Safe Model-based Reinforcement Learning with Stability Guarantees

23 May 2017

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

44 / 194 papers shown

Title
Learning to Walk in the Real World with Minimal Human Effort Sehoon Ha P. Xu Zhenyu Tan Sergey Levine Jie Tan 31 169 0 20 Feb 2020
Representation of Reinforcement Learning Policies in Reproducing Kernel Hilbert Spaces Bogdan Mazoure T. Doan Tianyu Li V. Makarenkov Joelle Pineau Doina Precup Guillaume Rabusseau OffRL 21 1 0 07 Feb 2020
Deep Learning Tubes for Tube MPC David D. Fan Ali-akbar Agha-mohammadi Evangelos A. Theodorou 35 57 0 05 Feb 2020
Constrained Upper Confidence Reinforcement Learning Liyuan Zheng Lillian J. Ratliff 36 67 0 26 Jan 2020
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction Sangdon Park Osbert Bastani Nikolai Matni Insup Lee UQCV 149 68 0 31 Dec 2019
Probabilistic Safety Constraints for Learned High Relative Degree System Dynamics M. J. Khojasteh Vikas Dhiman M. Franceschetti Nikolay Atanasov 41 73 0 20 Dec 2019
Learning for Safety-Critical Control with Control Barrier Functions Andrew J. Taylor Andrew W. Singletary Yisong Yue Aaron D. Ames 28 237 0 20 Dec 2019
Driving Reinforcement Learning with Models Meghana Rathi P. Ferraro G. Russo 15 10 0 11 Nov 2019
Fully Bayesian Recurrent Neural Networks for Safe Reinforcement Learning Matthew Benatan Edward O. Pyzer-Knapp BDL 24 6 0 08 Nov 2019
Safe Exploration for Interactive Machine Learning M. Turchetta Felix Berkenkamp Andreas Krause 22 87 0 30 Oct 2019
Convergent Policy Optimization for Safe Reinforcement Learning Ming Yu Zhuoran Yang Mladen Kolar Zhaoran Wang 18 91 0 26 Oct 2019
$Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence$ Policy Optimization for $\mathcal{H}_2$ Linear Control with $\mathcal{H}_\infty$ Robustness Guarantee: Implicit Regularization and Global Convergence Kaipeng Zhang Bin Hu Tamer Basar 26 119 0 21 Oct 2019
Bayesian Learning-Based Adaptive Control for Safety Critical Systems David D. Fan Jennifer Nguyen Rohan Thakker Nikhilesh Alatur Ali-akbar Agha-mohammadi Evangelos A. Theodorou BDL 39 84 0 05 Oct 2019
Neural Simplex Architecture Dung Phan Radu Grosu N. Jansen Nicola Paoletti S. Smolka Scott D. Stoller 30 61 0 01 Aug 2019
Learning Stabilizable Nonlinear Dynamics with Contraction-Based Regularization Sumeet Singh Spencer M. Richards Vikas Sindhwani Jean-Jacques E. Slotine Marco Pavone 40 74 0 29 Jul 2019
Variance-Based Risk Estimations in Markov Processes via Transformation with State Lumping Shuai Ma Jia Yuan Yu OffRL 14 0 0 09 Jul 2019
Robust Regression for Safe Exploration in Control Anqi Liu Guanya Shi Soon-Jo Chung Anima Anandkumar Yisong Yue 24 59 0 13 Jun 2019
Robust exploration in linear quadratic reinforcement learning Jack Umenberger Mina Ferizbegovic Thomas B. Schon H. Hjalmarsson 23 38 0 04 Jun 2019
Combating the Compounding-Error Problem with a Multi-step Model Kavosh Asadi Dipendra Kumar Misra Seungchan Kim Michel L. Littman LRM 16 55 0 30 May 2019
An Efficient Reachability-Based Framework for Provably Safe Autonomous Navigation in Unknown Environments Andrea V. Bajcsy Somil Bansal Eli Bronstein Varun Tolani Claire Tomlin 20 88 0 01 May 2019
End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks Richard Cheng G. Orosz R. Murray J. W. Burdick 31 607 0 21 Mar 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
Conservative Agency via Attainable Utility Preservation Alexander Matt Turner Dylan Hadfield-Menell Prasad Tadepalli 30 49 0 26 Feb 2019
Lyapunov-based Safe Policy Optimization for Continuous Control Yinlam Chow Ofir Nachum Aleksandra Faust Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 33 244 0 28 Jan 2019
Learning Nonlinear State Space Models with Hamiltonian Sequential Monte Carlo Sampler Duo Xu 29 2 0 03 Jan 2019
Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures Junhui Yin Jiayan Qiu Csaba Szepesvári Siqing Zhang Avraham Ruderman Jiyang Xie Krishnamurthy Dvijotham Zhanyu Ma N. Heess Pushmeet Kohli AAML 15 80 0 04 Dec 2018
Neural Lander: Stable Drone Landing Control using Learned Dynamics Guanya Shi Xichen Shi Michael O'Connell Rose Yu Kamyar Azizzadenesheli Anima Anandkumar Yisong Yue Soon-Jo Chung 27 272 0 19 Nov 2018
Stability-certified reinforcement learning: A control-theoretic perspective Ming Jin Javad Lavaei 33 85 0 26 Oct 2018
Safely Learning to Control the Constrained Linear Quadratic Regulator Sarah Dean Stephen Tu Nikolai Matni Benjamin Recht 15 138 0 26 Sep 2018
Meta-Learning Priors for Efficient Online Bayesian Regression James Harrison Apoorva Sharma Marco Pavone BDL 29 99 0 24 Jul 2018
Uncertainty in Multitask Transfer Learning Alexandre Lacoste Boris N. Oreshkin Wonchang Chung Thomas Boquet Negar Rostamzadeh David M. Krueger BDL UQCV SSL 24 21 0 20 Jun 2018
Learning convex bounds for linear quadratic control policy synthesis Jack Umenberger Thomas B. Schon 29 12 0 01 Jun 2018
Verifiable Reinforcement Learning via Policy Extraction Osbert Bastani Yewen Pu Armando Solar-Lezama OffRL 26 329 0 22 May 2018
A Lyapunov-based Approach to Safe Reinforcement Learning Yinlam Chow Ofir Nachum Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 60 501 0 20 May 2018
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations Mark Pfeiffer Samarth Shukla M. Turchetta Cesar Cadena Andreas Krause Roland Siegwart Juan I. Nieto 27 157 0 18 May 2018
Lipschitz Continuity in Model-based Reinforcement Learning Kavosh Asadi Dipendra Kumar Misra Michael L. Littman KELM 43 150 0 19 Apr 2018
Verifying Controllers Against Adversarial Examples with Bayesian Optimization Shromona Ghosh Felix Berkenkamp G. Ranade S. Qadeer Ashish Kapoor AAML 33 45 0 23 Feb 2018
Barrier-Certified Adaptive Reinforcement Learning with Applications to Brushbot Navigation Motoya Ohnishi Li Wang Gennaro Notomista M. Egerstedt 26 69 0 29 Jan 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 19 431 0 26 Jan 2018
A General Safety Framework for Learning-Based Control in Uncertain Robotic Systems J. F. Fisac Anayo K. Akametalu Melanie Zeilinger Shahab Kaynama J. Gillula Claire Tomlin 22 491 0 03 May 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 106 1,505 0 25 Jan 2017
Adaptive Design of Experiments for Conservative Estimation of Excursion Sets Dario Azzimonti D. Ginsbourger C. Chevalier Julien Bect Y. Richet 29 43 0 22 Nov 2016
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics Felix Berkenkamp Andreas Krause Angela P. Schoellig 48 276 0 14 Feb 2016
Safe Exploration in Markov Decision Processes T. Moldovan Pieter Abbeel 80 308 0 22 May 2012