Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

19 March 2020

Papers citing "Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations"

50 / 147 papers shown

Title
Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp Eran Aizikovich D. Mimran Edita Grolman Yuval Elovici A. Shabtai 38 0 0 03 May 2025
State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang Zekai Sun Ling Xiong Hongbin Liang Heming Cui Yong Cui AAML 90 1 0 26 Mar 2025
Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang ... Ling Xiong Hongbin Liang Heming Cui Yong Cui Yue Gao AAML 55 2 0 26 Mar 2025
Quantum-Inspired Reinforcement Learning in the Presence of Epistemic Ambivalence Alireza Habibi Saeed Ghoorchian S. Maghsudi 68 0 0 06 Mar 2025
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 2 0 27 Feb 2025
Microservice Deployment in Space Computing Power Networks via Robust Reinforcement Learning Zhiyong Yu Yuning Jiang Xin Liu Yuanming Shi Chunxiao Jiang Linling Kuang 41 0 0 08 Jan 2025
Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks Zijiao Yang Xiangxi Shi Eric Slyman Stefan Lee AAML 84 1 0 03 Dec 2024
Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions Rui Yang Jie Wang Guoping Wu Yangqiu Song AAML OffRL 48 1 0 01 Nov 2024
Constrained Optimal Fuel Consumption of HEV:Considering the Observational Perturbation Shuchang Yan Haoran Sun 33 0 0 28 Oct 2024
DyPNIPP: Predicting Environment Dynamics for RL-based Robust Informative Path Planning Srujan Deolasee Siva Kailas Wenhao Luo Katia P. Sycara Woojun Kim 34 1 0 22 Oct 2024
Benchmarking Deep Reinforcement Learning for Navigation in Denied Sensor Environments Mariusz Wisniewski Paraskevas Chatzithanos Weisi Guo Antonios Tsourdos 38 3 0 18 Oct 2024
Solving robust MDPs as a sequence of static RL problems Adil Zouitine Matthieu Geist Emmanuel Rachelson 33 0 0 08 Oct 2024
Mitigating Adversarial Perturbations for Deep Reinforcement Learning via Vector Quantization Tung M. Luu Thanh Nguyen Tee Joshua Tian Jin Sungwoon Kim Chang D. Yoo AAML 28 0 0 04 Oct 2024
Navigation in a simplified Urban Flow through Deep Reinforcement Learning Federica Tonti Jean Rabault Ricardo Vinuesa 39 3 0 26 Sep 2024
Reward-Robust RLHF in LLMs Yuzi Yan Xingzhou Lou Jialian Li Yiping Zhang Jian Xie Chao Yu Yu Wang Dong Yan Yuan Shen 51 9 0 18 Sep 2024
Robust off-policy Reinforcement Learning via Soft Constrained Adversary Kosuke Nakanishi Akihiro Kubo Yuji Yasui Shin Ishii 48 0 0 31 Aug 2024
SpecGuard: Specification Aware Recovery for Robotic Autonomous Vehicles from Physical Attacks Pritam Dash Ethan Chan Karthik Pattabiraman AAML 55 3 0 27 Aug 2024
Training Verifiably Robust Agents Using Set-Based Reinforcement Learning Manuel Wendl Lukas Koller Tobias Ladner Matthias Althoff OOD OffRL 37 0 0 17 Aug 2024
Adversarial Safety-Critical Scenario Generation using Naturalistic Human Driving Priors Kunkun Hao Yonggang Luo Wen Cui Yuqiao Bai Jucheng Yang Songyang Yan Yuxi Pan Zijiang Yang AAML 36 19 0 06 Aug 2024
On the Perturbed States for Transformed Input-robust Reinforcement Learning Tung M. Luu Haeyong Kang Matthew Groh Thanh Nguyen Chang D. Yoo OOD AAML OffRL 31 0 0 31 Jul 2024
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents Chung-En Sun Sicun Gao Tsui-Wei Weng AAML 26 3 0 26 Jun 2024
Understanding and Diagnosing Deep Reinforcement Learning Ezgi Korkmaz 33 3 0 23 Jun 2024
Robust Cooperative Multi-Agent Reinforcement Learning:A Mean-Field Type Game Perspective Muhammad Aneeq uz Zaman Mathieu Laurière Alec Koppel Tamer Basar 48 3 0 20 Jun 2024
RRLS : Robust Reinforcement Learning Suite Adil Zouitine David Bertoin Pierre Clavier Matthieu Geist Emmanuel Rachelson OffRL 32 2 0 12 Jun 2024
Time-Constrained Robust MDPs Adil Zouitine David Bertoin Pierre Clavier Matthieu Geist Emmanuel Rachelson OOD 37 0 0 12 Jun 2024
Robust Deep Reinforcement Learning against Adversarial Behavior Manipulation Shojiro Yamabe Kazuto Fukuchi Jun Sakuma AAML 63 0 0 06 Jun 2024
Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action Space Qian Liu Yufei Kuang Jie Wang AAML 27 2 0 20 May 2024
Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses Thanh Nguyen Tung M. Luu Tri Ton Chang D. Yoo OffRL AAML 34 0 0 18 May 2024
Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management Ravikumar Balakrishnan Marius Arvinte N. Himayat Hosein Nikopour Hassnaa Moustafa AAML 40 2 0 06 May 2024
Beyond the Edge: An Advanced Exploration of Reinforcement Learning for Mobile Edge Computing, its Applications, and Future Research Trajectories Ning Yang Shuo Chen Haijun Zhang Randall Berry OffRL 34 6 0 22 Apr 2024
Efficient Duple Perturbation Robustness in Low-rank MDPs Yang Hu Haitong Ma Bo Dai Na Li 28 0 0 11 Apr 2024
Unifying Qualitative and Quantitative Safety Verification of DNN-Controlled Systems Dapeng Zhi Peixin Wang Si Liu C.-H. Luke Ong Min Zhang 36 5 0 02 Apr 2024
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations Xiaolin Sun Zizhan Zheng OnRL 35 1 0 06 Mar 2024
A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning Abdelhakim Benechehab Albert Thomas Giuseppe Paolo Maurizio Filippone Balázs Kégl NoLa 28 1 0 05 Feb 2024
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error Haoran Li Zicheng Zhang Wang Luo Congying Han Yudong Hu Tiande Guo Shichen Liao AAML 34 2 0 03 Feb 2024
Camouflage Adversarial Attacks on Multiple Agent Systems Ziqing Lu Guanlin Liu Lifeng Lai Weiyu Xu AAML 32 1 0 30 Jan 2024
A Survey Analyzing Generalization in Deep Reinforcement Learning Ezgi Korkmaz OffRL 32 2 0 04 Jan 2024
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning Bram Grooten Tristan Tomilin Gautham Vasan Matthew E. Taylor A. R. Mahmood Meng Fang Mykola Pechenizkiy Decebal Constantin Mocanu 32 8 0 23 Dec 2023
Robust Communicative Multi-Agent Reinforcement Learning with Active Defense Lebin Yu Yunbo Qiu Quanming Yao Yuan Shen Xudong Zhang Jian Wang AAML 13 2 0 16 Dec 2023
Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming Minjae Cho Chuangchuang Sun 35 3 0 15 Dec 2023
Robustness Verification of Deep Reinforcement Learning Based Control Systems using Reward Martingales Dapeng Zhi Peixin Wang Cheng Chen Min Zhang 28 0 0 15 Dec 2023
$Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks$ Improve Robustness of Reinforcement Learning against Observation Perturbations via $l_\infty$ Lipschitz Policy Networks Buqing Nie Jingtian Ji Yangqing Fu Yue Gao 45 4 0 14 Dec 2023
ReRoGCRL: Representation-based Robustness in Goal-Conditioned Reinforcement Learning Xiangyu Yin Sihao Wu Jiaxu Liu Meng Fang Xingyu Zhao Xiaowei Huang Wenjie Ruan AAML 50 5 0 12 Dec 2023
Reward Certification for Policy Smoothed Reinforcement Learning Ronghui Mu Leandro Soriano Marcolino Tianle Zhang Yanghao Zhang Xiaowei Huang Wenjie Ruan 32 5 0 11 Dec 2023
MICRO: Model-Based Offline Reinforcement Learning with a Conservative Bellman Operator Xiao-Yin Liu Xiao-Hu Zhou Guo-Tao Li Hao Li Mei-Jiang Gui Tian-Yu Xiang De-Xing Huang Zeng-Guang Hou OffRL 42 4 0 07 Dec 2023
Optimal Attack and Defense for Reinforcement Learning Jeremy McMahan Young Wu Xiaojin Zhu Qiaomin Xie AAML OffRL 31 9 0 30 Nov 2023
Corruption-Robust Offline Reinforcement Learning with General Function Approximation Chen Ye Rui Yang Quanquan Gu Tong Zhang OffRL 35 17 0 23 Oct 2023
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption Rui Yang Han Zhong Jiawei Xu Amy Zhang Chong Zhang Lei Han Tong Zhang OffRL OnRL 41 15 0 19 Oct 2023
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms Alexander Bukharin Yan Li Yue Yu Qingru Zhang Zhehui Chen Simiao Zuo Chao Zhang Songan Zhang Tuo Zhao OOD AAML 30 18 0 16 Oct 2023
Adjustable Robust Reinforcement Learning for Online 3D Bin Packing Yuxin Pan Yize Chen Fangzhen Lin OffRL 43 10 0 06 Oct 2023