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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
Latent Mixture of Symmetries for Sample-Efficient Dynamic Learning Haoran Li Chenhan Xiao Muhao Guo Yang Weng 16 0 0 04 Oct 2025
Hierarchical Reinforcement Learning with Low-Level MPC for Multi-Agent Control Max Studt Georg Schildbach 4 0 0 19 Sep 2025
Off Policy Lyapunov Stability in Reinforcement Learning Sarvan Gill Daniela Constantinescu 24 0 0 11 Sep 2025
Safe and Non-Conservative Contingency Planning for Autonomous Vehicles via Online Learning-Based Reachable Set Barriers Rui Yang Lei Zheng Shuzhi Sam Ge Jun Ma 40 0 0 09 Sep 2025
Rectified Robust Policy Optimization for Model-Uncertain Constrained Reinforcement Learning without Strong Duality Shaocong Ma Ziyi Chen Yi Zhou Heng Huang OffRL 48 0 0 24 Aug 2025
Reinforcement Learning-based Control via Y-wise Affine Neural Networks (YANNs) Austin Braniff Yuhe Tian 20 0 0 22 Aug 2025
Integrating Reinforcement Learning with Visual Generative Models: Foundations and Advances Yuanzhi Liang Yijie Fang Rui Li Ziqi Ni Ruijie Su Chi Zhang Xuelong Li EGVM 90 0 0 14 Aug 2025
PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning Dongchi Huang Jiaqi Wang Yang Li Chunhe Xia Tianle Zhang Kaige Zhang 38 1 0 04 Aug 2025
Safe Deployment of Offline Reinforcement Learning via Input Convex Action Correction Alex Durkin Jasper Stolte Matthew Jones Raghuraman Pitchumani Bei Li Christian Michler Mehmet Mercangöz OffRL OnRL 59 0 0 30 Jul 2025
CPED-NCBFs: A Conformal Prediction for Expert Demonstration-based Neural Control Barrier Functions Sumeadh MS Kevin Dsouza Ravi Prakash 28 0 0 20 Jul 2025
Learning Safe Control via On-the-Fly Bandit Exploration A. Capone Ryan K. Cosner Aaaron Ames Sandra Hirche 153 0 0 12 Jun 2025
Safely Learning Controlled Stochastic Dynamics Luc Brogat-Motte Alessandro Rudi Riccardo Bonalli 96 0 0 03 Jun 2025
Accelerated Learning with Linear Temporal Logic using Differentiable Simulation Alper Kamil Bozkurt Calin Belta Ming C. Lin 115 0 0 01 Jun 2025
Central Path Proximal Policy Optimization Nikola Milosevic Johannes Müller Nico Scherf 80 2 0 31 May 2025
Optimal kernel regression bounds under energy-bounded noise Amon Lahr Johannes Köhler Anna Scampicchio Melanie Zeilinger 91 1 0 28 May 2025
Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures Dongzhe Zheng Wenjie Mei AI4CE 127 1 0 26 May 2025
Is Single-View Mesh Reconstruction Ready for Robotics? Frederik Nolte Andreas Geiger Bernhard Schölkopf Ingmar Posner 237 2 0 23 May 2025
A Survey of Safe Reinforcement Learning and Constrained MDPs: A Technical Survey on Single-Agent and Multi-Agent Safety Ankita Kushwaha Kiran Ravish Preeti Lamba Pawan Kumar 84 0 0 22 May 2025
Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions Kehan Long Jorge Cortés Nikolay Atanasov 174 2 0 16 May 2025
Computationally and Sample Efficient Safe Reinforcement Learning Using Adaptive Conformal Prediction Hao Zhou Yanze Zhang Wenhao Luo 126 2 0 22 Mar 2025
Neural Lyapunov Function Approximation with Self-Supervised Reinforcement Learning Luc McCutcheon Bahman Gharesifard Saber Fallah 114 1 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 190 9 0 18 Mar 2025
On the Design of Safe Continual RL Methods for Control of Nonlinear Systems Austin Coursey Marcos Quiñones-Grueiro Gautam Biswas 166 0 0 21 Feb 2025
Addressing Moral Uncertainty using Large Language Models for Ethical Decision-Making Rohit K. Dubey Damian Dailisan Sachit Mahajan 121 1 0 17 Feb 2025
Polynomial-Time Approximability of Constrained Reinforcement Learning Jeremy McMahan 581 0 0 11 Feb 2025
Koopman-Equivariant Gaussian Processes Petar Bevanda Max Beier Armin Lederer A. Capone Roland Toth Sandra Hirche AI4TS 162 3 0 10 Feb 2025
Stability Enhancement in Reinforcement Learning via Adaptive Control Lyapunov Function Donghe Chen Han Wang Lin Cheng Lin Cheng 586 0 0 18 Jan 2025
Safe Reinforcement Learning of Robot Trajectories in the Presence of Moving Obstacles Jonas C. Kiemel Ludovic Righetti Torsten Kröger Tamim Asfour 144 1 0 08 Nov 2024
Embedding Safety into RL: A New Take on Trust Region Methods Nikola Milosevic Johannes Müller Nico Scherf 207 4 0 05 Nov 2024
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization Nico Meyer Julian Berberich Christopher Mutschler Daniel D. Scherer 116 1 0 28 Oct 2024
SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions Hongchao Zhang Zhizhen Qin Sicun Gao Andrew Clark 116 3 0 27 Oct 2024
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As Bhavya Sukhija Lenart Treven Carmelo Sferrazza Stelian Coros Andreas Krause 197 6 0 12 Oct 2024
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning Claire Chen Shuze Liu Shangtong Zhang OffRL 535 1 0 08 Oct 2024
Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction Weiye Zhao Feihan Li Yifan Sun Yujie Wang Rui Chen Tianhao Wei Changliu Liu 93 2 0 02 Oct 2024
Constrained Reinforcement Learning for Safe Heat Pump Control Baohe Zhang Lilli Frison Thomas Brox Joschka Bödecker AI4CE 99 1 0 29 Sep 2024
Theoretical Analysis of Heteroscedastic Gaussian Processes with Posterior Distributions Yuji Ito 49 0 0 19 Sep 2024
Critic as Lyapunov function (CALF): a model-free, stability-ensuring agent Pavel Osinenko Grigory Yaremenko Roman Zashchitin Anton Bolychev Sinan Ibrahim D. Dobriborsci 114 7 0 15 Sep 2024
Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear Systems Thanin Quartz Ruikun Zhou H. Sterck Jun Liu 55 2 0 12 Sep 2024
Simplex-enabled Safe Continual Learning Machine H. Cao Y. Mao Yihao Cai L. Sha Marco Caccamo 152 3 0 05 Sep 2024
Bridging the gap between Learning-to-plan, Motion Primitives and Safe Reinforcement Learning Piotr Kicki Davide Tateo Puze Liu Jonas Guenster Jan Peters Krzysztof Walas 140 4 0 26 Aug 2024
Error Bounds For Gaussian Process Regression Under Bounded Support Noise With Applications To Safety Certification Robert Reed Luca Laurenti Morteza Lahijanian 97 5 0 16 Aug 2024
Meta SAC-Lag: Towards Deployable Safe Reinforcement Learning via MetaGradient-based Hyperparameter Tuning Homayoun Honari Amir M. Soufi Enayati Mehran Ghafarian Tamizi Homayoun Najjaran 112 3 0 15 Aug 2024
Anomalous State Sequence Modeling to Enhance Safety in Reinforcement Learning Leen Kweider Maissa Abou Kassem Ubai Sandouk OffRL 108 0 0 29 Jul 2024
Reinforcement Learning for Sustainable Energy: A Survey Koen Ponse Felix Kleuker Márton Fejér Álvaro Serra-Gómez Aske Plaat Thomas M. Moerland OffRL AI4CE 141 4 0 26 Jul 2024
Optimal Transport-Assisted Risk-Sensitive Q-Learning Zahra Shahrooei Ali Baheri 127 3 0 17 Jun 2024
GenSafe: A Generalizable Safety Enhancer for Safe Reinforcement Learning Algorithms Based on Reduced Order Markov Decision Process Model Zhehua Zhou Xuan Xie Yuheng Huang Zhan Shu Lei Ma 204 1 0 06 Jun 2024
No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints Arpan Losalka Jonathan Scarlett 109 2 0 05 Jun 2024
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation Shangding Gu Laixi Shi Yuhao Ding Alois Knoll C. Spanos Adam Wierman Ming Jin OffRL 114 4 0 31 May 2024
Safe Deep Model-Based Reinforcement Learning with Lyapunov Functions Harry Zhang 115 0 0 25 May 2024
Deterministic Policies for Constrained Reinforcement Learning in Polynomial-Time Jeremy McMahan 94 2 0 23 May 2024