi Xichen Shi Kamyar Azizzadenesheli Anima Anandkumar Yisong Yue Soon-Jo Chung 81 171 0 13 May 2022
Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees Kai Hsu Allen Z. Ren D. Nguyen Anirudha Majumdar J. F. Fisac OffRL 26 41 0 20 Jan 2022
Stability Verification in Stochastic Control Systems via Neural Network Supermartingales Mathias Lechner Dorde Zikelic K. Chatterjee T. Henzinger 21 31 0 17 Dec 2021
Safe Nonlinear Control Using Robust Neural Lyapunov-Barrier Functions Charles Dawson Zengyi Qin Sicun Gao Chuchu Fan 120 173 0 14 Sep 2021
Reactive and Safe Road User Simulations using Neural Barrier Certificates Yue Meng Zengyi Qin Chuchu Fan 40 20 0 14 Sep 2021
Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics Ya-Chien Chang Sicun Gao 18 57 0 11 Jul 2021
Meta-Adaptive Nonlinear Control: Theory and Algorithms Guanya Shi Kamyar Azizzadenesheli Michael O'Connell Soon-Jo Chung Yisong Yue 29 41 0 11 Jun 2021
Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric Dawei Sun M. J. Khojasteh S. Shekhar Chuchu Fan 8 2 0 13 May 2021
Learning to Control an Unstable System with One Minute of Data: Leveraging Gaussian Process Differentiation in Predictive Control I. D. Rodriguez Ugo Rosolia Aaron D. Ames Yisong Yue 25 2 0 08 Mar 2021
Limits of Probabilistic Safety Guarantees when Considering Human Uncertainty Richard Cheng R. Murray J. W. Burdick 39 6 0 05 Mar 2021
Minimax Model Learning Cameron Voloshin Nan Jiang Yisong Yue OffRL 14 18 0 02 Mar 2021
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization Jyun-Li Lin Wei-Ting Hung Shangtong Yang Ping-Chun Hsieh Xi Liu 30 14 0 22 Feb 2021
Provably Correct Training of Neural Network Controllers Using Reachability Analysis Xiaowu Sun Yasser Shoukry 22 7 0 22 Feb 2021
Control Barriers in Bayesian Learning of System Dynamics Vikas Dhiman M. J. Khojasteh M. Franceschetti Nikolay Atanasov 26 65 0 29 Dec 2020
Neural-Swarm2: Planning and Control of Heterogeneous Multirotor Swarms using Learned Interactions Guanya Shi Wolfgang Hönig Xichen Shi Yisong Yue Soon-Jo Chung 29 70 0 10 Dec 2020
Learning Certified Control using Contraction Metric Dawei Sun Susmit Jha Chuchu Fan 24 74 0 25 Nov 2020
Conservative Safety Critics for Exploration Homanga Bharadhwaj Aviral Kumar Nicholas Rhinehart Sergey Levine Florian Shkurti Animesh Garg OffRL 20 137 0 27 Oct 2020
Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach Haoxu Wang Zhiding Yu Yisong Yue Anima Anandkumar Anqi Liu Junchi Yan OOD UQCV 13 4 0 08 Oct 2020
Deep Learning based Uncertainty Decomposition for Real-time Control Neha Das Jonas Umlauft Armin Lederer Thomas Beckers Sandra Hirche UD 10 0 0 06 Oct 2020
Certainty Equivalent Perception-Based Control Sarah Dean Benjamin Recht 8 28 0 27 Aug 2020
ShieldNN: A Provably Safe NN Filter for Unsafe NN Controllers James Ferlez Mahmoud M. Elnaggar Yasser Shoukry C. Fleming AAML 62 33 0 16 Jun 2020
Chance-Constrained Trajectory Optimization for Safe Exploration and Learning of Nonlinear Systems Yashwanth Kumar Nakka Anqi Liu Guanya Shi Anima Anandkumar Yisong Yue Soon-Jo Chung 30 49 0 09 May 2020
Regret Bounds for Safe Gaussian Process Bandit Optimization Sanae Amani M. Alizadeh Christos Thrampoulidis 8 11 0 05 May 2020
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions Guanya Shi Wolfgang Hönig Yisong Yue Soon-Jo Chung 63 65 0 06 Mar 2020
Online Optimization with Memory and Competitive Control Guanya Shi Yiheng Lin Soon-Jo Chung Yisong Yue Adam Wierman 6 4 0 13 Feb 2020
Deep Learning Tubes for Tube MPC David D. Fan Ali-akbar Agha-mohammadi Evangelos A. Theodorou 30 57 0 05 Feb 2020
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics M. J. Khojasteh Vikas Dhiman M. Franceschetti Nikolay Atanasov 36 73 0 20 Dec 2019
Triply Robust Off-Policy Evaluation Anqi Liu Hao Liu Anima Anandkumar Yisong Yue OffRL 14 10 0 13 Nov 2019
Episodic Learning with Control Lyapunov Functions for Uncertain Robotic Systems Andrew J. Taylor Victor D. Dorobantu Hoang Minh Le Yisong Yue Aaron D. Ames 117 78 0 04 Mar 2019
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 78 308 0 22 May 2012