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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
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 173 3 0 20 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 165 5 0 18 May 2024
Safe Exploration Using Bayesian World Models and Log-Barrier Optimization Yarden As Bhavya Sukhija Andreas Krause OffRL 110 2 0 09 May 2024
Hybrid Convolutional Neural Networks with Reliability Guarantee Hans Dermot Doran Suzana Veljanovska 159 2 0 08 May 2024
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning Weiye Zhao Tairan He Feihan Li 112 3 0 04 May 2024
Learning to Boost the Performance of Stable Nonlinear Systems Luca Furieri C. Galimberti Giancarlo Ferrari-Trecate 86 11 0 01 May 2024
Data-Driven Permissible Safe Control with Barrier Certificates Rayan Mazouz John Skovbekk Frederik Baymler Mathiesen Eric Frew Luca Laurenti Morteza Lahijanian 126 2 0 30 Apr 2024
Safe Reinforcement Learning on the Constraint Manifold: Theory and Applications Puze Liu Haitham Bou-Ammar Jan Peters Davide Tateo 119 12 0 13 Apr 2024
Unifying Qualitative and Quantitative Safety Verification of DNN-Controlled Systems Dapeng Zhi Peixin Wang Si Liu C.-H. Luke Ong Min Zhang 145 8 0 02 Apr 2024
Safe and Robust Reinforcement Learning: Principles and Practice Taku Yamagata Raúl Santos-Rodríguez OffRL 148 5 0 27 Mar 2024
Constrained Reinforcement Learning with Smoothed Log Barrier Function Baohe Zhang Yuan Zhang Lilli Frison Thomas Brox Joschka Bödecker 118 12 0 21 Mar 2024
Tighter Confidence Bounds for Sequential Kernel Regression H. Flynn David Reeb 112 4 0 19 Mar 2024
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis Rui Liu Erfaun Noorani Erfaun Noorani John S. Baras 198 4 0 13 Mar 2024
On the Limited Representational Power of Value Functions and its Links to Statistical (In)Efficiency David Cheikhi Daniel Russo OffRL 125 0 0 11 Mar 2024
DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning Xuefeng Wang Henglin Pu Hyung Jun Kim Husheng Li 108 3 0 11 Mar 2024
Enhancing LLM Safety via Constrained Direct Preference Optimization Zixuan Liu Xiaolin Sun Zizhan Zheng 152 36 0 04 Mar 2024
Reinforcement Learning with Ensemble Model Predictive Safety Certification Sven Gronauer Tom Haider Felippe Schmoeller da Roza Klaus Diepold 98 3 0 06 Feb 2024
A Safe Reinforcement Learning driven Weights-varying Model Predictive Control for Autonomous Vehicle Motion Control Baha Zarrouki Marios Spanakakis Johannes Betz 77 6 0 04 Feb 2024
A Survey of Constraint Formulations in Safe Reinforcement Learning Akifumi Wachi Xun Shen Yanan Sui 162 23 0 03 Feb 2024
Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments Alexander W. Goodall Francesco Belardinelli OffRL 64 4 0 01 Feb 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations Patricia Pauli Aaron J. Havens Alexandre Araujo Siddharth Garg Farshad Khorrami Frank Allgöwer Bin Hu 160 4 0 25 Jan 2024
DDM-Lag : A Diffusion-based Decision-making Model for Autonomous Vehicles with Lagrangian Safety Enhancement Jiaqi Liu Peng Hang Xiaocong Zhao Jianqiang Wang Jian Sun 166 11 0 08 Jan 2024
Conservative Exploration for Policy Optimization via Off-Policy Policy Evaluation Paul Daoudi Mathias Formoso Othman Gaizi Achraf Azize Evrard Garcelon OffRL 100 0 0 24 Dec 2023
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems Amit Jena D. Kalathil Le Xie 86 3 0 23 Dec 2023
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming Minjae Cho Chuangchuang Sun 123 4 0 15 Dec 2023
Robustness Verification of Deep Reinforcement Learning Based Control Systems using Reward Martingales Dapeng Zhi Peixin Wang Cheng Chen Min Zhang 76 2 0 15 Dec 2023
Language Models, Agent Models, and World Models: The LAW for Machine Reasoning and Planning Zhiting Hu Tianmin Shu LLMAG LM&Ro LRM 210 45 0 08 Dec 2023
Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees Dorde Zikelic Mathias Lechner Abhinav Verma K. Chatterjee T. Henzinger 148 13 0 03 Dec 2023
A safe exploration approach to constrained Markov decision processes Tingting Ni Maryam Kamgarpour 193 4 0 01 Dec 2023
Deep Reinforcement Learning Graphs: Feedback Motion Planning via Neural Lyapunov Verification A. Ghanbarzadeh Esmaeil Najafi 50 0 0 29 Nov 2023
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning F. D. Lellis M. Coraggio G. Russo Mirco Musolesi Mario di Bernardo OffRL 141 6 0 16 Nov 2023
Deep Bayesian Reinforcement Learning for Spacecraft Proximity Maneuvers and Docking Desong Du Naiming Qi Yanfang Liu Wei Pan 124 0 0 07 Nov 2023
Stable Modular Control via Contraction Theory for Reinforcement Learning Bing Song Jean-Jacques E. Slotine Quang Pham 139 2 0 07 Nov 2023
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression Harris Papadopoulos 141 18 0 24 Oct 2023
Stabilizing reinforcement learning control: A modular framework for optimizing over all stable behavior Nathan P. Lawrence Philip D. Loewen Shuyuan Wang M. Forbes R. Bhushan Gopaluni 86 4 0 21 Oct 2023
Absolute Policy Optimization Weiye Zhao Feihan Li Yifan Sun Rui Chen Tianhao Wei Changliu Liu 221 5 0 20 Oct 2023
Exact Verification of ReLU Neural Control Barrier Functions Hongchao Zhang Junlin Wu Yevgeniy Vorobeychik Andrew Clark AAML 117 17 0 13 Oct 2023
Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities Subash Neupane Shaswata Mitra Ivan A. Fernandez Swayamjit Saha Sudip Mittal Jingdao Chen Nisha Pillai Shahram Rahimi 87 16 0 12 Oct 2023
Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization Fan Yang Wen-Min Zhou Zuxin Liu Ding Zhao David Held 116 2 0 10 Oct 2023
Safe Deep Policy Adaptation Wenli Xiao Tairan He John M. Dolan Guanya Shi 170 10 0 08 Oct 2023
Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming A. Chriat Chuangchuang Sun 116 1 0 03 Oct 2023
Probabilistic Reach-Avoid for Bayesian Neural Networks Matthew Wicker Luca Laurenti A. Patané Nicola Paoletti Alessandro Abate Marta Z. Kwiatkowska 89 4 0 03 Oct 2023
Learning Adaptive Safety for Multi-Agent Systems Luigi Berducci Shuo Yang Rahul Mangharam Radu Grosu 143 6 0 19 Sep 2023
The Safety Filter: A Unified View of Safety-Critical Control in Autonomous Systems Kai-Chieh Hsu Haimin Hu J. F. Fisac 126 106 0 11 Sep 2023
On Reward Structures of Markov Decision Processes Falcon Z. Dai 121 1 0 28 Aug 2023
Shielded Reinforcement Learning for Hybrid Systems Asger Horn Brorholt P. G. Jensen Kim G. Larsen Florian Lorber Christian Schilling 117 7 0 28 Aug 2023
Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions Tongxin Li Yiheng Lin Shaolei Ren Adam Wierman AAML OffRL 135 8 0 20 Jul 2023
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion Simon Guist Jan Schneider Hao Ma Tianyu Cui V. Berenz ... Felix Gruninger M. Muhlebach J. Fiene Bernhard Schölkopf Le Chen 184 6 0 05 Jul 2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning Shengbo Wang Ke Li Yin Yang Yuting Cao Tingwen Huang S. Wen 110 4 0 03 Jul 2023
Safe Model-Based Multi-Agent Mean-Field Reinforcement Learning Matej Jusup Barna Pásztor Tadeusz Janik Kecheng Zhang Francesco Corman Andreas Krause Ilija Bogunovic 159 4 0 29 Jun 2023