End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks

21 March 2019

Papers citing "End-to-End Safe Reinforcement Learning through Barrier Functions for Safety-Critical Continuous Control Tasks"

50 / 115 papers shown

Title
Risk-Aware Safe Reinforcement Learning for Control of Stochastic Linear Systems Babak Esmaeili Nariman Niknejad Hamidreza Modares 14 0 0 14 May 2025
Barrier Function Overrides For Non-Convex Fixed Wing Flight Control and Self-Driving Cars Eric Squires Phillip Odom Z. Kira 41 0 0 08 May 2025
Safe and Efficient CAV Lane Changing using Decentralised Safety Shields Bharathkumar Hegde Melanie Bouroche 32 0 0 30 Apr 2025
Risk-Aware Reinforcement Learning for Autonomous Driving: Improving Safety When Driving through Intersection Bo Leng Ran Yu Wei Han Lu Xiong Zhuoren Li Hailong Huang 49 0 0 25 Mar 2025
Polynomial-Time Approximability of Constrained Reinforcement Learning Jeremy McMahan 222 0 0 11 Feb 2025
From Uncertain to Safe: Conformal Fine-Tuning of Diffusion Models for Safe PDE Control Peiyan Hu Xiaowei Qian Wenhao Deng Rui Wang Haodong Feng ... Tao Zhang Long Wei Yue Wang Zhi-Ming Ma Tailin Wu AI4CE 129 0 0 04 Feb 2025
Differentiable Projection-based Learn to Optimize in Wireless Network-Part I: Convex Constrained (Non-)Convex Programming Xiucheng Wang Xuan Zhao Nan Cheng 49 0 0 29 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
Disturbance Observer-based Control Barrier Functions with Residual Model Learning for Safe Reinforcement Learning Dvij Kalaria Qin Lin John M. Dolan OffRL 33 0 0 09 Oct 2024
Simplex-enabled Safe Continual Learning Machine H. Cao Y. Mao Yihao Cai L. Sha Marco Caccamo 44 3 0 05 Sep 2024
Efficient Multi-agent Navigation with Lightweight DRL Policy Xingrong Diao Jiankun Wang 56 0 0 29 Aug 2024
Neural Control Barrier Functions for Safe Navigation Marvin Harms Mihir Kulkarni Nikhil Khedekar Martin Jacquet Kostas Alexis 52 8 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 45 1 0 26 Jul 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey Milan Ganai Sicun Gao Sylvia Herbert 45 6 0 12 Jul 2024
Safety through feedback in Constrained RL Shashank Reddy Chirra Pradeep Varakantham P. Paruchuri OffRL 56 1 0 28 Jun 2024
Safety through Permissibility: Shield Construction for Fast and Safe Reinforcement Learning A. Politowicz Sahisnu Mazumder Bing-Quan Liu 31 0 0 29 May 2024
Data-Driven Simulator for Mechanical Circulatory Support with Domain Adversarial Neural Process S. Sun Wenyuan Chen Zihao Zhou Sonia Fereidooni Elise Jortberg Rose Yu AI4CE 52 0 0 28 May 2024
RACER: Epistemic Risk-Sensitive RL Enables Fast Driving with Fewer Crashes Kyle Stachowicz Sergey Levine 22 6 0 07 May 2024
Formal Synthesis of Controllers for Safety-Critical Autonomous Systems: Developments and Challenges Xiang Yin Bingzhao Gao Xiao Yu 43 18 0 20 Feb 2024
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion Tairan He Chong Zhang Wenli Xiao Guanqi He Changliu Liu Guanya Shi 47 59 0 31 Jan 2024
A safe exploration approach to constrained Markov decision processes Tingting Ni Maryam Kamgarpour 54 3 0 01 Dec 2023
State-Wise Safe Reinforcement Learning With Pixel Observations S. Zhan Yixuan Wang Qingyuan Wu Ruochen Jiao Chao Huang Qi Zhu 56 10 0 03 Nov 2023
Safe multi-agent motion planning under uncertainty for drones using filtered reinforcement learning Sleiman Safaoui Abraham P. Vinod Ankush Chakrabarty R. Quirynen Nobuyuki Yoshikawa Stefano Di Cairano 41 2 0 31 Oct 2023
SICNav: Safe and Interactive Crowd Navigation using Model Predictive Control and Bilevel Optimization Sepehr Samavi James R. Han Florian Shkurti Angela P. Schoellig 48 6 0 17 Oct 2023
Learning to Recover for Safe Reinforcement Learning Haoyu Wang Xin Yuan Qinqing Ren 36 0 0 21 Sep 2023
Shielded Reinforcement Learning for Hybrid Systems Asger Horn Brorholt P. G. Jensen Kim G. Larsen Florian Lorber Christian Schilling 23 4 0 28 Aug 2023
Reinforcement Learning Under Probabilistic Spatio-Temporal Constraints with Time Windows Xiaoshan Lin Abbasali Koochakzadeh Yasin Yazıcıoğlu Derya Aksaray 26 1 0 29 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
Safely Learning Dynamical Systems Amir Ali Ahmadi A. Chaudhry Vikas Sindhwani Stephen Tu 28 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
Autonomous Navigation for Robot-assisted Intraluminal and Endovascular Procedures: A Systematic Review Ameya Pore Zhen Li Diego DallÁlba A. Hernansanz Elena De Momi A. Menciassi Alicia Casals Gelpí J. Dankelman Paolo Fiorini E. V. Poorten 24 29 0 06 May 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
Safe and Sample-efficient Reinforcement Learning for Clustered Dynamic Environments Hongyi Chen Changliu Liu OffRL 27 14 0 24 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
Human-Inspired Framework to Accelerate Reinforcement Learning Ali Beikmohammadi Sindri Magnússon OffRL 29 4 0 28 Feb 2023
Online Nonstochastic Control with Adversarial and Static Constraints Xin Liu Zixi Yang Lei Ying 42 5 0 05 Feb 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees James Queeney E. C. Ozcan I. Paschalidis Christos G. Cassandras OOD OffRL 36 5 0 31 Jan 2023
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning James Queeney M. Benosman OOD OffRL 46 5 0 30 Jan 2023
Learning to Generate All Feasible Actions Mirco Theile Daniele Bernardini Raphael Trumpp C. Piazza Marco Caccamo Alberto L. Sangiovanni-Vincentelli 29 2 0 26 Jan 2023
Safe Reinforcement Learning for an Energy-Efficient Driver Assistance System Habtamu Hailemichael B. Ayalew Lindsey Kerbel Andrej Ivanco K. Loiselle 22 4 0 03 Jan 2023
Safe Reinforcement Learning with Probabilistic Guarantees Satisfying Temporal Logic Specifications in Continuous Action Spaces Hanna Krasowski Prithvi Akella Aaron D. Ames Matthias Althoff 34 2 0 12 Dec 2022
Evaluating Model-free Reinforcement Learning toward Safety-critical Tasks Linrui Zhang Qin Zhang Li Shen Bo Yuan Xueqian Wang Dacheng Tao OffRL 53 26 0 12 Dec 2022
Online Shielding for Reinforcement Learning Bettina Könighofer Julian Rudolf Alexander Palmisano Martin Tappler Roderick Bloem OffRL 14 21 0 04 Dec 2022
Towards Explainability in Modular Autonomous Vehicle Software Hongrui Zheng Zirui Zang Shuo Yang Rahul Mangharam 34 0 0 01 Dec 2022
Safe Learning-Based Control of Elastic Joint Robots via Control Barrier Functions Armin Lederer Azra Begzadić Neha Das Sandra Hirche 16 4 0 01 Dec 2022
Safe and Efficient Reinforcement Learning Using Disturbance-Observer-Based Control Barrier Functions Yikun Cheng Pan Zhao N. Hovakimyan OffRL 30 11 0 30 Nov 2022
Neurosymbolic Motion and Task Planning for Linear Temporal Logic Tasks Xiaowu Sun Yasser Shoukry 53 11 0 11 Oct 2022
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning Zih-Yun Chiu Yi-Lin Tuan William Yang Wang Michael C. Yip OffRL 32 3 0 07 Oct 2022
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios Zhili Zhang Songyang Han Jiangwei Wang Fei Miao 43 19 0 05 Oct 2022