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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
Learning for MPC with Stability & Safety Guarantees S. Gros Mario Zanon 175 43 0 14 Dec 2020
Tutoring Reinforcement Learning via Feedback Control F. D. Lellis G. Russo M. D. Bernardo 84 6 0 12 Dec 2020
Protective Policy Transfer Wenhao Yu Chenxi Liu Greg Turk AAML 142 2 0 11 Dec 2020
Safely Learning Dynamical Systems from Short TrajectoriesConference on Learning for Dynamics & Control (L4DC), 2025 Amir Ali Ahmadi A. Chaudhry Vikas Sindhwani Stephen Tu 87 5 0 24 Nov 2020
Towards Robust Data-Driven Control Synthesis for Nonlinear Systems with Actuation UncertaintyIEEE Conference on Decision and Control (CDC), 2024 Andrew J. Taylor Victor D. Dorobantu Sarah Dean Benjamin Recht Yisong Yue Aaron D. Ames 120 40 0 21 Nov 2020
Learning-based attacks in Cyber-Physical Systems: Exploration, Detection, and Control Cost trade-offsConference on Learning for Dynamics & Control (L4DC), 2025 A. Rangi M. J. Khojasteh M. Franceschetti AAML 161 10 0 21 Nov 2020
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty A. Guha Anuradha M. Annaswamy 75 12 0 20 Nov 2020
Reachability-based Trajectory Safeguard (RTS): A Safe and Fast Reinforcement Learning Safety Layer for Continuous Control Y. Shao Chao Chen Shreyas Kousik Ram Vasudevan 135 63 0 17 Nov 2020
Enforcing robust control guarantees within neural network policies P. Donti Melrose Roderick Mahyar Fazlyab J. Zico Kolter OOD 139 67 0 16 Nov 2020
Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics F. Castañeda Jason J. Choi Bike Zhang Claire Tomlin Koushil Sreenath 143 42 0 14 Nov 2020
Reinforcement Learning Control of Constrained Dynamic Systems with Uniformly Ultimate Boundedness Stability Guarantee Minghao Han Yuan Tian Lixian Zhang Jun Wang Wei Pan 100 55 0 13 Nov 2020
Model-based Reinforcement Learning from Signal Temporal Logic Specifications Parv Kapoor Anand Balakrishnan Jyotirmoy V. Deshmukh 107 22 0 10 Nov 2020
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks Julia Kreutzer Stefan Riezler Carolin (Haas) Lawrence RALM OffRL 116 16 0 04 Nov 2020
Exact Asymptotics for Linear Quadratic Adaptive Control Feicheng Wang Lucas Janson 50 13 0 02 Nov 2020
Learning When to Switch: Composing Controllers to Traverse a Sequence of Terrain Artifacts Brendan Tidd N. Hudson Akansel Cosgun Jurgen Leitner 129 4 0 01 Nov 2020
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones Brijen Thananjeyan Ashwin Balakrishna Suraj Nair Michael Luo K. Srinivasan M. Hwang Joseph E. Gonzalez Julian Ibarz Chelsea Finn Ken Goldberg OffRL 138 252 0 29 Oct 2020
Conservative Safety Critics for ExplorationInternational Conference on Learning Representations (ICLR), 2025 Homanga Bharadhwaj Aviral Kumar Nicholas Rhinehart Sergey Levine Florian Shkurti Animesh Garg OffRL 139 147 0 27 Oct 2020
Safety Verification of Model Based Reinforcement Learning Controllers Akshita Gupta Inseok Hwang 114 4 0 21 Oct 2020
Learning a Low-dimensional Representation of a Safe Region for Safe Reinforcement Learning on Dynamical Systems Zhehua Zhou Ozgur S. Oguz M. Leibold M. Buss 130 16 0 19 Oct 2020
Planning with Learned Dynamics: Probabilistic Guarantees on Safety and Reachability via Lipschitz Constants Craig Knuth Glen Chou N. Ozay Dmitry Berenson 149 37 0 18 Oct 2020
ALPaCA vs. GP-based Prior Learning: A Comparison between two Bayesian Meta-Learning Algorithms Yilun Wu UQCV BDL 64 2 0 15 Oct 2020
Constrained Model-based Reinforcement Learning with Robust Cross-Entropy Method Zuxin Liu Hongyi Zhou Baiming Chen Sicheng Zhong M. Hebert Ding Zhao 122 11 0 15 Oct 2020
Variable impedance control and learning -- A review Fares J. Abu-Dakka Matteo Saveriano AI4CE 149 172 0 13 Oct 2020
Safe Reinforcement Learning with Natural Language Constraints Tsung-Yen Yang Michael Y. Hu Yinlam Chow Peter J. Ramadge Karthik Narasimhan 139 32 0 11 Oct 2020
Parameter Optimization using high-dimensional Bayesian Optimization David Yenicelik 120 2 0 05 Oct 2020
Robust Model-Free Learning and Control without Prior KnowledgeIEEE Conference on Decision and Control (CDC), 2024 Dimitar Ho J. Doyle 41 4 0 01 Oct 2020
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent ControlInternational Conference on Distributed Artificial Intelligence (ICDAI), 2023 Qingrui Zhang Hao Dong Wei Pan 62 8 0 20 Sep 2020
Learning Safe Neural Network Controllers with Barrier Certificates Hengjun Zhao Xia Zeng Taolue Chen Zhiming Liu Jim Woodcock 152 46 0 18 Sep 2020
$Contraction $\mathcal{L}_1$-Adaptive Control using Gaussian Processes$ Contraction $\mathcal{L}_1$ -Adaptive Control using Gaussian Processes Aditya Gahlawat Arun Lakshmanan Lin Song Andrew Patterson Zhuohuan Wu N. Hovakimyan Evangelos Theodorou AI4CE 116 1 0 08 Sep 2020
Certainty Equivalent Perception-Based ControlConference on Learning for Dynamics & Control (L4DC), 2025 Sarah Dean Benjamin Recht 132 29 0 27 Aug 2020
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI Katya Kudashkina P. Pilarski R. Sutton KELM 150 6 0 27 Aug 2020
Constrained Markov Decision Processes via Backward Value FunctionsInternational Conference on Machine Learning (ICML), 2024 Harsh Satija Philip Amortila Joelle Pineau 144 53 0 26 Aug 2020
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework T. Lew Apoorva Sharma James Harrison Andrew Bylard Marco Pavone 161 50 0 26 Aug 2020
Model-Reference Reinforcement Learning for Collision-Free Tracking Control of Autonomous Surface Vehicles Qingrui Zhang Wei Pan V. Reppa 78 77 0 17 Aug 2020
Safe Reinforcement Learning in Constrained Markov Decision Processes Akifumi Wachi Yanan Sui 98 163 0 15 Aug 2020
Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings Jesse Zhang Brian Cheung Chelsea Finn Sergey Levine Dinesh Jayaraman 95 60 0 15 Aug 2020
Multi-Agent Safe Planning with Gaussian ProcessesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024 Zheqing Zhu Erdem Biyik Dorsa Sadigh 110 20 0 10 Aug 2020
Improving Competence for Reliable Autonomy Connor Basich Justin Svegliato K. H. Wray Stefan J. Witwicki S. Zilberstein 105 9 0 23 Jul 2020
Meta-active Learning in Probabilistically-Safe Optimization Mariah L. Schrum M. Connolly Eric R. Cole Mihir Ghetiya R. Gross Matthew C. Gombolay 99 12 0 07 Jul 2020
Provably Safe PAC-MDP Exploration Using Analogies Melrose Roderick Vaishnavh Nagarajan J. Zico Kolter 73 12 0 07 Jul 2020
Explainable Deep One-Class Classification Philipp Liznerski Lukas Ruff Robert A. Vandermeulen Billy Joe Franks Matthias Kirchler Klaus-Robert Muller 247 215 0 03 Jul 2020
Verifiably Safe Exploration for End-to-End Reinforcement Learning Nathan Hunt Nathan Fulton Sara Magliacane Nghia Hoang Subhro Das Armando Solar-Lezama OffRL 128 56 0 02 Jul 2020
Model-based Reinforcement Learning: A Survey Thomas M. Moerland Joost Broekens Aske Plaat Catholijn M. Jonker OffRL 235 52 0 30 Jun 2020
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain ClassifiersInternational Conference on Learning Representations (ICLR), 2025 Benjamin Eysenbach Swapnil Asawa Shreyas Chaudhari Sergey Levine Ruslan Salakhutdinov 193 104 0 24 Jun 2020
Safe Reinforcement Learning via Curriculum InductionNeural Information Processing Systems (NeurIPS), 2025 M. Turchetta Andrey Kolobov S. Shah Andreas Krause Alekh Agarwal 128 95 0 22 Jun 2020
FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based OptimizeIEEE International Conference on Robotics and Automation (ICRA), 2025 Chuangchuang Sun Dong-Ki Kim Jonathan P. How 164 7 0 19 Jun 2020
Learning Dynamics Models with Stable Invariant SetsAAAI Conference on Artificial Intelligence (AAAI), 2024 Naoya Takeishi Yoshinobu Kawahara 146 18 0 16 Jun 2020
ShieldNN: A Provably Safe NN Filter for Unsafe NN ControllersAmerican Control Conference (ACC), 2025 James Ferlez Mahmoud M. Elnaggar Yasser Shoukry C. Fleming AAML 180 35 0 16 Jun 2020
Neural Certificates for Safe Control Policies Wanxin Jin Zhaoran Wang Zhuoran Yang Shaoshuai Mou 104 88 0 15 Jun 2020
Safety-guaranteed Reinforcement Learning based on Multi-class Support Vector Machine Kwangyeon Kim Akshita Gupta Hong Choi Inseok Hwang 43 0 0 12 Jun 2020