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Safe Model-based Reinforcement Learning with Stability Guarantees

23 May 2017

Papers citing "Safe Model-based Reinforcement Learning with Stability Guarantees"

50 / 471 papers shown

Title
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu Wei Xu Haichao Zhang OffRL 187 31 0 28 Jan 2022
Joint Differentiable Optimization and Verification for Certified Reinforcement Learning Yixuan Wang S. Zhan Zhilu Wang Chao Huang Zhaoran Wang Zhuoran Yang Qi Zhu 76 23 0 28 Jan 2022
Visualizing the Diversity of Representations Learned by Bayesian Neural Networks Dennis Grinwald Kirill Bykov Shinichi Nakajima Marina M.-C. Höhne 150 5 0 26 Jan 2022
Constrained Policy Optimization via Bayesian World Models Yarden As Ilnura N. Usmanova Sebastian Curi Andreas Krause OffRL 170 60 0 24 Jan 2022
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective Ryan K. Tan Yang Liu Lei Xie 162 2 0 21 Jan 2022
Safe Deep RL in 3D Environments using Human Feedback Matthew Rahtz Vikrant Varma Ramana Kumar Zachary Kenton Shane Legg Jan Leike 122 4 0 20 Jan 2022
Formal Verification of Unknown Dynamical Systems via Gaussian Process Regression John Jackson Luca Laurenti Eric Frew Morteza Lahijanian 97 18 0 31 Dec 2021
Safe Reinforcement Learning with Chance-constrained Model Predictive Control Samuel Pfrommer Tanmay Gautam Alec Zhou Somayeh Sojoudi 114 29 0 27 Dec 2021
ProBF: Learning Probabilistic Safety Certificates with Barrier Functions Athindran Ramesh Kumar Sulin Liu J. F. Fisac Ryan P. Adams Peter J. Ramadge 99 4 0 22 Dec 2021
Model-Based Safe Reinforcement Learning with Time-Varying State and Control Constraints: An Application to Intelligent Vehicles Xinglong Zhang Yaoqian Peng Biao Luo Wei Pan Xin Xu Haibin Xie 92 16 0 18 Dec 2021
Stability Verification in Stochastic Control Systems via Neural Network Supermartingales Mathias Lechner Dorde Zikelic K. Chatterjee T. Henzinger 114 37 0 17 Dec 2021
Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach Luca Furieri C. Galimberti M. Zakwan Giancarlo Ferrari-Trecate 110 22 0 16 Dec 2021
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning Yecheng Jason Ma Andrew Shen Osbert Bastani Dinesh Jayaraman 81 26 0 14 Dec 2021
Cooperation for Scalable Supervision of Autonomy in Mixed Traffic Cameron Hickert Sirui Li Cathy Wu 92 8 0 14 Dec 2021
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation Volodymyr Kuleshov Shachi Deshpande UQCV BDL 557 34 0 14 Dec 2021
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control F. D. Lellis M. Coraggio G. Russo Mirco Musolesi M. D. Bernardo 92 7 0 11 Dec 2021
Learning Contraction Policies from Offline Data Navid Rezazadeh Maxwell Kolarich Solmaz S. Kia Negar Mehr OffRL 93 7 0 11 Dec 2021
Learning over All Stabilizing Nonlinear Controllers for a Partially-Observed Linear System Ruigang Wang Nicholas H. Barbara Max Revay I. Manchester 115 20 0 08 Dec 2021
MESA: Offline Meta-RL for Safe Adaptation and Fault Tolerance Michael Luo Ashwin Balakrishna Brijen Thananjeyan Suraj Nair Julian Ibarz Jie Tan Chelsea Finn Ion Stoica Ken Goldberg OffRL 113 5 0 07 Dec 2021
Youla-REN: Learning Nonlinear Feedback Policies with Robust Stability Guarantees Ruigang Wang I. Manchester 92 13 0 02 Dec 2021
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey M. Askarpour Alan Wassyng M. Lawford R. Paige Z. Diskin 100 0 0 29 Nov 2021
Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning Haitong Ma Changliu Liu Shengbo Eben Li Sifa Zheng Wen Sun Jianyu Chen 113 11 0 25 Nov 2021
A note on stabilizing reinforcement learning Pavel Osinenko Grigory Yaremenko Ilya Osokin 75 2 0 24 Nov 2021
Learning To Estimate Regions Of Attraction Of Autonomous Dynamical Systems Using Physics-Informed Neural Networks Cody Scharzenberger Joe Hays 91 3 0 18 Nov 2021
Explicit Explore, Exploit, or Escape ( $E^4$ ): near-optimal safety-constrained reinforcement learning in polynomial time David M. Bossens Nick Bishop 169 8 0 14 Nov 2021
Risk Sensitive Model-Based Reinforcement Learning using Uncertainty Guided Planning Stefan Radic Webster Peter A. Flach 114 3 0 09 Nov 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations Akifumi Wachi Yunyue Wei Yanan Sui OffRL 122 11 0 09 Nov 2021
Infinite Time Horizon Safety of Bayesian Neural Networks Mathias Lechner Dorde Zikelic K. Chatterjee T. Henzinger 101 18 0 04 Nov 2021
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael Bowling 154 3 0 29 Oct 2021
DESTA: A Framework for Safe Reinforcement Learning with Markov Games of Intervention D. Mguni Usman Islam Taher Jafferjee Xiuling Zhang Joel Jennings Aivar Sootla Changmin Yu Ziyan Wang Jun Wang Yaodong Yang OffRL 142 8 0 27 Oct 2021
Sampling-Based Robust Control of Autonomous Systems with Non-Gaussian Noise Heinke Hihn Alessandro Abate Nils Jansen David Parker Hasan A. Poonawala Marielle Stoelinga 118 29 0 25 Oct 2021
Coarse-Grained Smoothness for RL in Metric Spaces Giorgio Giannone Kavosh Asadi Cameron Allen Sam Lobel George Konidaris Michael Littman 123 3 0 23 Oct 2021
Auditing Robot Learning for Safety and Compliance during Deployment Homanga Bharadhwaj 69 5 0 12 Oct 2021
Safe Reinforcement Learning Using Robust Control Barrier Functions Y. Emam Gennaro Notomista Paul Glotfelter Z. Kira M. Egerstedt OffRL 116 53 0 11 Oct 2021
Continuous-Time Fitted Value Iteration for Robust Policies M. Lutter Boris Belousov Shie Mannor Dieter Fox Animesh Garg Jan Peters 119 9 0 05 Oct 2021
Explanation-Aware Experience Replay in Rule-Dense Environments Francesco Sovrano Alex Raymond Amanda Prorok 80 10 0 29 Sep 2021
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning Hao-Lun Hsu Qiuhua Huang Sehoon Ha OffRL 123 13 0 29 Sep 2021
RMPs for Safe Impedance Control in Contact-Rich Manipulation S. Shaw Ben Abbatematteo George Konidaris 124 13 0 24 Sep 2021
Risk-averse autonomous systems: A brief history and recent developments from the perspective of optimal control Yuheng Wang Margaret P. Chapman 187 37 0 18 Sep 2021
DROMO: Distributionally Robust Offline Model-based Policy Optimization Ruizhen Liu Dazhi Zhong Zhi-Cong Chen OffRL 107 3 0 15 Sep 2021
Reactive and Safe Road User Simulations using Neural Barrier Certificates Yue Meng Zengyi Qin Chuchu Fan 149 20 0 14 Sep 2021
Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems through Probabilistic Model Checking Yizhen Dong Xingyu Zhao Xiaowei Huang 131 7 0 14 Sep 2021
Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning Zhehua Zhou Ozgur S. Oguz Yi Ren M. Leibold M. Buss OffRL 63 0 0 10 Sep 2021
Recurrent Neural Network Controllers Synthesis with Stability Guarantees for Partially Observed Systems Fangda Gu He Yin L. Ghaoui Murat Arcak Peter M. Seiler Ming Jin 97 29 0 08 Sep 2021
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications A. Capone Armin Lederer Sandra Hirche 104 22 0 06 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable Policies Dweep Trivedi Jesse Zhang Shao-Hua Sun Joseph J. Lim NAI 167 80 0 31 Aug 2021
A generalized stacked reinforcement learning method for sampled systems Pavel Osinenko D. Dobriborsci Grigory Yaremenko Georgiy Malaniya OffRL 53 4 0 23 Aug 2021
Efficient Anytime CLF Reactive Planning System for a Bipedal Robot on Undulating Terrain Jiunn-Kai Huang J. Grizzle 145 47 0 15 Aug 2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 149 714 0 13 Aug 2021
Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations Yuping Luo Tengyu Ma OffRL 153 46 0 04 Aug 2021