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

Title
Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron Melanie Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 167 48 0 24 Jun 2023
Optimistic Active Exploration of Dynamical Systems Bhavya Sukhija Lenart Treven Cansu Sancaktar Sebastian Blaes Stelian Coros Andreas Krause 233 23 0 21 Jun 2023
Finding Counterfactually Optimal Action Sequences in Continuous State Spaces Stratis Tsirtsis Manuel Gomez Rodriguez CML OffRL 192 12 0 06 Jun 2023
Conformal Predictive Safety Filter for RL Controllers in Dynamic Environments Kegan J. Strawn Nora Ayanian Lars Lindemann 236 11 0 05 Jun 2023
Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces Brahma S. Pavse M. Zurek Yudong Chen Qiaomin Xie Josiah P. Hanna OffRL 169 1 0 02 Jun 2023
Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees Pengfei Li Jianyi Yang Shaolei Ren OffRL 109 4 0 31 May 2023
Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings H. Cao Y. Mao L. Sha Marco Caccamo PINN AI4CE 135 8 0 26 May 2023
Safely Learning Dynamical Systems Amir Ali Ahmadi A. Chaudhry Vikas Sindhwani Stephen Tu 109 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 127 21 0 16 May 2023
On Practical Robust Reinforcement Learning: Practical Uncertainty Set and Double-Agent Algorithm Ukjo Hwang Songnam Hong 115 1 0 11 May 2023
Neural Lyapunov Control for Discrete-Time Systems Junlin Wu Andrew Clark Y. Kantaros Yevgeniy Vorobeychik 165 32 0 11 May 2023
On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach A. Chriat Chuangchuang Sun 102 6 0 05 May 2023
Approximate Shielding of Atari Agents for Safe Exploration Alexander W. Goodall Francesco Belardinelli 76 2 0 21 Apr 2023
Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach Liqun Zhao Konstantinos Gatsis A. Papachristodoulou 148 18 0 08 Apr 2023
A modular framework for stabilizing deep reinforcement learning control Nathan P. Lawrence Philip D. Loewen Shuyuan Wang M. Forbes R. Bhushan Gopaluni 76 1 0 07 Apr 2023
Constrained Exploration in Reinforcement Learning with Optimality Preservation Peter C. Y. Chen 101 0 0 05 Apr 2023
Physical Deep Reinforcement Learning Towards Safety Guarantee H. Cao Y. Mao L. Sha Marco Caccamo AI4CE 59 5 0 29 Mar 2023
Neural Operators of Backstepping Controller and Observer Gain Functions for Reaction-Diffusion PDEs Miroslav Krstic Luke Bhan Yuanyuan Shi 141 40 0 18 Mar 2023
Error Bounds for Kernel-Based Linear System Identification with Unknown Hyperparameters Mingzhou Yin Roy S. Smith 92 0 0 17 Mar 2023
ConBaT: Control Barrier Transformer for Safe Policy Learning Yue Meng Sai H. Vemprala Rogerio Bonatti Chuchu Fan Ashish Kapoor OffRL 132 4 0 07 Mar 2023
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning Nick Bührer Zhejun Zhang Alexander Liniger Feng Yu Luc Van Gool 104 1 0 07 Mar 2023
Reducing Safety Interventions in Provably Safe Reinforcement Learning Jakob Thumm Guillaume Pelat Matthias Althoff 111 5 0 06 Mar 2023
Hallucinated Adversarial Control for Conservative Offline Policy Evaluation Jonas Rothfuss Bhavya Sukhija Tobias Birchler Parnian Kassraie Andreas Krause OffRL 120 11 0 02 Mar 2023
Safe Multi-agent Learning via Trapping Regions A. Czechowski F. Oliehoek 77 0 0 27 Feb 2023
Deep Model Predictive Control Prabhat Kumar Mishra M. V. Gasparino A. E. B. Velasquez Girish Chowdhary 149 0 0 27 Feb 2023
EnergyShield: Provably-Safe Offloading of Neural Network Controllers for Energy Efficiency Mohanad Odema James Ferlez Goli Vaisi Yasser Shoukry M. A. Al Faruque 114 5 0 13 Feb 2023
Provably Safe Reinforcement Learning with Step-wise Violation Constraints Nuoya Xiong Yihan Du Longbo Huang 172 11 0 13 Feb 2023
Shared Information-Based Safe And Efficient Behavior Planning For Connected Autonomous Vehicles Songyang Han Shangli Zhou Lynn Pepin Jiangwei Wang Caiwen Ding Fei Miao 59 1 0 08 Feb 2023
State-wise Safe Reinforcement Learning: A Survey Weiye Zhao Tairan He Rui Chen Tianhao Wei Changliu Liu 190 75 0 06 Feb 2023
Imitating careful experts to avoid catastrophic events J.R.P. Hanslope Laurence Aitchison OffRL 91 0 0 02 Feb 2023
Learning Control from Raw Position Measurements Fabio Amadio Alberto Dalla Libera D. Nikovski R. Carli Diego Romeres 83 9 0 30 Jan 2023
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning Tairan He Weiye Zhao Changliu Liu OffRL 110 20 0 24 Jan 2023
Risk Sensitive Dead-end Identification in Safety-Critical Offline Reinforcement Learning Taylor W. Killian S. Parbhoo Marzyeh Ghassemi OffRL 134 7 0 13 Jan 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 121 41 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 139 1 0 02 Jan 2023
Generating Stable and Collision-Free Policies through Lyapunov Function Learning Alexandre Coulombe Hsiu-Chin Lin 79 6 0 16 Nov 2022
Safety-Constrained Policy Transfer with Successor Features Zeyu Feng Bowen Zhang Jianxin Bi Harold Soh 113 6 0 10 Nov 2022
Benefits of Monotonicity in Safe Exploration with Gaussian Processes Arpan Losalka Jonathan Scarlett 129 1 0 03 Nov 2022
ReachLipBnB: A branch-and-bound method for reachability analysis of neural autonomous systems using Lipschitz bounds Taha Entesari Sina Sharifi Mahyar Fazlyab 132 8 0 01 Nov 2022
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks Edwin Zhang Yujie Lu William Wang Amy Zhang DiffM LM&Ro 135 22 0 27 Oct 2022
Knowledge-Guided Exploration in Deep Reinforcement Learning Sahisnu Mazumder Bing-Quan Liu Shuai Wang Yingxuan Zhu Xiaotian Yin Lifeng Liu Jian Li 138 5 0 26 Oct 2022
Provable Safe Reinforcement Learning with Binary Feedback Andrew Bennett Dipendra Kumar Misra Nathan Kallus OffRL 105 5 0 26 Oct 2022
Dissipative residual layers for unsupervised implicit parameterization of data manifolds Viktor Reshniak 81 0 0 13 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 120 26 0 13 Oct 2022
Near-Optimal Multi-Agent Learning for Safe Coverage Control Manish Prajapat M. Turchetta Melanie Zeilinger Andreas Krause 125 18 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 102 32 0 12 Oct 2022
Learning Provably Stabilizing Neural Controllers for Discrete-Time Stochastic Systems Matin Ansaripour K. Chatterjee T. Henzinger Mathias Lechner Dorde Zikelic 159 6 0 11 Oct 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks Xiaowu Sun Yasser Shoukry 115 14 0 11 Oct 2022
Digital twins of nonlinear dynamical systems Ling-Wei Kong Yang Weng Bryan Glaz Mulugeta Haile Y. Lai 95 2 0 05 Oct 2022
CaiRL: A High-Performance Reinforcement Learning Environment Toolkit Per-Arne Andersen Morten Goodwin Ole-Christoffer Granmo 82 0 0 03 Oct 2022