Safe Model-based Reinforcement Learning with Stability Guarantees

23 May 2017

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

50 / 194 papers shown

Title
Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions Kehan Long Jorge Cortés Nikolay Atanasov 17 0 0 16 May 2025
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning Luc McCutcheon Bahman Gharesifard Saber Fallah 58 0 0 19 Mar 2025
CP-NCBF: A Conformal Prediction-based Approach to Synthesize Verified Neural Control Barrier Functions Manan Tayal Aditya Singh Pushpak Jagtap Shishir Kolathaya 53 1 0 18 Mar 2025
Polynomial-Time Approximability of Constrained Reinforcement Learning Jeremy McMahan 225 0 0 11 Feb 2025
Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function Donghe Chen Han Wang Lin Cheng Shengping Gong 230 0 0 18 Jan 2025
Embedding Safety into RL: A New Take on Trust Region Methods Nikola Milosevic Johannes Müller Nico Scherf 36 1 0 05 Nov 2024
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As Bhavya Sukhija Lenart Treven Carmelo Sferrazza Stelian Coros Andreas Krause 38 1 0 12 Oct 2024
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning Claire Chen Shuze Liu Shangtong Zhang OffRL 198 1 0 08 Oct 2024
Simplex-enabled Safe Continual Learning Machine H. Cao Y. Mao Yihao Cai L. Sha Marco Caccamo 44 3 0 05 Sep 2024
Reinforcement Learning for Sustainable Energy: A Survey Koen Ponse Felix Kleuker Márton Fejér Álvaro Serra-Gómez Aske Plaat Thomas M. Moerland OffRL AI4CE 47 1 0 26 Jul 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model Zhehua Zhou Xuan Xie Jiayang Song Zhan Shu Lei Ma 49 1 0 06 Jun 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 45 3 0 20 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 45 2 0 18 May 2024
Hybrid Convolutional Neural Networks with Reliability Guarantee Hans Dermot Doran Suzana Veljanovska 34 2 0 08 May 2024
Towards Efficient Risk-Sensitive Policy Gradient: An Iteration Complexity Analysis Rui Liu Erfaun Noorani Pratap Tokekar John S. Baras 39 1 0 13 Mar 2024
Leveraging Approximate Model-based Shielding for Probabilistic Safety Guarantees in Continuous Environments Alexander W. Goodall Francesco Belardinelli OffRL 35 1 0 01 Feb 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 59 10 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 31 0 0 24 Dec 2023
Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems Amit Jena D. Kalathil Le Xie 38 3 0 23 Dec 2023
A safe exploration approach to constrained Markov decision processes Tingting Ni Maryam Kamgarpour 54 3 0 01 Dec 2023
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning F. D. Lellis M. Coraggio G. Russo Mirco Musolesi Mario di Bernardo OffRL 35 4 0 16 Nov 2023
Shielded Reinforcement Learning for Hybrid Systems Asger Horn Brorholt P. G. Jensen Kim G. Larsen Florian Lorber Christian Schilling 25 4 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 41 6 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 52 4 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 32 4 0 03 Jul 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 35 9 0 06 Jun 2023
Conformal Predictive Safety Filter for RL Controllers in Dynamic Environments Kegan J. Strawn Nora Ayanian Lars Lindemann 34 8 0 05 Jun 2023
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees Pengfei Li Jianyi Yang Shaolei Ren OffRL 27 4 0 31 May 2023
Safely Learning Dynamical Systems Amir Ali Ahmadi A. Chaudhry Vikas Sindhwani Stephen Tu 30 3 0 20 May 2023
Reinforcement Learning for Safe Robot Control using Control Lyapunov Barrier Functions Desong Du Shao-Fu Han Naiming Qi Haitham Bou-Ammar Jun Wang Wei Pan 42 15 0 16 May 2023
Approximate Shielding of Atari Agents for Safe Exploration Alexander W. Goodall Francesco Belardinelli 29 2 0 21 Apr 2023
Constrained Exploration in Reinforcement Learning with Optimality Preservation Peter C. Y. Chen 16 0 0 05 Apr 2023
Physical Deep Reinforcement Learning Towards Safety Guarantee H. Cao Y. Mao L. Sha Marco Caccamo AI4CE 22 5 0 29 Mar 2023
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs Miroslav Krstic Luke Bhan Yuanyuan Shi 59 28 0 18 Mar 2023
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning Nick Bührer Zhejun Zhang Alexander Liniger Feng Yu Luc Van Gool 29 1 0 07 Mar 2023
Hallucinated Adversarial Control for Conservative Offline Policy Evaluation Jonas Rothfuss Bhavya Sukhija Tobias Birchler Parnian Kassraie Andreas Krause OffRL 29 10 0 02 Mar 2023
Deep Model Predictive Control Prabhat Kumar Mishra M. V. Gasparino A. E. B. Velasquez Girish Chowdhary 26 0 0 27 Feb 2023
Imitating careful experts to avoid catastrophic events J.R.P. Hanslope Laurence Aitchison OffRL 38 0 0 02 Feb 2023
Robust Control for Dynamical Systems With Non-Gaussian Noise via Formal Abstractions Thom S. Badings Licio Romao Alessandro Abate David Parker Hasan A. Poonawala Marielle Stoelinga N. Jansen 42 37 0 04 Jan 2023
A Policy Optimization Method Towards Optimal-time Stability Shengjie Wang Lan Fengb Xiang Zheng Yu-wen Cao Oluwatosin Oseni Haotian Xu Tao Zhang Yang Gao 39 1 0 02 Jan 2023
Generating Stable and Collision-Free Policies through Lyapunov Function Learning Alexandre Coulombe Hsiu-Chin Lin 11 5 0 16 Nov 2022
ReachLipBnB: A branch-and-bound method for reachability analysis of neural autonomous systems using Lipschitz bounds Taha Entesari Sina Sharifi Mahyar Fazlyab 54 6 0 01 Nov 2022
Knowledge-Guided Exploration in Deep Reinforcement Learning Sahisnu Mazumder Bing-Quan Liu Shuai Wang Yingxuan Zhu Xiaotian Yin Lifeng Liu Jian Li 50 4 0 26 Oct 2022
Sustainable Online Reinforcement Learning for Auto-bidding Zhiyu Mou Yusen Huo Rongquan Bai Mingzhou Xie Chuan Yu Jian Xu Bo Zheng OffRL OnRL 36 15 0 13 Oct 2022
Near-Optimal Multi-Agent Learning for Safe Coverage Control Manish Prajapat M. Turchetta Melanie Zeilinger Andreas Krause 35 14 0 12 Oct 2022
Probabilities Are Not Enough: Formal Controller Synthesis for Stochastic Dynamical Models with Epistemic Uncertainty Thom S. Badings Licio Romao Alessandro Abate N. Jansen 24 26 0 12 Oct 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks Xiaowu Sun Yasser Shoukry 53 11 0 11 Oct 2022
Guiding Safe Exploration with Weakest Preconditions Greg Anderson Swarat Chaudhuri Işıl Dillig 52 6 0 28 Sep 2022
LEADER: Learning Attention over Driving Behaviors for Planning under Uncertainty Mohamad H. Danesh Panpan Cai David Hsu 22 7 0 23 Sep 2022
A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret Sheelabhadra Dey Sumedh Pendurkar Guni Sharon Josiah P. Hanna 24 10 0 20 Sep 2022