v1v2v3 (latest)

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
MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning Wanpeng Zhang Xi Xiao Yaowen Yao Mingzhe Chen Dijun Luo OffRL 76 1 0 03 Aug 2021
Active Learning in Gaussian Process State Space Model H. Yu Dingling Yao Christoph Zimmer Marc Toussaint D. Nguyen-Tuong GP 91 4 0 30 Jul 2021
Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 131 31 0 27 Jul 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 252 77 0 26 Jul 2021
Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach B. Varga Balázs Kulcsár M. Chehreghani 159 1 0 19 Jul 2021
Stabilizing Neural Control Using Self-Learned Almost Lyapunov Critics Ya-Chien Chang Sicun Gao 115 65 0 11 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 323 1,328 0 07 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 138 6 0 07 Jul 2021
Active Learning in Robotics: A Review of Control Principles Annalisa T. Taylor Thomas A. Berrueta Todd Murphey 141 83 0 25 Jun 2021
Uncertainty-Aware Model-Based Reinforcement Learning with Application to Autonomous Driving Jingda Wu Zhiyu Huang Chen Lv 99 7 0 23 Jun 2021
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models Lenart Treven Philippe Wenk Florian Dorfler Andreas Krause OOD 97 2 0 22 Jun 2021
Safe Reinforcement Learning Using Advantage-Based Intervention Nolan Wagener Byron Boots Ching-An Cheng 183 57 0 16 Jun 2021
Safe Reinforcement Learning with Linear Function Approximation Sanae Amani Christos Thrampoulidis Lin F. Yang 119 36 0 11 Jun 2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs Tao-Wen Liu Ruida Zhou D. Kalathil P. R. Kumar Chao Tian 213 88 0 04 Jun 2021
Safe Pontryagin Differentiable Programming Wanxin Jin Shaoshuai Mou George J. Pappas 126 48 0 31 May 2021
GoSafe: Globally Optimal Safe Robot Learning Dominik Baumann A. Marco M. Turchetta Sebastian Trimpe 72 38 0 27 May 2021
Robust Value Iteration for Continuous Control Tasks M. Lutter Shie Mannor Jan Peters Dieter Fox Animesh Garg 100 19 0 25 May 2021
Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization Bingqing Chen Neural Network Kyri Baker J. Zico Kolter Mario Berges 100 62 0 19 May 2021
Learning to Act Safely with Limited Exposure and Almost Sure Certainty Agustin Castellano Hancheng Min J. Bazerque Enrique Mallada 124 4 0 18 May 2021
Online Algorithms and Policies Using Adaptive and Machine Learning Approaches Anuradha M. Annaswamy A. Guha Yingnan Cui Sunbochen Tang Peter A. Fisher Joseph E. Gaudio 155 27 0 13 May 2021
Uncertainty-aware Safe Exploratory Planning using Gaussian Process and Neural Control Contraction Metric Dawei Sun M. J. Khojasteh S. Shekhar Chuchu Fan 108 2 0 13 May 2021
Value Iteration in Continuous Actions, States and Time M. Lutter Shie Mannor Jan Peters Dieter Fox Animesh Garg 78 39 0 10 May 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression Christian Fiedler C. Scherer Sebastian Trimpe GP 120 77 0 06 May 2021
Symbolic Abstractions From Data: A PAC Learning Approach Alex Devonport Adnane Saoud Murat Arcak 62 30 0 28 Apr 2021
Safe Chance Constrained Reinforcement Learning for Batch Process Control M. Mowbray Panagiotis Petsagkourakis Ehecatl Antonio del Rio Chanona Dongda Zhang OffRL 117 42 0 23 Apr 2021
Scalable Synthesis of Verified Controllers in Deep Reinforcement Learning Zikang Xiong Suresh Jagannathan 102 6 0 20 Apr 2021
Model-predictive control and reinforcement learning in multi-energy system case studies Glenn Ceusters Román Cantú Rodríguez A. García R. Franke Geert Deconinck L. Helsen Ann Nowé M. Messagie L. R. Camargo 98 96 0 20 Apr 2021
Data-Driven Robust Barrier Functions for Safe, Long-Term Operation Y. Emam Paul Glotfelter S. Wilson Gennaro Notomista M. Egerstedt 106 27 0 15 Apr 2021
Safe Continuous Control with Constrained Model-Based Policy Optimization Moritz A. Zanger Karam Daaboul J. Marius Zöllner 113 23 0 14 Apr 2021
Learning Lipschitz Feedback Policies from Expert Demonstrations: Closed-Loop Guarantees, Generalization and Robustness Abed AlRahman Al Makdah Vishaal Krishnan Fabio Pasqualetti 53 0 0 30 Mar 2021
Learning Deep Energy Shaping Policies for Stability-Guaranteed Manipulation S. A. Khader Hang Yin Pietro Falco Danica Kragic 113 14 0 30 Mar 2021
Almost Surely Stable Deep Dynamics Nathan P. Lawrence Philip D. Loewen M. Forbes Johan U. Backstrom R. Bhushan Gopaluni BDL 97 22 0 26 Mar 2021
Lyapunov Barrier Policy Optimization Harshit S. Sikchi Wenxuan Zhou David Held 116 15 0 16 Mar 2021
Automatic Exploration Process Adjustment for Safe Reinforcement Learning with Joint Chance Constraint Satisfaction Y. Okawa Tomotake Sasaki Hidenao Iwane 29 4 0 05 Mar 2021
Enhancement for Robustness of Koopman Operator-based Data-driven Mobile Robotic Systems Lu Shi Konstantinos Karydis 113 11 0 01 Mar 2021
Safe Distributional Reinforcement Learning Jianyi Zhang Paul Weng OffRL 71 16 0 26 Feb 2021
Learning-based Robust Motion Planning with Guaranteed Stability: A Contraction Theory Approach Hiroyasu Tsukamoto Soon-Jo Chung OOD 152 37 0 25 Feb 2021
Safe Learning-based Gradient-free Model Predictive Control Based on Cross-entropy Method Lei Zheng Ruicong Yang Zhixuan Wu Jiesen Pan Hui Cheng 86 11 0 24 Feb 2021
Provably Correct Training of Neural Network Controllers Using Reachability Analysis Xiaowu Sun Yasser Shoukry 153 7 0 22 Feb 2021
Efficient Reinforcement Learning in Resource Allocation Problems Through Permutation Invariant Multi-task Learning D. Cai Shiau Hong Lim L. Wynter 137 4 0 18 Feb 2021
How RL Agents Behave When Their Actions Are Modified Eric D. Langlois Tom Everitt 107 16 0 15 Feb 2021
Stability-Constrained Markov Decision Processes Using MPC Mario Zanon S. Gros M. Palladino 48 14 0 02 Feb 2021
Model-Based Policy Search Using Monte Carlo Gradient Estimation with Real Systems Application Fabio Amadio Alberto Dalla Libera R. Antonello D. Nikovski R. Carli Diego Romeres 172 32 0 28 Jan 2021
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges Xin Chen Guannan Qu Yujie Tang S. Low Na Li 198 272 0 27 Jan 2021
Safe Learning Reference Governor: Theory and Application to Fuel Truck Rollover Avoidance Kaiwen Liu Nan I. Li Ilya Kolmanovsky Denise M. Rizzo Anouck Girard 57 9 0 22 Jan 2021
Scalable Learning of Safety Guarantees for Autonomous Systems using Hamilton-Jacobi ReachabilityIEEE International Conference on Robotics and Automation (ICRA), 2025 Sylvia Herbert Jason J. Choi Suvansh Qazi Marsalis T. Gibson Koushil Sreenath Claire Tomlin 135 40 0 15 Jan 2021
Optimal Energy Shaping via Neural Approximators Stefano Massaroli Michael Poli Federico Califano Jinkyoo Park Atsushi Yamashita Hajime Asama 62 15 0 14 Jan 2021
Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control Armin Lederer Jonas Umlauft Sandra Hirche 97 21 0 13 Jan 2021
Continuous Deep Q-Learning with Simulator for Stabilization of Uncertain Discrete-Time Systems Junya Ikemoto T. Ushio OffRL 109 5 0 13 Jan 2021
Control Barriers in Bayesian Learning of System Dynamics Vikas Dhiman M. J. Khojasteh M. Franceschetti Nikolay Atanasov 190 72 0 29 Dec 2020