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
Distributionally Safe Reinforcement Learning under Model Uncertainty: A Single-Level Approach by Differentiable Convex Programming A. Chriat Chuangchuang Sun 30 1 0 03 Oct 2023
Robust Offline Reinforcement Learning -- Certify the Confidence Interval Aayush Mishra Simon S. Du OffRL 34 0 0 28 Sep 2023
Wasserstein Distributionally Robust Control Barrier Function using Conditional Value-at-Risk with Differentiable Convex Programming A. Chriat Chuangchuang Sun 32 4 0 15 Sep 2023
Safe Reinforcement Learning with Dual Robustness Zeyang Li Chuxiong Hu Yunan Wang Yujie Yang Shengbo Eben Li OffRL 35 7 0 13 Sep 2023
Distributionally Robust Model-based Reinforcement Learning with Large State Spaces Shyam Sundhar Ramesh Pier Giuseppe Sessa Yifan Hu Andreas Krause Ilija Bogunovic OOD 42 10 0 05 Sep 2023
Robust Multi-Agent Reinforcement Learning with State Uncertainty Sihong He Songyang Han Sanbao Su Shuo Han Shaofeng Zou Fei Miao OOD 33 43 0 30 Jul 2023
FLARE: Fingerprinting Deep Reinforcement Learning Agents using Universal Adversarial Masks Buse G. A. Tekgul Nadarajah Asokan AAML 21 1 0 27 Jul 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang Yanchao Sun Ruijie Zheng Xiangyu Liu Benjamin Eysenbach T. Sandholm Furong Huang Stephen Marcus McAleer OOD 43 0 0 22 Jul 2023
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation Wenhao Ding Laixi Shi Yuejie Chi Ding Zhao OOD 32 18 0 15 Jul 2023
Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty Guanin Liu Zhihan Zhou Han Liu Lifeng Lai 36 1 0 15 Jul 2023
Enhancing the Robustness of QMIX against State-adversarial Attacks Weiran Guo Guanjun Liu Ziyuan Zhou Ling Wang Jiacun Wang AAML 32 7 0 03 Jul 2023
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity Runyu Zhang Yang Hu Na Li 41 5 0 20 Jun 2023
Robust Reinforcement Learning through Efficient Adversarial Herding Juncheng Dong Hao-Lun Hsu Qitong Gao Vahid Tarokh Miroslav Pajic 37 4 0 12 Jun 2023
Robustness Testing for Multi-Agent Reinforcement Learning: State Perturbations on Critical Agents Ziyuan Zhou Guanjun Liu AAML 21 7 0 09 Jun 2023
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model Laixi Shi Gen Li Yuting Wei Yuxin Chen M. Geist Yuejie Chi OOD 42 32 0 26 May 2023
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage Jose H. Blanchet Miao Lu Tong Zhang Han Zhong OffRL 45 30 0 16 May 2023
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers Lei Yuan Zifei Zhang Ke Xue Hao Yin F. Chen Cong Guan Lihe Li Chao Qian Yang Yu AAML 32 17 0 10 May 2023
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation Lei Yuan F. Chen Zhongzhan Zhang Yang Yu AAML 49 10 0 09 May 2023
Robust Multi-agent Communication via Multi-view Message Certification Lei Yuan T. Jiang Lihe Li F. Chen Zongzhang Zhang Yang Yu 37 2 0 07 May 2023
Simple Noisy Environment Augmentation for Reinforcement Learning Raad Khraishi Ramin Okhrati OffRL 21 1 0 04 May 2023
Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy Jiawei Zhao Xingjun Ma Florian Schäfer Xinyu Wang Anima Anandkumar Cong Wang AAML 26 1 0 04 May 2023
Adversarial Policy Optimization in Deep Reinforcement Learning Md Masudur Rahman Yexiang Xue AAML 27 0 0 27 Apr 2023
Can Agents Run Relay Race with Strangers? Generalization of RL to Out-of-Distribution Trajectories Li-Cheng Lan Huan Zhang Cho-Jui Hsieh OODD 26 9 0 26 Apr 2023
Model-Free Learning and Optimal Policy Design in Multi-Agent MDPs Under Probabilistic Agent Dropout Carmel Fiscko S. Kar Bruno Sinopoli 16 1 0 24 Apr 2023
Exploring the Noise Resilience of Successor Features and Predecessor Features Algorithms in One and Two-Dimensional Environments Hyunsung Lee 24 1 0 14 Apr 2023
Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems Sihan Zeng Thinh T. Doan Justin Romberg OffRL 27 3 0 23 Mar 2023
Twice Regularized Markov Decision Processes: The Equivalence between Robustness and Regularization E. Derman Yevgeniy Men M. Geist Shie Mannor 42 1 0 12 Mar 2023
Implicit Poisoning Attacks in Two-Agent Reinforcement Learning: Adversarial Policies for Training-Time Attacks Mohammad Mohammadi Jonathan Nöther Debmalya Mandal Adish Singla Goran Radanović AAML OffRL 35 9 0 27 Feb 2023
Regret-Based Defense in Adversarial Reinforcement Learning Roman Belaire Pradeep Varakantham Thanh Nguyen David Lo AAML 23 3 0 14 Feb 2023
Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence Simin Li Jun Guo Jingqiao Xiu Pu Feng Xin Yu Aishan Liu Wenjun Wu Xianglong Liu AAML 50 14 0 07 Feb 2023
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function Ruijie Zheng Xiyao Wang Huazhe Xu Furong Huang 48 13 0 02 Feb 2023
Optimal Transport Perturbations for Safe Reinforcement Learning with Robustness Guarantees James Queeney E. C. Ozcan I. Paschalidis Christos G. Cassandras OOD OffRL 31 5 0 31 Jan 2023
Certifiably Robust Reinforcement Learning through Model-Based Abstract Interpretation Chenxi Yang Greg Anderson Swarat Chaudhuri 32 1 0 26 Jan 2023
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness Ezgi Korkmaz 27 27 0 17 Jan 2023
SoK: Adversarial Machine Learning Attacks and Defences in Multi-Agent Reinforcement Learning Maxwell Standen Junae Kim Claudia Szabo AAML 37 5 0 11 Jan 2023
Certifying Safety in Reinforcement Learning under Adversarial Perturbation Attacks Junlin Wu Hussein Sibai Yevgeniy Vorobeychik AAML 31 0 0 28 Dec 2022
Targeted Adversarial Attacks on Deep Reinforcement Learning Policies via Model Checking Dennis Gross T. D. Simão N. Jansen G. Pérez AAML 46 2 0 10 Dec 2022
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han Sanbao Su Sihong He Shuo Han Haizhao Yang Shaofeng Zou Fei Miao AAML 33 23 0 06 Dec 2022
Adversarial Cheap Talk Chris Xiaoxuan Lu Timon Willi Alistair Letcher Jakob N. Foerster AAML 24 17 0 20 Nov 2022
Are AlphaZero-like Agents Robust to Adversarial Perturbations? Li-Cheng Lan Huan Zhang Ti-Rong Wu Meng-Yu Tsai I-Chen Wu Cho-Jui Hsieh AAML 24 10 0 07 Nov 2022
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification Takumi Tanabe Reimi Sato Kazuto Fukuchi Jun Sakuma Youhei Akimoto OffRL 27 8 0 07 Nov 2022
Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables Mengdi Xu Peide Huang Yaru Niu Visak C. V. Kumar Jielin Qiu ... Kuan-Hui Lee Xuewei Qi H. Lam Bo-wen Li Ding Zhao OOD 71 9 0 21 Oct 2022
Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning Yongyuan Liang Yanchao Sun Ruijie Zheng Furong Huang OOD AAML OffRL 28 47 0 12 Oct 2022
Bounded Robustness in Reinforcement Learning via Lexicographic Objectives Daniel Jarne Ornia Licio Romao Lewis Hammond M. Mazo Alessandro Abate 22 0 0 30 Sep 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 79 45 0 16 Sep 2022
Distributionally Robust Offline Reinforcement Learning with Linear Function Approximation Xiaoteng Ma Zhipeng Liang Jose H. Blanchet MingWen Liu Li Xia Jiheng Zhang Qianchuan Zhao Zhengyuan Zhou OOD OffRL 41 22 0 14 Sep 2022
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity Laixi Shi Yuejie Chi OOD OffRL 28 61 0 11 Aug 2022
Robust Reinforcement Learning using Offline Data Kishan Panaganti Zaiyan Xu D. Kalathil Mohammad Ghavamzadeh OffRL 40 67 0 10 Aug 2022
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis Tao Li Haozhe Lei Quanyan Zhu AAML 31 7 0 29 Jul 2022
Illusory Attacks: Information-Theoretic Detectability Matters in Adversarial Attacks Tim Franzmeyer Stephen McAleer João F. Henriques Jakob N. Foerster Philip Torr Adel Bibi Christian Schroeder de Witt AAML 28 7 0 20 Jul 2022