On the Robustness of Safe Reinforcement Learning under Observational Perturbations

29 May 2022

Jie Tan

Ding Zhao

Papers citing "On the Robustness of Safe Reinforcement Learning under Observational Perturbations"

28 / 28 papers shown

Title
Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning Shangding Gu Laixi Shi Muning Wen Ming Jin Eric Mazumdar Yuejie Chi Adam Wierman C. Spanos OOD OffRL 36 1 0 27 Feb 2025
A Survey of Reinforcement Learning for Optimization in Automation Ahmad Farooq Kamran Iqbal OffRL 79 1 0 13 Feb 2025
Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement Learning Zijian Guo Weichao Zhou Wenchao Li OffRL 80 2 0 28 Jan 2025
Towards Unraveling and Improving Generalization in World Models Qiaoyi Fang Weiyu Du Hang Wang Junshan Zhang OOD 28 0 0 03 Jan 2025
Constrained Optimal Fuel Consumption of HEV:Considering the Observational Perturbation Shuchang Yan Haoran Sun 24 0 0 28 Oct 2024
Identifying and Addressing Delusions for Target-Directed Decision-Making Mingde Zhao Tristan Sylvain Doina Precup Yoshua Bengio 24 0 0 09 Oct 2024
On the Perturbed States for Transformed Input-robust Reinforcement Learning T. Luu Haeyong Kang Matthew Groh Thanh Nguyen Chang D. Yoo OOD AAML OffRL 19 0 0 31 Jul 2024
OASIS: Conditional Distribution Shaping for Offline Safe Reinforcement Learning Yi-Fan Yao Zhepeng Cen Wenhao Ding Hao-ming Lin Shiqi Liu Tingnan Zhang Wenhao Yu Ding Zhao OffRL OnRL 44 0 0 19 Jul 2024
Tolerance of Reinforcement Learning Controllers against Deviations in Cyber Physical Systems Changjian Zhang Parv Kapoor Eunsuk Kang Romulo Meira-Goes David Garlan Akila Ganlath Shatadal Mishra N. Ammar 29 0 0 24 Jun 2024
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 32 3 0 20 May 2024
Learning Predictive Safety Filter via Decomposition of Robust Invariant Set Zeyang Li Chuxiong Hu Weiye Zhao Changliu Liu 15 5 0 12 Nov 2023
Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning Yi-Fan Yao Zuxin Liu Zhepeng Cen Jiacheng Zhu Wenhao Yu Tingnan Zhang Ding Zhao OffRL 15 12 0 05 Oct 2023
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration Jinning Li Xinyi Liu Banghua Zhu Jiantao Jiao M. Tomizuka Chen Tang Wei Zhan OffRL OnRL 56 9 0 18 Sep 2023
Wasserstein Distributionally Robust Control Barrier Function using Conditional Value-at-Risk with Differentiable Convex Programming A. Chriat Chuangchuang Sun 19 4 0 15 Sep 2023
Safe Reinforcement Learning with Dual Robustness Zeyang Li Chuxiong Hu Yunan Wang Yujie Yang Shengbo Eben Li OffRL 16 7 0 13 Sep 2023
Learning Shared Safety Constraints from Multi-task Demonstrations Konwoo Kim Gokul Swamy Zuxin Liu Ding Zhao Sanjiban Choudhury Zhiwei Steven Wu 18 14 0 01 Sep 2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning Zuxin Liu Zijian Guo Haohong Lin Yi-Fan Yao Jiacheng Zhu ... Hanjiang Hu Wenhao Yu Tingnan Zhang Jie Tan Ding Zhao OffRL 17 35 0 15 Jun 2023
Safe Offline Reinforcement Learning with Real-Time Budget Constraints Qian Lin Bo Tang Zifan Wu Chao Yu Shangqin Mao Qianlong Xie Xingxing Wang Dong Wang OffRL 16 11 0 01 Jun 2023
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors Shangding Gu Alap Kshirsagar Yali Du Guang Chen Jan Peters Alois C. Knoll 12 14 0 25 Feb 2023
Constrained Decision Transformer for Offline Safe Reinforcement Learning Zuxin Liu Zijian Guo Yi-Fan Yao Zhepeng Cen Wenhao Yu Tingnan Zhang Ding Zhao OffRL 21 46 0 14 Feb 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees James Queeney E. C. Ozcan I. Paschalidis Christos G. Cassandras OOD OffRL 24 5 0 31 Jan 2023
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking Dennis Gross T. D. Simão N. Jansen G. Pérez AAML 20 1 0 10 Dec 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Bo-wen Li Ding Zhao 61 45 0 16 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 102 231 0 20 May 2022
Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training Peide Huang Mengdi Xu Fei Fang Ding Zhao 43 37 0 19 Feb 2022
Towards Safe Reinforcement Learning with a Safety Editor Policy Haonan Yu Wei-ping Xu Haichao Zhang OffRL 50 31 0 28 Jan 2022
Multi-Agent Constrained Policy Optimisation Shangding Gu J. Kuba Munning Wen Ruiqing Chen Ziyan Wang Zheng Tian Jun Wang Alois Knoll Yaodong Yang 84 49 0 06 Oct 2021
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary Huan Zhang Hongge Chen Duane S. Boning Cho-Jui Hsieh 52 161 0 21 Jan 2021