Safe Model-based Reinforcement Learning with Stability Guarantees

23 May 2017

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

50 / 194 papers shown

Title
Measuring Interventional Robustness in Reinforcement Learning Katherine Avery Jack Kenney Pracheta Amaranath Erica Cai David D. Jensen 21 0 0 19 Sep 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo Li Ding Zhao 79 45 0 16 Sep 2022
Example When Local Optimal Policies Contain Unstable Control B. Song Jean-Jacques E. Slotine Quang Pham 51 1 0 15 Sep 2022
A stabilizing reinforcement learning approach for sampled systems with partially unknown models Lukas Beckenbach Pavel Osinenko S. Streif OffRL 31 1 0 31 Aug 2022
Recursively Feasible Probabilistic Safe Online Learning with Control Barrier Functions F. Castañeda Jason J. Choi Wonsuhk Jung Bike Zhang Claire Tomlin Koushil Sreenath 48 6 0 23 Aug 2022
Sample-efficient Safe Learning for Online Nonlinear Control with Control Barrier Functions Wenhao Luo Wen Sun Ashish Kapoor OffRL 48 9 0 29 Jul 2022
Lipschitz Bound Analysis of Neural Networks S. Bose AAML 42 0 0 14 Jul 2022
Compactly Restrictable Metric Policy Optimization Problems Victor D. Dorobantu Kamyar Azizzadenesheli Yisong Yue 11 0 0 12 Jul 2022
Offline Policy Optimization with Eligible Actions Yao Liu Yannis Flet-Berliac Emma Brunskill OffRL 31 5 0 01 Jul 2022
Barrier Certified Safety Learning Control: When Sum-of-Square Programming Meets Reinforcement Learning He-lu Huang Zerui Li Dongkun Han 40 2 0 16 Jun 2022
Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees Rui Zhou Thanin Quartz H. Sterck Jun Liu 27 47 0 04 Jun 2022
On the Robustness of Safe Reinforcement Learning under Observational Perturbations Zuxin Liu Zijian Guo Zhepeng Cen Huan Zhang Jie Tan Bo Li Ding Zhao OOD OffRL 48 36 0 29 May 2022
Learning Stabilizing Policies in Stochastic Control Systems Dorde Zikelic Mathias Lechner K. Chatterjee T. Henzinger 31 3 0 24 May 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 117 241 0 20 May 2022
Efficient and practical quantum compiler towards multi-qubit systems with deep reinforcement learning Qiuhao Chen Yuxuan Du Qi Zhao Yuliang Jiao Xiliang Lu Xingyao Wu 23 12 0 14 Apr 2022
Verification of safety critical control policies using kernel methods Nikolaus Vertovec Sina Ober-Blobaum Kostas Margellos 26 2 0 23 Mar 2022
Graph Neural Networks for Relational Inductive Bias in Vision-based Deep Reinforcement Learning of Robot Control Marco Oliva Soubarna Banik Josip Josifovski Alois Knoll 37 5 0 11 Mar 2022
Safe Reinforcement Learning for Legged Locomotion Tsung-Yen Yang Tingnan Zhang Linda Luu Sehoon Ha Jie Tan Wenhao Yu 34 40 0 05 Mar 2022
Neural-Progressive Hedging: Enforcing Constraints in Reinforcement Learning with Stochastic Programming Supriyo Ghosh L. Wynter Shiau Hong Lim D. Nguyen 34 0 0 27 Feb 2022
Safe Control with Learned Certificates: A Survey of Neural Lyapunov, Barrier, and Contraction methods Charles Dawson Sicun Gao Chuchu Fan 46 232 0 23 Feb 2022
Accelerating Primal-dual Methods for Regularized Markov Decision Processes Haoya Li Hsiang-Fu Yu Lexing Ying Inderjit Dhillon 39 4 0 21 Feb 2022
TransDreamer: Reinforcement Learning with Transformer World Models Changgu Chen Yi-Fu Wu Jaesik Yoon Sungjin Ahn OffRL 37 91 0 19 Feb 2022
Saute RL: Almost Surely Safe Reinforcement Learning Using State Augmentation Aivar Sootla Alexander I. Cowen-Rivers Taher Jafferjee Ziyan Wang D. Mguni Jun Wang Haitham Bou-Ammar 37 54 0 14 Feb 2022
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition Dylan Slack Yinlam Chow Bo Dai Nevan Wichers OffRL 40 7 0 10 Feb 2022
Data-Driven Chance Constrained Control using Kernel Distribution Embeddings Adam J. Thorpe T. Lew Meeko Oishi Marco Pavone 35 21 0 08 Feb 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making Parnian Kassraie Jonas Rothfuss Andreas Krause OffRL 47 6 0 01 Feb 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu Wei Xu Haichao Zhang OffRL 71 31 0 28 Jan 2022
Reinforcement Learning for Personalized Drug Discovery and Design for Complex Diseases: A Systems Pharmacology Perspective Ryan K. Tan Yang Liu Lei Xie 49 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 37 4 0 20 Jan 2022
Safe Reinforcement Learning with Chance-constrained Model Predictive Control Samuel Pfrommer Tanmay Gautam Alec Zhou Somayeh Sojoudi 26 24 0 27 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 27 11 0 18 Dec 2021
Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach Luca Furieri C. Galimberti M. Zakwan Giancarlo Ferrari-Trecate 34 20 0 16 Dec 2021
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning Yecheng Jason Ma Andrew Shen Osbert Bastani Dinesh Jayaraman 18 25 0 14 Dec 2021
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation Volodymyr Kuleshov Shachi Deshpande UQCV BDL 40 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 21 7 0 11 Dec 2021
Learning Contraction Policies from Offline Data Navid Rezazadeh Maxwell Kolarich Solmaz S. Kia Negar Mehr OffRL 29 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 25 16 0 08 Dec 2021
Is the Rush to Machine Learning Jeopardizing Safety? Results of a Survey M. Askarpour Alan Wassyng M. Lawford R. Paige Z. Diskin 27 0 0 29 Nov 2021
A note on stabilizing reinforcement learning Pavel Osinenko Grigory Yaremenko Ilya Osokin 19 2 0 24 Nov 2021
Learning To Estimate Regions Of Attraction Of Autonomous Dynamical Systems Using Physics-Informed Neural Networks Cody Scharzenberger Joe Hays 40 3 0 18 Nov 2021
Safe Policy Optimization with Local Generalized Linear Function Approximations Akifumi Wachi Yunyue Wei Yanan Sui OffRL 35 10 0 09 Nov 2021
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael Bowling 18 3 0 29 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 27 27 0 25 Oct 2021
Coarse-Grained Smoothness for RL in Metric Spaces Giorgio Giannone Kavosh Asadi Cameron Allen Sam Lobel George Konidaris Michael Littman 47 3 0 23 Oct 2021
Safe Reinforcement Learning Using Robust Control Barrier Functions Y. Emam Gennaro Notomista Paul Glotfelter Z. Kira M. Egerstedt OffRL 24 39 0 11 Oct 2021
Continuous-Time Fitted Value Iteration for Robust Policies M. Lutter Boris Belousov Shie Mannor Dieter Fox Animesh Garg Jan Peters 15 9 0 05 Oct 2021
Improving Safety in Deep Reinforcement Learning using Unsupervised Action Planning Hao-Lun Hsu Qiuhua Huang Sehoon Ha OffRL 44 11 0 29 Sep 2021
RMPs for Safe Impedance Control in Contact-Rich Manipulation S. Shaw Ben Abbatematteo George Konidaris 26 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 43 34 0 18 Sep 2021
Reactive and Safe Road User Simulations using Neural Barrier Certificates Yue Meng Zengyi Qin Chuchu Fan 40 20 0 14 Sep 2021