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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"

21 / 471 papers shown

Title
Verifiable Reinforcement Learning via Policy Extraction Osbert Bastani Yewen Pu Armando Solar-Lezama OffRL 235 355 0 22 May 2018
Online Learning in Kernelized Markov Decision Processes Sayak Ray Chowdhury Aditya Gopalan OffRL 107 3 0 21 May 2018
A Lyapunov-based Approach to Safe Reinforcement Learning Yinlam Chow Ofir Nachum Edgar A. Duénez-Guzmán Mohammad Ghavamzadeh 211 544 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 115 164 0 18 May 2018
Lipschitz Continuity in Model-based Reinforcement Learning Kavosh Asadi Dipendra Kumar Misra Michael L. Littman KELM 187 158 0 19 Apr 2018
State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning Shuai Ma Jia Yuan Yu 37 6 0 16 Apr 2018
Neuronal Circuit Policies Mathias Lechner Ramin M. Hasani Radu Grosu 54 10 0 22 Mar 2018
Learning-based Model Predictive Control for Safe Exploration Torsten Koller Felix Berkenkamp M. Turchetta Andreas Krause 166 393 0 22 Mar 2018
Learning with Abandonment Ramesh Johari S. Schmit 49 10 0 23 Feb 2018
Verifying Controllers Against Adversarial Examples with Bayesian Optimization Shromona Ghosh Felix Berkenkamp G. Ranade S. Qadeer Ashish Kapoor AAML 120 45 0 23 Feb 2018
Barrier-Certified Adaptive Reinforcement Learning with Applications to Brushbot Navigation Motoya Ohnishi Li Wang Gennaro Notomista M. Egerstedt 137 76 0 29 Jan 2018
Safe Exploration in Continuous Action Spaces Gal Dalal Krishnamurthy Dvijotham Matej Vecerík Todd Hester Cosmin Paduraru Yuval Tassa 109 461 0 26 Jan 2018
Safe Policy Improvement with Baseline Bootstrapping Romain Laroche P. Trichelair Rémi Tachet des Combes OffRL 291 207 0 19 Dec 2017
Scalable synthesis of safety certificates from data with application to learning-based control K. P. Wabersich Melanie Zeilinger 103 32 0 30 Nov 2017
Safe Exploration for Identifying Linear Systems via Robust Optimization Tyler Lu Martin A. Zinkevich Craig Boutilier Binz Roy Dale Schuurmans 53 6 0 30 Nov 2017
Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning Stefan Depeweg José Miguel Hernández-Lobato Finale Doshi-Velez Steffen Udluft UQCV PER BDL UD 139 27 0 19 Oct 2017
Safe Learning of Quadrotor Dynamics Using Barrier Certificates Li Wang Evangelos A. Theodorou M. Egerstedt 88 199 0 16 Oct 2017
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 204 516 0 03 May 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 481 1,613 0 25 Jan 2017
Adaptive Design of Experiments for Conservative Estimation of Excursion Sets Dario Azzimonti D. Ginsbourger C. Chevalier Julien Bect Y. Richet 286 45 0 22 Nov 2016
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics Felix Berkenkamp Andreas Krause Angela P. Schoellig 319 303 0 14 Feb 2016