State-wise Safe Reinforcement Learning: A Survey

6 February 2023

Rui Chen

Changliu Liu

Papers citing "State-wise Safe Reinforcement Learning: A Survey"

37 / 37 papers shown

Title
Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning Mirco Theile Andres R. Zapata Rodriguez Marco Caccamo Alberto L. Sangiovanni-Vincentelli 19 0 0 13 May 2025
A Graph-Based Reinforcement Learning Approach with Frontier Potential Based Reward for Safe Cluttered Environment Exploration Gabriele Calzolari Vidya Sumathy Christoforos Kanellakis G. Nikolakopoulos 97 0 0 16 Apr 2025
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective Zhuoren Li Guizhe Jin Ran Yu Z. Chen Nan I. Li ... Lu Xiong Bo Leng Jia Hu I. Kolmanovsky Dimitar Filev 49 0 0 31 Mar 2025
Polynomial-Time Approximability of Constrained Reinforcement Learning Jeremy McMahan 97 0 0 11 Feb 2025
Leveraging Constraint Violation Signals For Action-Constrained Reinforcement Learning J. Brahmanage Jiajing Ling Akshat Kumar 34 0 0 08 Feb 2025
Safe Multi-Agent Reinforcement Learning with Convergence to Generalized Nash Equilibrium Zeyang Li Navid Azizan 72 1 0 22 Nov 2024
Safe Reinforcement Learning Filter for Multicopter Collision-Free Tracking under disturbances Qihan Qi Xinsong Yang Gang Xia 13 1 0 09 Oct 2024
A Safety Modulator Actor-Critic Method in Model-Free Safe Reinforcement Learning and Application in UAV Hovering Qihan Qi Xinsong Yang Gang Xia Daniel W. C. Ho Pengyang Tang 26 0 0 09 Oct 2024
Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation Hanjiang Hu Yujie Yang Tianhao Wei Changliu Liu AAML 24 6 0 04 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 25 0 0 02 Oct 2024
Revisiting Safe Exploration in Safe Reinforcement learning David Eckel Baohe Zhang Joschka Bödecker 33 0 0 02 Sep 2024
Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey Ruiqi Zhang Jing Hou Florian Walter Shangding Gu Jiayi Guan Florian Röhrbein Yali Du Panpan Cai G. Chen Alois Knoll 39 12 0 19 Aug 2024
A Safe Exploration Strategy for Model-free Task Adaptation in Safety-constrained Grid Environments Erfan Entezami Mahsa Sahebdel Dhawal Gupta 27 0 0 02 Aug 2024
SECRM-2D: RL-Based Efficient and Comfortable Route-Following Autonomous Driving with Analytic Safety Guarantees Tianyu Shi Ilia Smirnov Omar ElSamadisy Baher Abdulhai 20 0 0 23 Jul 2024
Hamilton-Jacobi Reachability in Reinforcement Learning: A Survey Milan Ganai Sicun Gao Sylvia L. Herbert 32 6 0 12 Jul 2024
Deterministic Policies for Constrained Reinforcement Learning in Polynomial-Time Jeremy McMahan 26 2 0 23 May 2024
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning Arko Banerjee Kia Rahmani Joydeep Biswas Işıl Dillig 36 2 0 22 May 2024
Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills Tianhao Wei Liqian Ma Rui Chen Weiye Zhao Changliu Liu 37 2 0 18 May 2024
Implicit Safe Set Algorithm for Provably Safe Reinforcement Learning Weiye Zhao Tairan He Feihan Li Changliu Liu 24 2 0 04 May 2024
A Survey of Constraint Formulations in Safe Reinforcement Learning Akifumi Wachi Xun Shen Yanan Sui 31 10 0 03 Feb 2024
Agile But Safe: Learning Collision-Free High-Speed Legged Locomotion Tairan He Chong Zhang Wenli Xiao Guanqi He Changliu Liu Guanya Shi 39 56 0 31 Jan 2024
Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model Yinan Zheng Jianxiong Li Dongjie Yu Yujie Yang Shengbo Eben Li Xianyuan Zhan Jingjing Liu OffRL 34 24 0 19 Jan 2024
Learning Predictive Safety Filter via Decomposition of Robust Invariant Set Zeyang Li Chuxiong Hu Weiye Zhao Changliu Liu 26 6 0 12 Nov 2023
Absolute Policy Optimization Weiye Zhao Feihan Li Yifan Sun Rui Chen Tianhao Wei Changliu Liu 18 4 0 20 Oct 2023
Robust Safe Reinforcement Learning under Adversarial Disturbances Zeyang Li Chuxiong Hu Shengbo Eben Li Jia Cheng Yunan Wang AAML 29 3 0 11 Oct 2023
Safe Deep Policy Adaptation Wenli Xiao Tairan He John M. Dolan Guanya Shi 24 9 0 08 Oct 2023
Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards Zhaorun Chen Zhuokai Zhao Tairan He Binhao Chen Xuhao Zhao Liang Gong Chengliang Liu 14 3 0 05 Oct 2023
Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization Weiye Zhao Yifan Sun Fei Li Rui Chen Tianhao Wei Changliu Liu 21 6 0 25 Aug 2023
Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery Xiao Zhang Hai Zhang Hongtu Zhou Chang Huang Di Zhang Chen Ye Junqiao Zhao OffRL 22 4 0 24 Jun 2023
State-wise Constrained Policy Optimization Weiye Zhao Rui Chen Yifan Sun Tianhao Wei Changliu Liu 8 10 0 21 Jun 2023
Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications Jiangwei Wang Shuo Yang Ziyan An Songyang Han Zhili Zhang Rahul Mangharam Meiyi Ma Fei Miao 26 8 0 11 Jun 2023
GUARD: A Safe Reinforcement Learning Benchmark Weiye Zhao Rui Chen Yifan Sun Ruixuan Liu Tianhao Wei Changliu Liu 41 12 0 23 May 2023
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models Weiye Zhao Tairan He Changliu Liu 33 21 0 03 Oct 2022
Safety Index Synthesis via Sum-of-Squares Programming Weiye Zhao Tairan He Tianhao Wei Simin Liu Changliu Liu 28 28 0 19 Sep 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 111 237 0 20 May 2022
Safe Control with Neural Network Dynamic Models Tianhao Wei Changliu Liu 19 35 0 03 Oct 2021
On the Benefits of Inducing Local Lipschitzness for Robust Generative Adversarial Imitation Learning F. Memarian Abolfazl Hashemi S. Niekum Ufuk Topcu AAML 17 2 0 30 Jun 2021